diff --git a/publish/chatgpt_project_compact_general/KB__00_INDEX.md b/publish/chatgpt_project_compact_general/KB__00_INDEX.md new file mode 100644 index 0000000..3338708 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__00_INDEX.md @@ -0,0 +1,51 @@ +# Compact ChatGPT Project KB Package + +## Package purpose +This package condenses the published Knowledge Base into a governed markdown package for upload into ChatGPT Project. + +## Generated timestamp +2026-05-28T10:12:19+00:00 + +## Canonical managed pipeline +transcript -> chunk -> source card -> concept / workflow / pattern extraction -> grounded synthesis -> publish package -> compact package -> automated smoke QA -> automated acceptance check -> next scope decision -> use-case routing + +## Source folders used +- `publish/chatgpt_project/` +- `publish/markdown_kb/` + +## Output files +- `KB__00_INDEX.md` +- `KB__01_NAVIGATION.md` +- `KB__02_CONTENT.md` +- `KB__03_WORKFLOWS_TRACEABILITY.md` +- `KB__04_SMOKE_QA.md` +- `KB__RELEASE_MANIFEST.md` +- `KB__CHANGELOG.md` +- `KB__REVIEW_QUEUE.md` +- `KB__CARD_SCHEMA.md` +- `KB__CONFIDENCE_RULES.md` +- `KB__PROMOTION_GATES.md` +- `KB__RETRIEVAL_QA.md` +- `KB__DEDUPLICATION.md` +- `KB__USE_CASE_ROUTING.md` +- `README.md` +- `MANIFEST.md` + +## Recommended usage in ChatGPT Project +Upload all files from `publish/chatgpt_project_compact` into the same ChatGPT Project knowledge area. Start with `KB__00_INDEX.md`, then use `KB__01_NAVIGATION.md` to orient questions and `KB__04_SMOKE_QA.md` to test retrieval. + +## Governance rule +Smoke QA is not the final stage. Treat the package as not production-promoted unless `KB__PROMOTION_GATES.md`, `KB__RETRIEVAL_QA.md`, and `KB__RELEASE_MANIFEST.md` show deterministic pass conditions. + +## Limitations +- Compact files are derived from published markdown only. +- Raw transcripts, source cards, clean notes, chunks, temp files, and logs are excluded. +- Large markdown files may be skipped according to `--max-file-mb`. +- This package does not add semantic search, embeddings, vector databases, web UI, or autonomous retrieval. + +## Update procedure +Regenerate the publish outputs first if needed, then run: + +```bash +python3 scripts/build_chatgpt_compact_kb.py +``` diff --git a/publish/chatgpt_project_compact_general/KB__01_NAVIGATION.md b/publish/chatgpt_project_compact_general/KB__01_NAVIGATION.md new file mode 100644 index 0000000..6520565 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__01_NAVIGATION.md @@ -0,0 +1,312 @@ +# Navigation + +## Managed Knowledge System +Canonical pipeline: + +```text +transcript -> chunk -> source card -> concept / workflow / pattern extraction -> grounded synthesis -> publish package -> compact package -> automated smoke QA -> automated acceptance check -> next scope decision -> use-case routing +``` + +Smoke QA is a pre-acceptance gate. Final use requires automated acceptance, next scope decision, and use-case routing. + +## Governed compact files +- `KB__00_INDEX.md` — package entrypoint. +- `KB__01_NAVIGATION.md` — navigation and routing. +- `KB__02_CONTENT.md` — compact published content. +- `KB__03_WORKFLOWS_TRACEABILITY.md` — workflows, traceability, gates, and promotion control. +- `KB__04_SMOKE_QA.md` — automated smoke and retrieval QA requirements. +- `KB__05_CANONICAL_CONCEPTS.md` — generated by synthesis layer. +- `KB__06_OPERATIONAL_FRAMEWORKS.md` — generated by synthesis layer. +- `KB__07_PATTERNS_AND_FAILURES.md` — generated by synthesis layer. +- `KB__08_USE_CASES_FOR_SERGEY.md` — generated by synthesis layer. +- `KB__RELEASE_MANIFEST.md` — release governance and promotion state. +- `KB__REVIEW_QUEUE.md` — weak, unsupported, duplicate, conflict, and traceability items. +- `KB__CARD_SCHEMA.md` — card passport and review status schema. +- `KB__CONFIDENCE_RULES.md` — confidence and promotion rules. +- `KB__PROMOTION_GATES.md` — automated gates before production promotion. +- `KB__RETRIEVAL_QA.md` — deterministic retrieval QA schema and checks. +- `KB__DEDUPLICATION.md` — duplicate detection and merge policy. +- `KB__USE_CASE_ROUTING.md` — use-case routing contract. + +## User aliases +- `7 великих на GitHub` routes to these source cards: Hamel Husain (`ba8f38829c4c`), Simon Willison (`047131d56e3f`), Sebastian Raschka (`0289a622670f`), Paul Gauthier (`1b55b74e10a7`), Jason Liu (`6d3f1535b610`), Georgi Gerganov (`fbca6860f502`), Phil Wang (`3aab3b710e61`). +- When a prompt mentions `7 великих на GitHub`, answer from this seven-source subset first, then state if additional KB sources were used. + + + +# ChatGPT Project KB Index + +## Purpose + +This file is the navigation layer for the ChatGPT Project knowledge base. Use it first to decide which uploaded file to consult, how to ask grounded questions, and how to check whether an answer is supported by the published package. + +## Publish Metadata + +- generation_mode: chatgpt_project +- generated_timestamp: 1970-01-01T00:00:00+00:00 +- judge_readiness: ready +- source_index_reference: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/sources_index.csv +- input_artifact_paths: + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/publish/chatgpt_project/AI_KB_Context_File_v1.0.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/sources_index.csv + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/concepts_index.csv + +## Files to Use + +| File | Purpose | When to use | +|---|---|---| +| `AI_KB_Context_File_v1.0.md` | Main uploaded knowledge context with publish metadata, topic files, concept files, and source-card references. | Use for source-backed answers, topic review, and main KB context. | +| `INDEX.md` | Routing and navigation guide for the ChatGPT Project package. | Use first when deciding which file or section should answer a question. | +| `CONCEPT_MAP.md` | MVP-9.3 concept inventory, package concepts, relationships, answer pattern, and limitations. | Use when concept depth, concept explanation, concept coverage, or concept limitations matter. | +| `WORKFLOW_MAP.md` | MVP-9.3 workflow inventory with triggers, inputs, ordered steps, outputs, QA gates, and evidence. | Use when the user asks for a process, pipeline, checklist, operational sequence, or gate. | +| `TRACEABILITY_GUIDE.md` | MVP-9.3 evidence matrix, source grounding rules, traceability levels, and confidence pattern. | Use when an answer needs source support, confidence, limitation handling, or unsupported-claim checks. | +| `KB_USAGE_GUIDE.md` | Practical prompt patterns and answer-quality criteria. | Use when answers are too generic or when testing whether the Project follows the KB structure. | +| `SMOKE_QUESTIONS.md` | Consumer QA question set. | Use after upload to test navigation, concept depth, workflows, traceability, gaps, and next-scope recommendations. | + +## Helper Files + +| File | Use When | +|---|---| +| `CONCEPT_MAP.md` | Need concept lookup, concept explanation, or concept relationships. | +| `WORKFLOW_MAP.md` | Need process, pipeline, ordered steps, workflow inputs, outputs, or QA gates. | +| `TRACEABILITY_GUIDE.md` | Need evidence, source grounding, confidence, or limitation reporting. | +| `KB_USAGE_GUIDE.md` | Need usage instructions or prompt patterns. | +| `SMOKE_QUESTIONS.md` | Need QA questions for consumer testing. | + +## Main Knowledge File + +`AI_KB_Context_File_v1.0.md` is the primary ChatGPT Project context file. It contains the published knowledge package assembled from workspace indexes, topic pages, concept pages, and source-card references. + +When querying it: + +1. Start with `INDEX.md` to choose the route. +2. Use `CONCEPT_MAP.md` for concept explanation. +3. Use `WORKFLOW_MAP.md` for process extraction. +4. Use `TRACEABILITY_GUIDE.md` when evidence or confidence matters. +5. Ask the model to distinguish facts from recommendations and limitations. + +## How to Ask Questions + +Use these query patterns: + +1. Concept lookup: "Используй `CONCEPT_MAP.md` и main KB: какие концепции связаны с [topic], где они описаны, и какие limitations есть?" +2. Workflow extraction: "Используй `WORKFLOW_MAP.md`: опиши workflow для [task] только по загруженной KB, включая inputs, steps, outputs и QA." +3. Source traceability: "Используй `TRACEABILITY_GUIDE.md`: какие package files подтверждают вывод про [claim], и какой confidence level?" +4. Gap detection: "Что в базе недостаточно покрыто по теме [topic], и какой файл это показывает?" +5. Next-scope decision: "Какой следующий MVP выбрать на основе QA evidence и почему?" + +## Decision Map + +| User Need | Use This Section / File | +|---|---| +| Understand what was uploaded | `INDEX.md` -> `Files to Use` | +| Explain a concept | `CONCEPT_MAP.md` -> `Concept Inventory`, `Package Concepts`, and `Concept Answer Pattern` | +| Extract a workflow | `WORKFLOW_MAP.md` -> `Workflow Inventory`, `QA Gate Map`, and `Workflow Extraction Rules` | +| Validate a claim | `TRACEABILITY_GUIDE.md` -> `Evidence Matrix`, `Source Traceability Levels`, and `Answer Grounding Rules` | +| Ask practical KB questions | `KB_USAGE_GUIDE.md` -> `Recommended Query Patterns` | +| Identify major topics or concepts | `AI_KB_Context_File_v1.0.md` plus `CONCEPT_MAP.md` | +| Run consumer QA | `SMOKE_QUESTIONS.md` | +| Decide next MVP | `QA_COMPARISON_MVP_9_2.md`, `NEXT_SCOPE_DECISION.md`, and `TRACEABILITY_GUIDE.md` | + +## Known Limitations + +- The current concept taxonomy contains a small set of top-level concepts; `CONCEPT_MAP.md` adds coverage and limitation routing without inventing definitions. +- Workflow extraction was weak in MVP-9.2 QA; `WORKFLOW_MAP.md` adds named workflows, triggers, inputs, outputs, and QA gates. +- Source traceability exists, but confidence should be labeled with `TRACEABILITY_GUIDE.md` and unsupported claims should be rejected. +- Some topic content is deterministic and may read like placeholders until richer synthesis is enabled. +- ChatGPT Project behavior still requires manual consumer QA after upload. +- This package does not include embeddings, vector database, scheduler, web UI, Mode B, Mode C, API server, search CLI, or semantic RAG. +- If a question cannot be grounded in the uploaded package, the answer should say that the KB is insufficient rather than inventing detail. + +## Recommended Smoke Test + +Use `SMOKE_QUESTIONS.md` after uploading `AI_KB_Context_File_v1.0.md`, `INDEX.md`, `CONCEPT_MAP.md`, `WORKFLOW_MAP.md`, `TRACEABILITY_GUIDE.md`, and `KB_USAGE_GUIDE.md`. A useful answer should follow this routing, cite package files when possible, and report limitations clearly. + + + +# Concept Map + +## Purpose + +Use this file when ChatGPT Project needs deeper concept lookup than the main context file alone provides. It routes concept questions to the correct package files, separates source-backed facts from QA recommendations, and flags the known MVP-9.2 weakness: concept depth was still shallow. + +## Concept Inventory + +This inventory is grounded in `concepts_index.csv` and the concept pages embedded in `AI_KB_Context_File_v1.0.md`. + +| Concept | Evidence in package | Source coverage | Consumer use | Known limitation | +|---|---|---|---|---| +| `general_knowledge` / General Knowledge | `concepts_index.csv`, `workspace/knowledge/concepts/general_knowledge.md`, main KB Concepts section | 105 source references | Use as a broad catch-all only after checking whether a more specific concept applies. | Too broad for precise answers; ask for source IDs and topic sections. | +| `ai_systems` / Ai Systems | `concepts_index.csv`, `workspace/knowledge/concepts/ai_systems.md`, main KB Concepts section | 57 source references | Use for local AI, agents, Ollama, Codex, RAG, n8n, prompting, and AI infrastructure questions. | Definition field says `not found in source`; avoid pretending a synthesized definition exists. | +| `security_workflow` / Security Workflow | `concepts_index.csv`, `workspace/knowledge/concepts/security_workflow.md`, main KB Concepts section | 18 source references | Use for 1Password, passkeys, browser extension, access policy, and security setup workflows. | Related concepts are not generated; connect to workflows through source IDs and source cards. | +| `finance_analytics` / Finance Analytics | `concepts_index.csv`, `workspace/knowledge/concepts/finance_analytics.md`, main KB Concepts section | 16 source references | Use for variance analysis, financial statements, SaaS metrics, dashboards, and FP&A questions. | Calculations must not be invented; require source-backed method and explicit assumptions. | +| `power_bi` / Power Bi | `concepts_index.csv`, `workspace/knowledge/concepts/power_bi.md`, main KB Concepts section | 14 source references | Use for Power BI modeling, dashboards, reconciliation, star schema, and report-building questions. | Do not infer a full data model unless the referenced source card supports it. | +| `knowledge_organization` / Knowledge Organization | `concepts_index.csv`, `workspace/knowledge/concepts/knowledge_organization.md`, main KB Concepts section | 13 source references | Use for PARA, second brain, file organization, source cards, KB package structure, and publish usability. | Definition field says `not found in source`; answer through evidence, not invented taxonomy. | + +## Package Concepts + +These concepts are not rows in `concepts_index.csv`, but they are required to answer Project-usage and publish-pipeline questions. + +| Concept | Definition for this package | Evidence | Confidence | +|---|---|---|---| +| Source Card | Source-level markdown artifact listed by source ID and path, used to connect published claims back to source material. | `AI_KB_Context_File_v1.0.md` Source Traceability, `sources_index.csv` | strong | +| KB Context File | Main ChatGPT Project file that embeds publish metadata, knowledge index, topic pages, concept pages, and source-card references. | `AI_KB_Context_File_v1.0.md` | strong | +| Publish Package | User-facing `publish/` outputs for ChatGPT Project, markdown KB, and Obsidian. | `publish/README.md`, `RELEASE_MANIFEST.md`, publish directories | strong | +| ChatGPT Project Package | Upload-oriented subset under `publish/chatgpt_project/`. | `INDEX.md`, `KB_USAGE_GUIDE.md`, `SMOKE_QUESTIONS.md` | strong | +| Consumer QA | Question-based usability check over the published package. | `SMOKE_QUESTIONS.md`, `OLLAMA_QA_RERUN_MVP_9_2.md`, `QA_COMPARISON_MVP_9_2.md` | medium | +| Acceptance Check | Stage-close artifact that records verdict, evidence, residual risks, and next required scope. | `ACCEPTANCE_CHECK_MVP_9_2.md`, current acceptance criteria | strong | +| Next Scope Decision | Evidence-based choice of what to do after QA. | `QA_COMPARISON_MVP_9_2.md`, `NEXT_SCOPE_DECISION.md` when uploaded | medium | + +## Concept Relationships + +```text +source material +-> source card +-> topic page +-> concept page +-> AI_KB_Context_File_v1.0.md +-> ChatGPT Project package +-> consumer QA +-> acceptance check +-> next scope decision +``` + +Key relationships: + +- Source cards support topic and concept pages. +- Topic pages and concept pages are embedded in the main KB context file. +- Helper files do not replace the main KB; they route questions to it. +- Consumer QA tests whether the package can answer practical questions. +- Acceptance checks prevent moving to MVP-10 until the QA verdict supports it. + +## Concept Answer Pattern + +For concept questions, answer in this order: + +1. name the concept and the exact package file used; +2. state whether it is an indexed concept or a package-operational concept; +3. summarize what the package supports; +4. list source IDs or package artifacts when available; +5. state limitations, especially `not found in source`, shallow taxonomy, or single-file evidence; +6. avoid adding embeddings, search CLI, web UI, Mode B, Mode C, scheduler, or new generation logic as a fix unless the QA verdict later supports it. + +## MVP-9.2 Weaknesses Covered + +- Concept lookup was marked partial because the concept taxonomy was shallow. +- This file adds a direct concept inventory with source coverage and limitations. +- This file still does not invent definitions where source concept pages say `not found in source`. + + + +# KB Usage Guide + +## Purpose + +Use this guide to ask grounded, useful questions inside a ChatGPT Project that has the published knowledge base uploaded. This guide routes question types to the correct helper files. + +## Upload Set + +Upload: + +1. `AI_KB_Context_File_v1.0.md` +2. `INDEX.md` +3. `CONCEPT_MAP.md` +4. `WORKFLOW_MAP.md` +5. `TRACEABILITY_GUIDE.md` +6. `SMOKE_QUESTIONS.md` +7. `KB_USAGE_GUIDE.md` + +## Recommended Query Patterns + +### Concept lookup + +Use `CONCEPT_MAP.md`. + +Prompt: + +```text +Используй CONCEPT_MAP.md, concepts_index.csv и AI_KB_Context_File_v1.0.md. Какие концепции в загруженной KB связаны с [topic]? Для каждой концепции укажи: indexed/package concept, evidence file, source coverage if available, why it matters, limitations, and confidence. +``` + +### Workflow extraction + +Use `WORKFLOW_MAP.md`. + +Prompt: + +```text +Используй WORKFLOW_MAP.md и AI_KB_Context_File_v1.0.md. Опиши workflow для [task] только на основе загруженной KB. Раздели workflow name, trigger, inputs, ordered steps, outputs, QA gates, evidence, failure modes и limitations. +``` + +### Source traceability + +Use `TRACEABILITY_GUIDE.md`. + +Prompt: + +```text +Используй TRACEABILITY_GUIDE.md. Какие package files, source cards, topic sections, concept rows или index references подтверждают вывод про [claim]? Укажи evidence role и confidence level: strong, medium, weak или unsupported. +``` + +### Gap analysis + +Use `TRACEABILITY_GUIDE.md`, `QA_COMPARISON_MVP_9_2.md`, and `NEXT_SCOPE_DECISION.md` when available. + +Prompt: + +```text +Какие gaps или weak coverage есть по теме [topic]? Отдели факты из KB от QA recommendations. Не предлагай embeddings, search CLI или web UI, если проблема сначала требует структуры или индекса. +``` + +### Next-scope decision + +Use `NEXT_SCOPE_DECISION.md`, `QA_COMPARISON_MVP_9_2.md`, and `TRACEABILITY_GUIDE.md`. + +Prompt: + +```text +На основе QA evidence и загруженной KB выбери следующий MVP: Lightweight Search CLI, KB Structure Revision, Index Revision или Incremental Publish. Объясни решение через evidence, limitations и confidence. +``` + +## Routing Rules + +- For concept questions, use `CONCEPT_MAP.md` first, then the main KB. +- For workflow questions, use `WORKFLOW_MAP.md` first, then the main KB. +- For evidence or source questions, use `TRACEABILITY_GUIDE.md`. +- For QA checks, use `SMOKE_QUESTIONS.md`. +- For general package navigation, use `INDEX.md`. + +## Good Answer Criteria + +A good answer should: + +- use the uploaded KB; +- identify which uploaded file or section it used; +- separate facts, recommendations, and limitations; +- mention uncertainty when evidence is weak; +- avoid inventing unsupported sources; +- use `CONCEPT_MAP.md` for concept depth; +- use `WORKFLOW_MAP.md` for process extraction; +- use `TRACEABILITY_GUIDE.md` for evidence confidence; +- name the evidence file for each important claim; +- state when a concept page says `not found in source`; +- mark QA findings as recommendations or risks, not source facts; +- avoid recommending embeddings, search CLI, web UI, scheduler, Mode B, or Mode C before current structure quality is proven; +- recommend next scope based on QA evidence. + +## Bad Answer Signals + +- generic answer that could ignore the uploaded KB; +- ignores `INDEX.md`; +- ignores `CONCEPT_MAP.md` for concept questions; +- ignores `WORKFLOW_MAP.md` for workflow questions; +- ignores `TRACEABILITY_GUIDE.md` for evidence questions; +- invents files, sources, or metrics; +- recommends embeddings too early; +- recommends search CLI, web UI, or scheduler before QA proves the package is useful; +- does not mention limitations; +- does not distinguish source-backed claims from recommendations. + +## Manual QA Checklist + +Use `SMOKE_QUESTIONS.md` for the next consumer QA pass. The next QA should specifically check whether concept depth, workflow extraction, and source traceability improved after adding `CONCEPT_MAP.md`, `WORKFLOW_MAP.md`, and `TRACEABILITY_GUIDE.md`. diff --git a/publish/chatgpt_project_compact_general/KB__02_CONTENT.md b/publish/chatgpt_project_compact_general/KB__02_CONTENT.md new file mode 100644 index 0000000..b0fe00e --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__02_CONTENT.md @@ -0,0 +1,715 @@ +# Content + + + +# Full Markdown Knowledge Base + +## Publish Metadata +- generation_mode: markdown_kb +- generated_timestamp: 1970-01-01T00:00:00+00:00 +- judge_readiness: needs_review +- source_index_reference: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/sources_index.csv +- input_artifact_paths: + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/sources_index.csv + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/concepts_index.csv + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/AI_Systems.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Finance_Analytics.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/General_Knowledge.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Knowledge_Organization.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Power_BI.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Security.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/finance_analytics.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/general_knowledge.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/knowledge_organization.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/power_bi.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/security_workflow.md + +## Source Traceability +- sources_index: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/publish/markdown_kb/sources_index.csv +- concepts_index: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/publish/markdown_kb/concepts_index.csv + +## Topics +### AI_Systems + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/AI_Systems.md + +# AI Systems + +## What This Topic Covers +Deterministic topic page built from 111 source cards. + +## Core Ideas +- Claims are limited to source-card-backed placeholders until richer synthesis is explicitly enabled. + +## Concepts +- [[ai_systems]] + +## Source-Backed Rules +- See linked source cards for evidence fields and chunk references. + +## Source Cards + +## Conflicts / Caveats +- not found in source + +## Review Status +review_required: false + +### Finance_Analytics + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Finance_Analytics.md + +# Finance Analytics + +## What This Topic Covers +Deterministic topic page built from 20 source cards. + +## Core Ideas +- Claims are limited to source-card-backed placeholders until richer synthesis is explicitly enabled. + +## Concepts +- [[finance_analytics]] + +## Source-Backed Rules +- See linked source cards for evidence fields and chunk references. + +## Source Cards + +## Conflicts / Caveats +- not found in source + +## Review Status +review_required: false + +### General_Knowledge + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/General_Knowledge.md + +# General Knowledge + +## What This Topic Covers +Deterministic topic page built from 205 source cards. + +## Core Ideas +- Claims are limited to source-card-backed placeholders until richer synthesis is explicitly enabled. + +## Concepts +- [[general_knowledge]] + +## Source-Backed Rules +- See linked source cards for evidence fields and chunk references. + +## Source Cards + +## Conflicts / Caveats +- not found in source + +## Review Status +review_required: false + +### Knowledge_Organization + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Knowledge_Organization.md + +# Knowledge Organization + +## What This Topic Covers +Deterministic topic page built from 26 source cards. + +## Core Ideas +- Claims are limited to source-card-backed placeholders until richer synthesis is explicitly enabled. + +## Concepts +- [[knowledge_organization]] + +## Source-Backed Rules +- See linked source cards for evidence fields and chunk references. + +## Source Cards + +## Conflicts / Caveats +- not found in source + +## Review Status +review_required: false + +### Power_BI + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Power_BI.md + +# Power BI + +## What This Topic Covers +Deterministic topic page built from 18 source cards. + +## Core Ideas +- Claims are limited to source-card-backed placeholders until richer synthesis is explicitly enabled. + +## Concepts +- [[power_bi]] + +## Source-Backed Rules +- See linked source cards for evidence fields and chunk references. + +## Source Cards + +## Conflicts / Caveats +- not found in source + +## Review Status +review_required: false + +### Security + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Security.md + +# Security + +## What This Topic Covers +Deterministic topic page built from 18 source cards. + +## Core Ideas +- Claims are limited to source-card-backed placeholders until richer synthesis is explicitly enabled. + +## Concepts +- [[security_workflow]] + +## Source-Backed Rules +- See linked source cards for evidence fields and chunk references. + +## Source Cards + +## Conflicts / Caveats +- not found in source + +## Review Status +review_required: false + +## Concepts +### ai_systems + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md + +# Ai Systems + +## Definition +not found in source + +## Where It Appears +- 97c5fbf34e51 +- 002ccfab2527 +- acadbfdba00e +- f626f8606ad9 +- 8b155cc3a516 +- 097cedc76508 +- e6f1aacab499 +- a7b18750d454 +- 7c517b2d7f39 +- 47f562389e99 +- 94241ec4bed1 +- 665379cac098 +- 64a0bd159466 +- f6aa57473d57 +- 5501b047b7bf +- 8d992ca1a53a +- 01d51b8ddd11 +- 70c39ad1988b +- 712349f4f061 +- b06a04a08527 +- 9bf49d051d59 +- 2cd1c8730d2c +- d31c0fa7fc22 +- 3951e9bce9a7 +- eeb7703ca50c +- e233eeafe31a +- 2fdfc1082594 +- 54b71ee99995 +- 2a64e6372d59 +- fa53a1f3a151 +- 902bb53fdd79 +- f5de5472c3c0 +- cc3fcbd9127a +- 58bc964cf72e +- b4909e0d22bb +- 06e822f5f136 +- ebbd3aabfdc5 +- 632bc5cf84a6 +- ef717d14de84 +- cbc81b90bb50 +- 39466d759b5a +- cd7e76f645ab +- 1d917a33ec0f +- 82c596818799 +- 02d44e99714a +- 4f8997ee8382 +- f190accecdf9 +- edbed5966c30 +- 590111c507a0 +- 7ac4b0ccf1ab +- 279508ae9087 +- 8dc49faab2fd +- b6013271d9c2 +- e23973f72f18 +- 0fc75c58d716 +- ec0cf17371a7 +- 9f00141f3083 +- a5b5ff7e2bc6 +- 1d9d14366b22 +- ac638295ccfe +- 9f1540c05011 +- 01a7d7e5f957 +- 37fca4b5cc83 +- 36441a0ec2a9 +- 9449db81922a +- e4de3f5fd5eb +- dbe936dbb277 +- e5811495284c +- 2568bd3afe63 +- 4676e5fc406f +- acb1fa9889d4 +- ba368b310971 +- cce49e7a3921 +- eaca5f701b35 +- d44791dedd68 +- dbf18765cdbb +- 63ed9ac2db2c +- fd5417f86b1f +- f5360ade927b +- 94777a31ad7c +- b1970f112faa +- 84664456eb12 +- f6b36b4f9098 +- 0a5845144d50 +- a191c67d1422 +- 8255faf11758 +- 366b7b144885 +- 8b2e485a7245 +- e3321a1f1d22 +- 81b03e6b3400 +- 1aac8f288c90 +- 07dded635426 +- 98fb401e80f7 +- c8b0b2172535 +- 6e795257aa3a +- 48f117a8a678 +- 24744f3c666f +- f285e435cd03 +- e0e0a673c090 +- d6cc85922a4a +- ab73c08ac842 +- 964a42690b53 +- 8aa5b73621c4 +- 3c25148c9533 +- a691103892ad +- 4c82990cad09 +- c1e5999b5ea9 +- 2514b6b1167b +- 039ae7b6765b +- 597b4abc5c91 +- 56752b68d948 + +## Evidence + +## Related Concepts +- not found in source + +## Review Status +review_required: false + +### finance_analytics + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/finance_analytics.md + +# Finance Analytics + +## Definition +not found in source + +## Where It Appears +- c4d9a90ad139 +- 341a4992be85 +- 17c0710bfebd +- abdcb5dc5d78 +- dcc2cb09801e +- d3ff43711639 +- 9274cd04e75c +- fe4a36f90820 +- 4156d7465edc +- 6e8bdf5c115f +- 2329aa2478a4 +- 08a478d9b588 +- 65a964c92095 +- bdbbb788b09a +- 5869f3fbae72 +- 8b872c296341 +- 156b7f4c8851 +- 628601981d7b +- 843f61ef5d8a +- 80edb9c2df7b + +## Evidence + +## Related Concepts +- not found in source + +## Review Status +review_required: false + +### general_knowledge + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/general_knowledge.md + +# General Knowledge + +## Definition +not found in source + +## Where It Appears +- 8bd25f49e2b1 +- a99acb33161c +- e674096e25d6 +- 8f1743de7ef4 +- a7bd17e792ae +- f6da3ce2f34b +- d03182f3b48b +- 233806bbc22b +- 252ce08af5f2 +- 6677760fdf14 +- faf973fd682f +- f2ce313fcbac +- 58ee17c5494a +- 855d843d1732 +- f36556cbf562 +- a622117c32eb +- 462cf1fe8a0d +- b5896ee5851e +- e5a52af40c70 +- 03fdf05923ba +- dc80d195e3f5 +- 33e44990acd7 +- 18eadb2cbf10 +- ef8bc8e439cf +- 19f1eb200611 +- fd2d45bb0cfe +- d7b05372118c +- d6635e2f04f4 +- 28f3d033d1fc +- 205904a12467 +- dcdc1b87c828 +- 327f81526d98 +- 46cdc78c69af +- d4aa21853a44 +- 991b78f3cb66 +- 678e288772ee +- 9c4e4be7087c +- 8b1894548ce0 +- b00646fd12f6 +- 3549d43e3de1 +- ae585732c644 +- abd78d54bbc2 +- bf41dd9292c1 +- 372dd1d36486 +- b1b531c64950 +- 9c11f7b969f2 +- 7ab93e1d11f6 +- 249631fdde27 +- 67326d3d3a36 +- 079e99b44ad4 +- 917028de5eb3 +- 162de9e9b09e +- cabe8b022f22 +- 18e7b33364e5 +- d93ac2977690 +- c55b6534653d +- 9ddcfa6c583f +- fa98a5a73314 +- bf4e694e7923 +- a7cd2a144139 +- 2cd53bb9009b +- cde291adf7e0 +- fcad08746192 +- 21a3b6d159ba +- 63e0f5bfd758 +- 6855a399b7a1 +- a16496b9b0d1 +- 71e059fdc87a +- 1ab3cfca4b54 +- d7313931bc8a +- de8cd41b42be +- 5a3604b62d2b +- ead625ef0597 +- 9cce85e9b601 +- 985e1ca4a8bf +- 07fdccb2e649 +- e782757e7776 +- 11a5947e430c +- 64d02db90f0f +- 16ce97efff45 +- 1a6109eb8bd7 +- 0235204a8edc +- 87ae6de77989 +- ca5fa8ff5bdb +- db648e382c0d +- 292698ab825e +- 0b6bc719aa17 +- 54be62f84a2a +- 8374412e18eb +- 2aa9b790dd93 +- 84cb797bbb24 +- 6131ba68a256 +- ea135e5d7ba6 +- 01e7a9aa049b +- 6383e056dbcb +- 423fd4687727 +- 3fe1e69aac0b +- 8fdbda424c0f +- e23a123338aa +- defc2c2bbd8f +- 2167d88e7b28 +- f92fa40d603a +- e687488788a3 +- bab3a2ebd816 +- 010057ac4ed1 +- e955aeab714e +- a337f5f20c6b +- a209de643f12 +- f73edece5552 +- 61b9443e7c3f +- 8e72291121c6 +- ab3beb49651e +- ce3f7412c074 +- 42f95d1fde52 +- 596f9db85892 +- b2bc68e24539 +- 917610091a79 +- 23b2bb9d51bc +- 07e05ae2c6cf +- c8823eb77c41 +- b3fb01addb70 +- 8babada0486d +- 12f5f5fd78b4 +- 500232e9fdf4 +- 6bef663f3da0 +- 5230e12a162c +- 576536aea528 +- 013153410460 +- 6fa35d992f1a +- c3eb1f147d81 +- aebbfb957044 +- c9f2ad11f7a3 +- 445c8146740b +- a802459c772c +- 8cfeaeb7d2bc +- a0e82467ec70 +- 4a92c1bf3467 +- 066319c30340 +- 98e2679fe708 +- 70e04c8ede13 +- b26743a2cd02 +- 55d1029a44a6 +- 9c2847b682c9 +- 3036b0bfee5a +- 2b3eaf757caf +- b382abfb2fb1 +- 29c2a381a26c +- c5ee81b6203d +- 0ff1b13b9ffa +- 72cdbd98fd86 +- 29732876f890 +- 223e3762e3ea +- fdeae6fbc14f +- d7156fd0453c +- 39c554b0db89 +- 7f80fa85bc09 +- 2a303a7eea3c +- 34e7699387aa +- f35e19a30878 +- 23b36f7b46ef +- 440198d9e701 +- f482ea289de7 +- f81806894f04 +- 9a8c2c027b91 +- 3427f4f32843 +- ec3fe3c52d3a +- bc7524b4b500 +- d68c7e17457b +- dc62b54c1736 +- 29355511d6e6 +- 43a127fe7f68 +- 4648229aced7 +- d2a2f76027de +- dcd5ff830c09 +- 6928276ccc75 +- 3f8ac3d990d2 +- 106455adc44e +- 8678909960d2 +- 999f4a87cc93 +- fb04f7f38c41 +- 3b0a7ae4d3f7 +- d472b9dbe72a +- 7ea720c882b7 +- 1797ff4aba2f +- 9b5d55bf0c7d +- 71f93d41fe9d +- a2c848152155 +- 7710249c03dd +- f824bf6b1e33 +- f7d525730b97 +- ce75e2729317 +- 08487a9bb796 +- ceacfed72908 +- d0be087a46bf +- c0590d4c7719 +- 8c168b8f354c +- a688c95759fa +- 69b334c024e8 +- fbca6860f502 +- 6d3f1535b610 +- 1b55b74e10a7 +- 0289a622670f +- 047131d56e3f +- ba8f38829c4c +- 3aab3b710e61 + +## Evidence + +## Related Concepts +- not found in source + +## Review Status +review_required: false + +### knowledge_organization + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/knowledge_organization.md + +# Knowledge Organization + +## Definition +not found in source + +## Where It Appears +- b88f36d67970 +- e0ad1fb13074 +- 1da5f9a6d218 +- a36b311ab26f +- dd348eff9696 +- 31c7d8979d66 +- 6d48032acdc2 +- 64f4f9df6dd6 +- 027119cd3ec7 +- c154fcd4ae7d +- eaf6efc00b3c +- 249e4828d393 +- d45f94d7afe9 +- ae1516e432fe +- a1af6ee2f9f6 +- c29cd3aad41a +- b099231d30b7 +- b0ec8de38c39 +- 8a6e91fa1ac4 +- e921fe85eab4 +- 0084501c4c44 +- 3bd998124969 +- 0937003ca29f +- 3926ee9efdc4 +- 2bc919693089 +- c364634ca52f + +## Evidence + +## Related Concepts +- not found in source + +## Review Status +review_required: false + +### power_bi + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/power_bi.md + +# Power Bi + +## Definition +not found in source + +## Where It Appears +- 64f41584e95f +- 755182e783ce +- 45eaf4cf3320 +- 612729b59057 +- 42485e06aeab +- d64b158d2836 +- dcd378e34160 +- 645926462488 +- e70857408145 +- b487d844f456 +- 3856ddacffbb +- 97d4d5876d0d +- 23c07242ffea +- dcd4f8b3b6db +- b2dc8e09e1f7 +- 9a11d93a4d61 +- 404d3c0e9a5d +- 8af94d1fd3ef + +## Evidence + +## Related Concepts +- not found in source + +## Review Status +review_required: false + +### security_workflow + +source_path: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/security_workflow.md + +# Security Workflow + +## Definition +not found in source + +## Where It Appears +- ad823fa1bb00 +- 094f121cf2f4 +- 20de2eb10929 +- 4bb2a2703486 +- e727f0e1a0a5 +- 928f5b4b6f02 +- ca0cf050746b +- 0aaa88ac375b +- 7b406d423d6c +- 54bc325b5791 +- 1a4aedeafc61 +- 1a2ef33722e9 +- cfb7c28d881e +- 16448a566572 +- c893329a0f0d +- 8b3f83811d2a +- ccd3931ec9a9 +- 145a07b7d3c5 + +## Evidence + +## Related Concepts +- not found in source + +## Review Status +review_required: false + + + +# QA Notes + +## Final Verdict +- automated_check_required + + + +# Markdown KB Package + +- `full_kb.md` +- `sources_index.csv` +- `concepts_index.csv` diff --git a/publish/chatgpt_project_compact_general/KB__03_WORKFLOWS_TRACEABILITY.md b/publish/chatgpt_project_compact_general/KB__03_WORKFLOWS_TRACEABILITY.md new file mode 100644 index 0000000..938cbcb --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__03_WORKFLOWS_TRACEABILITY.md @@ -0,0 +1,205 @@ +# Workflows and Traceability + +## Canonical managed pipeline +```text +transcript -> chunk -> source card -> concept / workflow / pattern extraction -> grounded synthesis -> publish package -> compact package -> automated smoke QA -> automated acceptance check -> next scope decision -> use-case routing +``` + +## Traceability chain +Every canonical concept must remain traceable through: + +```text +concept -> workflow -> evidence -> source card -> transcript/chunk +``` + +## Acceptance / Promotion Gates +1. Publish gate — publish package is built successfully. +2. Boundary gate — publish package excludes `.txt`, raw chunks, temp files, logs, and source-card paths. +3. Preservation gate — helper/navigation files are preserved. +4. Consumer QA gate — smoke questions are answered with grounded answers. +5. Acceptance gate — pass/fail, residual risks, known gaps, and next scope are recorded. +6. Promotion gate — embeddings, semantic search, vector DB, web UI, and agentic automation remain blocked until acceptance passes. + +## Promotion control +- Any `unsupported` item blocks promotion. +- `weak` items are allowed only when listed in `KB__REVIEW_QUEUE.md`. +- Weak or unsupported items must not be promoted as canonical facts or operational framework evidence. + + + +# Workflow Map + +## Purpose + +Use this file when a user asks for a process, pipeline, checklist, QA path, upload path, or next-step sequence. MVP-9.2 QA marked workflow extraction as weak, so workflow answers should start here before using `AI_KB_Context_File_v1.0.md`. + +## Workflow Inventory + +| Workflow | Trigger | Inputs | Ordered steps | Outputs | QA / gate | Evidence | +|---|---|---|---|---|---|---| +| Source-to-KB build | Source material has already been inventoried and source cards / knowledge files exist. | Source cards, topic files, concept files, indexes. | Read indexes; use topic pages for subject coverage; use concept pages for concept coverage; preserve source-card references; avoid rewriting raw inputs. | Workspace knowledge files and publish-ready inputs. | Judge readiness must be `ready` before normal publish. | `AI_KB_Context_File_v1.0.md`, `sources_index.csv`, `concepts_index.csv` | +| Full publish | Current KB package needs reproducible user-facing outputs. | Workspace knowledge files, indexes, source cards, `publish_assets/`. | Generate ChatGPT Project context; generate Obsidian output; generate markdown KB; copy publish assets; reject `.txt` publish assets. | `publish/chatgpt_project/`, `publish/obsidian/`, `publish/markdown_kb/`. | `python3 scripts/run_publish.py --mode all`; pytest; boundary checks. | `src/notes_to_kb/publish.py`, `PLAN.md`, `TASKS.md` | +| ChatGPT Project upload | User wants conversational access to the KB. | `AI_KB_Context_File_v1.0.md`, `INDEX.md`, `CONCEPT_MAP.md`, `WORKFLOW_MAP.md`, `TRACEABILITY_GUIDE.md`, `KB_USAGE_GUIDE.md`, `SMOKE_QUESTIONS.md`. | Upload files; start with `INDEX.md`; ask smoke questions; require evidence and limitations; record weak areas. | Manual or model-assisted consumer QA evidence. | Answers must route through helper files and cite package evidence. | `INDEX.md`, `KB_USAGE_GUIDE.md`, `SMOKE_QUESTIONS.md` | +| Consumer QA | Publish package needs usability verification. | Smoke questions, current ChatGPT Project package, prior QA findings. | Ask navigation questions; test concept depth; test workflow extraction; test traceability; test gaps; test next-scope reasoning. | QA verdict and recommended next scope. | Do not proceed to MVP-10 unless verdict supports readiness. | `OLLAMA_QA_RERUN_MVP_9_2.md`, `QA_COMPARISON_MVP_9_2.md` | +| Structure revision pass | QA says concept depth, workflow extraction, or traceability is weak. | QA evidence, current helper files, publish assets, package indexes. | Inspect evidence; revise helper files in `publish_assets/chatgpt_project/`; run full publish; verify copied files; add deterministic tests; record acceptance. | Improved helper files in source assets and publish output. | Full publish, pytest, no `.txt`, no forbidden artifacts. | `SPEC.md`, `PLAN.md`, `TASKS.md`, `ACCEPTANCE_CRITERIA.md` | +| Acceptance check | A stage needs closure. | Changed files, command output, test result, acceptance criteria. | Map each criterion to evidence; record pass/fail; list residual risks; record next status. | `publish/ACCEPTANCE_CHECK_MVP_9_3.md` for this pass. | Status can be `ready_for_mvp_9_4` only after MVP-9.3 checks pass. | `ACCEPTANCE_CRITERIA.md` | + +## Canonical Pipeline + +```text +source material +-> source cards +-> topic/concept knowledge files +-> AI_KB_Context_File_v1.0.md +-> publish package +-> ChatGPT Project upload +-> consumer QA +-> acceptance check +-> next scope +``` + +## Workflow Extraction Rules + +When answering workflow questions: + +1. identify the workflow name from `Workflow Inventory`; +2. state the trigger; +3. list required inputs; +4. give ordered steps only from package evidence; +5. name expected outputs; +6. name QA gates and acceptance files; +7. state where evidence is weak; +8. separate package facts from recommendations. + +## QA Gate Map + +| Gate | Required evidence | Failure mode | +|---|---|---| +| Publish gate | `scripts/run_publish.py --mode all` exits successfully. | Helper files are not copied or generated package is incomplete. | +| Preservation gate | Helper files exist in both `publish_assets/chatgpt_project/` and `publish/chatgpt_project/`. | Full publish overwrites or omits navigation assets. | +| Consumer QA gate | Smoke questions test navigation, concept depth, workflows, traceability, gaps, and next scope. | Answers remain generic or unsupported. | +| Boundary gate | No `.txt` files and no forbidden artifacts in `publish/`. | Raw transcripts or premature infrastructure leak into output. | +| Acceptance gate | Acceptance artifact records status and residual risks. | Stage is treated as complete without evidence. | + +## Bad Workflow Answer Signals + +- generic workflow with no package-specific files; +- no trigger, inputs, outputs, or QA gate; +- no mention of source cards or indexes for traceability-sensitive steps; +- treats QA recommendations as source facts; +- recommends embeddings, vector DB, search CLI, web UI, scheduler, Mode B, or Mode C before QA supports it. + +## MVP-9.2 Weaknesses Covered + +- Workflow questions Q-007 through Q-009 failed in MVP-9.2 QA. +- This file adds named workflows, trigger/input/output structure, and explicit QA gates. +- This file does not add new automation or change publish logic. + + + +# Traceability Guide + +## Purpose + +Use this file when a question asks what evidence supports a claim, whether a claim is grounded, or what confidence level should be attached to an answer. MVP-9.2 QA marked source traceability as partial, so evidence-sensitive answers should use this file before making recommendations. + +## Traceability Sources + +| File | Role | Best use | +|---|---|---| +| `AI_KB_Context_File_v1.0.md` | Main package context with publish metadata, knowledge index, topic pages, concept pages, and source-card references. | Start here for source-backed answers. | +| `sources_index.csv` | Source inventory with source IDs, titles, source-card paths, clean-note paths, chunk manifests, and review flags. | Verify whether a source ID or source title exists. | +| `concepts_index.csv` | Concept inventory with concept IDs, concept paths, source counts, and review flags. | Verify concept coverage and source count. | +| `CONCEPT_MAP.md` | Consumer-facing concept routing and limitations. | Explain concept evidence and concept gaps. | +| `WORKFLOW_MAP.md` | Workflow routing with triggers, inputs, outputs, and gates. | Explain process evidence and QA steps. | +| `INDEX.md` | ChatGPT Project file routing. | Decide which uploaded file should support an answer. | +| `KB_USAGE_GUIDE.md` | Prompt patterns and answer-quality rules. | Ask traceability-safe questions. | +| `SMOKE_QUESTIONS.md` | Consumer QA question list. | Test whether traceability improved. | +| `OLLAMA_QA_RERUN_MVP_9_2.md` | Latest inspected consumer QA evidence before MVP-9.3. | Support claims about known weak areas. | +| `QA_COMPARISON_MVP_9_2.md` | Before/after comparison after MVP-9. | Support the decision to do MVP-9.3. | +| `ACCEPTANCE_CHECK_MVP_9_2.md` | Accepted gate for `ready_for_mvp_9_3`. | Support the current stage status. | + +## Evidence Matrix + +| Claim type | Strong evidence | Medium evidence | Weak / unsupported signal | +|---|---|---|---| +| A source exists | Row in `sources_index.csv` plus source-card reference in main KB. | One package file names the source ID. | Source name is inferred but not found in package. | +| A concept exists | Row in `concepts_index.csv` plus concept page in main KB. | Only `CONCEPT_MAP.md` names it as a package concept. | The answer invents a concept not present in package files. | +| A workflow exists | `WORKFLOW_MAP.md` plus related package files or acceptance criteria. | Workflow appears in one QA or planning artifact. | Generic process with no file names or gates. | +| A QA weakness exists | `OLLAMA_QA_RERUN_MVP_9_2.md` plus `QA_COMPARISON_MVP_9_2.md`. | One QA artifact states the weakness. | Weakness inferred without QA evidence. | +| MVP-9.3 is next | `ACCEPTANCE_CHECK_MVP_9_2.md` plus comparison report. | One decision artifact states it. | Recommendation conflicts with accepted status. | +| MVP-10 is ready | Future MVP-9.4 verdict `ready_for_mvp_10`. | Not available during MVP-9.3. | Unsupported before MVP-9.4 acceptance. | + +## Source Traceability Levels + +| Level | Meaning | Required wording | +|---|---|---| +| strong | Supported by the main KB plus an index, source card, acceptance artifact, or QA comparison. | "Strong: supported by ..." | +| medium | Supported by one package file or one QA/decision artifact. | "Medium: supported by ..., but not independently confirmed." | +| weak | Inferred from QA findings, comparison notes, or helper-file routing. | "Weak: recommendation/risk, not a source fact." | +| unsupported | Not found in uploaded package files. | "Unsupported by the uploaded KB." | + +## Required Response Pattern + +For traceability-sensitive answers: + +```markdown +## Answer +... + +## Evidence Used +- file: ... +- section or row: ... + +## Limitations +- ... + +## Confidence +strong / medium / weak / unsupported +``` + +## Answer Grounding Rules + +- Name package files, not vague "sources". +- Treat `sources_index.csv` and source-card references as source identity evidence. +- Treat `concepts_index.csv` as concept coverage evidence, not as a definition source. +- Treat QA reports as evidence about package quality, not source truth. +- Do not invent source titles, source IDs, metrics, or validation results. +- If a concept page says `not found in source`, state that limitation. +- If the uploaded package lacks evidence, say so directly. + +## MVP-9.2 Weaknesses Covered + +- Source traceability questions Q-010 through Q-012 were partial in MVP-9.2 QA. +- This file adds confidence levels, evidence roles, and a required answer pattern. +- This file does not change the source of truth; it only makes evidence routing explicit. + + + +## Publish Metadata +- generation_mode: chatgpt_project +- generated_timestamp: 1970-01-01T00:00:00+00:00 +- judge_readiness: needs_review +- source_index_reference: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/sources_index.csv +- input_artifact_paths: + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/INDEX.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/sources_index.csv + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/concepts_index.csv + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/AI_Systems.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Finance_Analytics.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/General_Knowledge.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Knowledge_Organization.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Power_BI.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/topics/Security.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/finance_analytics.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/general_knowledge.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/knowledge_organization.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/power_bi.md + - /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/security_workflow.md + +## Knowledge Index +# Knowledge Index + +## Source Traceability +- sources_index: /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/indexes/sources_index.csv diff --git a/publish/chatgpt_project_compact_general/KB__04_SMOKE_QA.md b/publish/chatgpt_project_compact_general/KB__04_SMOKE_QA.md new file mode 100644 index 0000000..0058cba --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__04_SMOKE_QA.md @@ -0,0 +1,108 @@ +# Smoke QA + + + +# ChatGPT Project Smoke Questions + +## 1. Navigation + +1. Какие файлы загружены в этот Project и для чего каждый нужен? +2. Какой файл использовать для concept lookup? +3. Какой файл использовать для workflow extraction? +4. Какой файл использовать для проверки sources, evidence и confidence? + +## 2. Concept Depth + +5. Какие основные концепции есть в базе? +6. Объясни разницу между source card, KB file, publish package и ChatGPT Project package. +7. Какие концепции центральны для построения reusable knowledge base? +8. Какие концепции связаны с ChatGPT Project или использованием опубликованного package? +9. Как связаны Knowledge Base, Source Card, Publish Package, Consumer QA и Acceptance Check? +10. Какой concept нужно проверить перед добавлением embeddings, search CLI или web UI? +11. Какие indexed concepts имеют прямую coverage evidence в `concepts_index.csv`, а какие package concepts нужны только для навигации? +12. Какие limitations нужно назвать, если concept page содержит `not found in source`? + +## 3. Workflow Extraction + +13. Дай end-to-end workflow от source material до accepted publish package. +14. Какие шаги нужны для публикации базы? +15. Какие QA gates существуют между publish и MVP-10? +16. Какой workflow использовать, если QA verdict равен `revise_structure_again`? +17. Опиши workflow ChatGPT Project upload and smoke test. +18. Опиши workflow acceptance check: inputs, steps, outputs и risks. +19. Какие failure modes есть у full publish preservation gate? +20. Какие outputs должен создать MVP-9.3 Structure Revision Pass 2? + +## 4. Source Traceability + +21. Какие package files support the decision to do MVP-9.3? +22. What evidence says MVP-10 is not ready yet? +23. Which claims are strong, medium, weak, or unsupported based on available package files? +24. Какие утверждения в ответе подтверждены source cards или индексами? +25. Где есть single-source claims или weak evidence? +26. Какие limitations источников или QA указаны в package? +27. Как отличить source fact от QA recommendation? +28. Какой confidence level у утверждения "MVP-10 ready now" до MVP-9.4 verdict? + +## 5. Gap Detection + +29. Какие слабые места у текущей базы знаний? +30. Что нужно улучшить перед embeddings или semantic search? +31. Какие gaps блокируют web UI или более сложную автоматизацию? +32. Какие признаки покажут, что structure revision still failed? + +## 6. Next Scope + +33. Какой следующий MVP рекомендован и почему? +34. Почему сейчас не нужно делать embeddings? +35. Когда будет уместен Mode B или incremental publish? +36. Что выбрать, если навигация всё ещё слабая после ручного QA? +37. Что выбрать, если база полезна, но поиск по файлам медленный? +38. Какие условия должны быть выполнены перед MVP-10 Lightweight Search CLI? + +## Automated smoke test sequence +1. Upload all compact package files into ChatGPT Project. +2. Ask the first smoke question from the source list. +3. Confirm the answer cites or names the retrieved compact KB section. +4. Repeat with one navigation question, one workflow question, and one traceability question. +5. Record pass or fail for each answer in deterministic QA output before acceptance. +6. Do not treat smoke QA as final acceptance. + +## Pass/fail checklist +- [ ] Answer is grounded in uploaded compact KB files. +- [ ] Answer identifies the relevant compact file or section. +- [ ] Answer uses confidence labels: strong, medium, weak, or unsupported. +- [ ] Answer preserves traceability to evidence. +- [ ] Answer lists unsupported claims instead of promoting them. +- [ ] Answer does not cite raw transcripts, source cards, clean notes, chunks, temp files, or logs. +- [ ] Answer separates facts from assumptions when the KB is incomplete. +- [ ] Answer reports uncertainty instead of inventing missing details. + +## Automated acceptance checklist +- acceptance_status: pass/fail +- residual_risks: required +- blocked_promotions: required +- unresolved_reviews: required +- next_scope: required +- production_ready: yes/no + +## Retrieval QA output schema +- question +- expected_source +- actual_source +- retrieval_status +- grounding_status +- confidence_status +- unsupported_claims +- final_verdict + +## Reporting retrieved chunks back to ChatGPT +When checking an answer, paste the compact file name, section heading, and the retrieved excerpt. Use this format: + +```text +file: KB__02_CONTENT.md +section: +retrieved excerpt: +question: +issue: +``` diff --git a/publish/chatgpt_project_compact_general/KB__05_CANONICAL_CONCEPTS.md b/publish/chatgpt_project_compact_general/KB__05_CANONICAL_CONCEPTS.md new file mode 100644 index 0000000..239764e --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__05_CANONICAL_CONCEPTS.md @@ -0,0 +1,2388 @@ +# Canonical Concepts + +## Concept: AI Systems + +### Definition +In this KB, `AI Systems` is represented by source-backed notes around: Digital decluttering and starting again can be a solution for overwhelmed systems. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Digital decluttering and starting again can be a solution for overwhelmed systems. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `AI Systems` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Digital decluttering and starting again can be a solution for overwhelmed systems. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Authorization Middleware: Implementing granular access controls and integrating with existing authorization systems. +- source: 249e4828d393 / 249e4828d393.source_card.md — The PARA method's hierarchical structure might not be ideal for all digital systems; flexibility is key. +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — AI Code Review Systems (Reptile): Системы для автоматической проверки кода (pull requests), помогающие разработчикам-одиночкам. +- source: 327f81526d98 / 327f81526d98.source_card.md — not found in source +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Store implementation plans and design systems within the project folder for easy access. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Core Four: Foundational concepts in agentic systems, implying that abstractions often boil down to prompts that run within an agent's context model. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Basic RAG systems and vector databases can fall short due to incomplete datasets and reliance on partial information. chunk_001 +- source: 678e288772ee / 678e288772ee.source_card.md — Monitoring equipment condition using sensors and diagnostic systems. chunk_001 +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic coding and the use of AI tools like Claude, Code, and Opus for building AI systems. +- source: b0ec8de38c39 / b0ec8de38c39.source_card.md — Не найдено подробностей о настройке "Goal Setting Templates and Systems". +- source: c3eb1f147d81 / c3eb1f147d81.source_card.md — Создание персональной системы управления знаниями (PKM) и самообучающейся системы с использованием AI. +- source: 327f81526d98 / 327f81526d98.clean.md — PARA: Метафора кухни для объяснения четырех основных частей системы. +- source: 64d02db90f0f / 64d02db90f0f.clean.md — LLMs as Operating Systems: LLMs orchestrate memory (context windows) and compute, similar to OS functions. +- source: c3eb1f147d81 / c3eb1f147d81.clean.md — not found in source +- source: e0e0a673c090 / e0e0a673c090.clean.md — Agent-Native Infrastructure: Future systems designed for agents, with sensors and actuators replacing traditional human-centric interfaces. +- source: full_kb / full_kb.md — [[ai_systems]] +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- confidence: strong + +## Concept: Knowledge Organization + +### Definition +In this KB, `Knowledge Organization` is represented by source-backed notes around: Building a Second Brain: A Public Notebook for Knowledge Management + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Building a Second Brain: A Public Notebook for Knowledge Management + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Knowledge Organization` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 249e4828d393 / 249e4828d393.source_card.md — Keep organization simple using tags and backlinks. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Actionability: Organization should facilitate task completion, not just create an illusion of order. (chunk_001) +- source: 106455adc44e / 106455adc44e.source_card.md — LLM Knowledge Base / LLM Wiki: Подход к созданию базы знаний, где LLM обрабатывает исходные данные и создает структурированные вики-страницы. (chunk_001) +- source: 205904a12467 / 205904a12467.source_card.md — Inconsistency in weekly planning leads to disorganization and loss of focus. (clean_note, chunk_001, chunk_002) +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — Информация о Knowledge-Segmented Generation (KSG) и его сравнение с GraphRAG. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — do not promote this source as supported knowledge until it is reviewed (chunk_001) +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Incorporating Specialized Knowledge: Use external services or specialized roles within BrainTrust for annotations in industries requiring specific expertise. +- source: 327f81526d98 / 327f81526d98.source_card.md — not found in source +- source: 47f562389e99 / 47f562389e99.source_card.md — База знаний (Knowledge Base): Структурированное хранилище информации, используемое AI-агентом. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Retrieval-Augmented Generation (RAG): A technique that augments LLM input with relevant information retrieved from a knowledge base to improve response quality. chunk_001 +- source: 6e8bdf5c115f / 6e8bdf5c115f.source_card.md — Implement corrective actions promptly to align budgetary performance with organizational goals (chunk_001). +- source: 81b03e6b3400 / 81b03e6b3400.source_card.md — Obsidian Knowledge Graph: Система управления знаниями, позволяющая AI-агентам быстро находить и использовать контент. (chunk_001, chunk_002) +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Zero-Knowledge Architecture: A security model where the service provider has no knowledge of the user's data. +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Adding New Commands to a Knowledge Base Project: +- source: a209de643f12 / a209de643f12.source_card.md — KEG (Knowledge Augmented Generation) — это фреймворк для логического рассуждения и ответов на вопросы в профессиональных предметных областях, который превосходит RAG и GraphRAG. +- source: a2c848152155 / a2c848152155.source_card.md — Execution vs. Intelligence: Intelligence helps in understanding, but execution is what transforms ideas into income and knowledge into results. , +- source: ac638295ccfe / ac638295ccfe.source_card.md — База знаний (Knowledge Base): Представление домена знаний, которое агенты могут использовать для получения информации. +- source: b0ec8de38c39 / b0ec8de38c39.source_card.md — Не найдено конкретных примеров использования "knowledge management system" и "goal tracking setup" в контексте "Life Areas". +- confidence: strong + +## Concept: Source Card + +### Definition +In this KB, `Source Card` is represented by source-backed notes around: not found in source + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- not found in source + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Source Card` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 002ccfab2527 / 002ccfab2527.source_card.md — not found in source +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Resources: A curated library of useful materials, inspiration, research, and learning artifacts that can be referenced or recombined. (chunk_001) +- source: 010057ac4ed1 / 010057ac4ed1.source_card.md — Установка и основы использования Codex CLI. +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Поддержка агентских навыков в Codex. +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 0235204a8edc / 0235204a8edc.source_card.md — not found in source +- source: 027119cd3ec7 / 027119cd3ec7.source_card.md — not found in source +- source: 0289a622670f / 0289a622670f.source_card.md — not found in source +- source: 02d44e99714a / 02d44e99714a.source_card.md — Введение в использование Codex в Visual Studio Code для разработки программного обеспечения. +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- source: 047131d56e3f / 047131d56e3f.source_card.md — not found in source +- source: 066319c30340 / 066319c30340.source_card.md — not found in source +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Defining a Workflow: Clearly define the trigger, data, sources, action steps, and output for Agent Mode. chunk_002 +- source: 079e99b44ad4 / 079e99b44ad4.source_card.md — RAGAS — это фреймворк для оценки RAG-приложений, фокусирующийся на качестве извлечения информации и генерации ответов. +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 07e05ae2c6cf / 07e05ae2c6cf.source_card.md — Автономная работа Claude Code в течение длительного времени с использованием стоп-хуков. +- source: 07fdccb2e649 / 07fdccb2e649.source_card.md — not found in source +- confidence: strong + +## Concept: ChatGPT Project Package + +### Definition +In this KB, `ChatGPT Project Package` is represented by source-backed notes around: Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `ChatGPT Project Package` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. +- source: 42f95d1fde52 / 42f95d1fde52.source_card.md — Интеграция Custom GPT и ChatGPT Projects для оптимизации рабочих процессов, улучшения организации и повышения продуктивности при работе с исследовательскими проектами. +- source: 7f80fa85bc09 / 7f80fa85bc09.source_card.md — Проекты в ChatGPT +- source: ba368b310971 / ba368b310971.source_card.md — AI Copilots: ИИ-помощники, предназначенные для поддержки продакт-менеджеров в различных задачах. Примеры включают высококонтекстные LLM (например, Claude Projects), десктопные контекстные ассистенты (например, Clue.ly) и соло-контекстные LLM (например, Notebook LLM). +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Docker Image: A lightweight, standalone, executable package that includes everything needed to run a piece of software, including the code, runtime, system tools, system libraries, and settings. chunk_007 +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Cloud Code: A platform for defining project structure and rules, enabling AI to implement functions within specified constraints. It allows for programmable context engineering. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.clean.md — Break large projects into smaller parts (e.g., outline first, then draft sections). +- source: 42f95d1fde52 / 42f95d1fde52.clean.md — ChatGPT Projects: Центральное место для хранения и организации исследовательских материалов. +- source: 7f80fa85bc09 / 7f80fa85bc09.clean.md — Контекстные знания: информация, загруженная в проект, которая используется ChatGPT для улучшения ответов. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- source: CONCEPT_MAP / CONCEPT_MAP.md — Source file references this area: CONCEPT_MAP.md +- source: INDEX / INDEX.md — Source file references this area: INDEX.md +- source: KB_USAGE_GUIDE / KB_USAGE_GUIDE.md — Source file references this area: KB_USAGE_GUIDE.md +- source: README / README.md — Source file references this area: README.md +- source: SMOKE_QUESTIONS / SMOKE_QUESTIONS.md — Source file references this area: SMOKE_QUESTIONS.md +- source: TRACEABILITY_GUIDE / TRACEABILITY_GUIDE.md — Source file references this area: TRACEABILITY_GUIDE.md +- source: WORKFLOW_MAP / WORKFLOW_MAP.md — Source file references this area: WORKFLOW_MAP.md +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Closure: Decisively closing projects to prevent unfinished work from cluttering attention and to keep the system lightweight. (chunk_001) +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 02d44e99714a / 02d44e99714a.source_card.md — ChatGPT Plus: Необходимое условие для использования Codex, предоставляющее доступ к модели и определенному количеству токенов. +- confidence: strong + +## Concept: Publish Package + +### Definition +In this KB, `Publish Package` is represented by source-backed notes around: PIV Loop (Plan, Implement, Validate): A workflow methodology that can be packaged into Archon. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- PIV Loop (Plan, Implement, Validate): A workflow methodology that can be packaged into Archon. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Publish Package` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 07dded635426 / 07dded635426.source_card.md — PIV Loop (Plan, Implement, Validate): A workflow methodology that can be packaged into Archon. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Plugins: Bundles of related skills and connectors that provide pre-packaged functionalities. +- source: 590111c507a0 / 590111c507a0.source_card.md — Version Control: The Agent Builder automatically includes version control for published workflows. chunk_002 +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Docker Image: A lightweight, standalone, executable package that includes everything needed to run a piece of software, including the code, runtime, system tools, system libraries, and settings. chunk_007 +- source: ead625ef0597 / ead625ef0597.source_card.md — Workflow: A structured process for organizing, storing, and publishing research reports. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — LLMs can be "dumb" and may miss details, insert incorrect packages/versions, or ignore previous patterns as context increases. +- source: QA_NOTES / QA_NOTES.md — Source file references this area: QA_NOTES.md +- source: README / README.md — Source file references this area: README.md +- source: concepts_index / concepts_index.csv — Source file references this area: concepts_index.csv +- source: full_kb / full_kb.md — [[ai_systems]] +- source: sources_index / sources_index.csv — Source file references this area: sources_index.csv +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- source: CONCEPT_MAP / CONCEPT_MAP.md — Source file references this area: CONCEPT_MAP.md +- source: INDEX / INDEX.md — Source file references this area: INDEX.md +- source: KB_USAGE_GUIDE / KB_USAGE_GUIDE.md — Source file references this area: KB_USAGE_GUIDE.md +- source: README / README.md — Source file references this area: README.md +- source: SMOKE_QUESTIONS / SMOKE_QUESTIONS.md — Source file references this area: SMOKE_QUESTIONS.md +- source: TRACEABILITY_GUIDE / TRACEABILITY_GUIDE.md — Source file references this area: TRACEABILITY_GUIDE.md +- source: WORKFLOW_MAP / WORKFLOW_MAP.md — Source file references this area: WORKFLOW_MAP.md +- confidence: strong + +## Concept: Consumer QA + +### Definition +In this KB, `Consumer QA` is represented by source-backed notes around: Создание AI-хомлаба с двумя NVIDIA 3090 GPU как бюджетная альтернатива более дорогим решениям. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: medium. + +### Source-backed facts +- Создание AI-хомлаба с двумя NVIDIA 3090 GPU как бюджетная альтернатива более дорогим решениям. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Consumer QA` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 8b155cc3a516 / 8b155cc3a516.source_card.md — Создание AI-хомлаба с двумя NVIDIA 3090 GPU как бюджетная альтернатива более дорогим решениям. +- source: 8b155cc3a516 / 8b155cc3a516.clean.md — AI-хомлаб: система для обучения и инференса моделей искусственного интеллекта. +- confidence: medium + +## Concept: Traceability + +### Definition +In this KB, `Traceability` is represented by source-backed notes around: Source file references this area: TRACEABILITY_GUIDE.md + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: weak. + +### Source-backed facts +- Source file references this area: TRACEABILITY_GUIDE.md + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Traceability` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: TRACEABILITY_GUIDE / TRACEABILITY_GUIDE.md — Source file references this area: TRACEABILITY_GUIDE.md +- confidence: weak + +## Concept: Workflow Extraction + +### Definition +In this KB, `Workflow Extraction` is represented by source-backed notes around: Entity Extraction: The process of identifying entities and their relationships from text, often using LLMs, to build a knowledge graph. chunk_002 + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Entity Extraction: The process of identifying entities and their relationships from text, often using LLMs, to build a knowledge graph. chunk_002 + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Workflow Extraction` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Entity Extraction: The process of identifying entities and their relationships from text, often using LLMs, to build a knowledge graph. chunk_002 +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture Workflow: +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Ускорение разработки приложений с помощью AI-инструментов и автоматизации. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 2aa9b790dd93 / 2aa9b790dd93.source_card.md — Сравнение Kestra и Apache Airflow как инструментов для оркестровки workflow, их подходов, применения и подходящих сценариев использования. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.source_card.md — Использование ChatGPT как AI-партнера для ускорения процесса написания, включая планирование, drafting, ревизию и упаковку. +- source: 42f95d1fde52 / 42f95d1fde52.source_card.md — Интеграция Custom GPT и ChatGPT Projects для оптимизации рабочих процессов, улучшения организации и повышения продуктивности при работе с исследовательскими проектами. +- source: 445c8146740b / 445c8146740b.source_card.md — Фреймворк CTC (Context-Task-Constraints) для улучшения взаимодействия с AI. +- source: 5230e12a162c / 5230e12a162c.source_card.md — When building agentic workflows, ensure each component (prompts, sub-agents, skills) can validate its work. +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Procedures / Workflow (в явном виде не описаны, только примеры использования) +- source: 6928276ccc75 / 6928276ccc75.source_card.md — Субагенты могут усложнить workflow при необоснованном создании. +- confidence: strong + +## Concept: Knowledge Distillation + +### Definition +In this KB, `Knowledge Distillation` is represented by source-backed notes around: Building a Second Brain: A Public Notebook for Knowledge Management + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Building a Second Brain: A Public Notebook for Knowledge Management + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Knowledge Distillation` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 106455adc44e / 106455adc44e.source_card.md — LLM Knowledge Base / LLM Wiki: Подход к созданию базы знаний, где LLM обрабатывает исходные данные и создает структурированные вики-страницы. (chunk_001) +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — Информация о Knowledge-Segmented Generation (KSG) и его сравнение с GraphRAG. +- source: 249e4828d393 / 249e4828d393.source_card.md — Reference material can be stored in file storage, note-taking apps, or knowledge bases. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — do not promote this source as supported knowledge until it is reviewed (chunk_001) +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Incorporating Specialized Knowledge: Use external services or specialized roles within BrainTrust for annotations in industries requiring specific expertise. +- source: 47f562389e99 / 47f562389e99.source_card.md — База знаний (Knowledge Base): Структурированное хранилище информации, используемое AI-агентом. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Retrieval-Augmented Generation (RAG): A technique that augments LLM input with relevant information retrieved from a knowledge base to improve response quality. chunk_001 +- source: 81b03e6b3400 / 81b03e6b3400.source_card.md — Obsidian Knowledge Graph: Система управления знаниями, позволяющая AI-агентам быстро находить и использовать контент. (chunk_001, chunk_002) +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Zero-Knowledge Architecture: A security model where the service provider has no knowledge of the user's data. +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Adding New Commands to a Knowledge Base Project: +- source: a209de643f12 / a209de643f12.source_card.md — KEG (Knowledge Augmented Generation) — это фреймворк для логического рассуждения и ответов на вопросы в профессиональных предметных областях, который превосходит RAG и GraphRAG. +- source: a2c848152155 / a2c848152155.source_card.md — Execution vs. Intelligence: Intelligence helps in understanding, but execution is what transforms ideas into income and knowledge into results. , +- source: ac638295ccfe / ac638295ccfe.source_card.md — База знаний (Knowledge Base): Представление домена знаний, которое агенты могут использовать для получения информации. +- source: b0ec8de38c39 / b0ec8de38c39.source_card.md — Не найдено конкретных примеров использования "knowledge management system" и "goal tracking setup" в контексте "Life Areas". +- source: b88f36d67970 / b88f36d67970.source_card.md — not found in source +- source: c3eb1f147d81 / c3eb1f147d81.source_card.md — Создание персональной системы управления знаниями (PKM) и самообучающейся системы с использованием AI. +- source: dd348eff9696 / dd348eff9696.source_card.md — not found in source +- source: ec3fe3c52d3a / ec3fe3c52d3a.source_card.md — Система управления знаниями, построенная на основе Claude Code и Obsidian. +- source: f81806894f04 / f81806894f04.source_card.md — Создание личной базы знаний на основе LLM с использованием Obsidian и Claude. +- confidence: strong + +## Concept: Canonical Concepts + +### Definition +In this KB, `Canonical Concepts` is represented by source-backed notes around: Concepts (кроме тех, что явно упомянуты в clean note и transcript) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Concepts (кроме тех, что явно упомянуты в clean note и transcript) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Canonical Concepts` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Concepts (кроме тех, что явно упомянуты в clean note и transcript) +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Concepts `not found in source` +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Concepts +- source: 5230e12a162c / 5230e12a162c.source_card.md — Core Four: Foundational concepts in agentic systems, implying that abstractions often boil down to prompts that run within an agent's context model. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Concepts (specific definitions beyond the provided ones): not found in source +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Concepts (кроме метапромптинга и агентных систем) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Concepts: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: c5ee81b6203d / c5ee81b6203d.source_card.md — Аналитика процесса Purchase-to-Pay (P2P) в Accounts Payable (AP) для команд GBS и финансов. +- source: cde291adf7e0 / cde291adf7e0.source_card.md — * Concepts: not found in source +- source: c5ee81b6203d / c5ee81b6203d.clean.md — Purchase Order (PO): официальный документ для авторизации покупки. +- source: concepts_index / concepts_index.csv — Source file references this area: concepts_index.csv +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- confidence: strong + +## Concept: Operational Framework + +### Definition +In this KB, `Operational Framework` is represented by source-backed notes around: Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Operational Framework` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 0937003ca29f / 0937003ca29f.source_card.md — Reflection and Strategic Simplification: The notebook can facilitate deep reflection, emotional processing, and strategic simplification, such as using frameworks like Tiago Forte's annual review. +- source: 1d917a33ec0f / 1d917a33ec0f.source_card.md — BMAD Framework: Систематический метод разработки на основе агентов. +- source: 21a3b6d159ba / 21a3b6d159ba.source_card.md — not found in source +- source: 249e4828d393 / 249e4828d393.source_card.md — PARA Method (Projects, Areas, Resources, Archives): A framework for organizing information. +- source: 6e8bdf5c115f / 6e8bdf5c115f.source_card.md — Revise budgets based on variance analysis to reflect real-time operational realities (chunk_001). +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — Detailed comparison of TruLens with other frameworks like Ragas beyond a brief mention. +- source: c9f2ad11f7a3 / c9f2ad11f7a3.source_card.md — Doi Framework: Концепция организации проектов, включающая Directives (инструкции), Orchestration (агенты) и Execution (скрипты/инструменты). +- source: 039ae7b6765b / 039ae7b6765b.clean.md — Framework uses Socratic brainstorming for technical specifications refinement. +- source: 079e99b44ad4 / 079e99b44ad4.clean.md — The framework requires a question, ground truth, generated answer, and retrieved context for evaluation. +- source: 1d917a33ec0f / 1d917a33ec0f.clean.md — BMAD Framework: Systematic agent-based development method. +- source: 21a3b6d159ba / 21a3b6d159ba.clean.md — COIN-фреймворк: Методология для создания эффективных промптов, включающая Контекст, Вход/Инструкции, Output и Next Steps. +- source: 46cdc78c69af / 46cdc78c69af.clean.md — Operational and strategic initiatives: Инициативы, направленные на улучшение текущих процессов (операционные) или на стратегическое развитие (стратегические). +- source: 6e8bdf5c115f / 6e8bdf5c115f.clean.md — Revise budgets based on variance analysis to reflect real-time operational realities. +- confidence: strong + +## Concept: Codex Workflow + +### Definition +In this KB, `Codex Workflow` is represented by source-backed notes around: Goal — новая функция в Codex, позволяющая задавать долгосрочные цели для AI-агента. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Goal — новая функция в Codex, позволяющая задавать долгосрочные цели для AI-агента. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Codex Workflow` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: ab73c08ac842 / ab73c08ac842.source_card.md — Goal — новая функция в Codex, позволяющая задавать долгосрочные цели для AI-агента. +- source: dc62b54c1736 / dc62b54c1736.source_card.md — Скиллы в Claude Code, Antigravity Codex и других IDE-инструментах для автоматизации рутинных задач. +- source: e955aeab714e / e955aeab714e.source_card.md — Оптимизация рабочего процесса с использованием Codex CLI. +- source: 1aac8f288c90 / 1aac8f288c90.clean.md — Skills: Навыки, которые можно создавать и использовать для автоматизации workflow. +- source: 6bef663f3da0 / 6bef663f3da0.clean.md — AgentsMD: Файл для предоставления контекста Codex о проекте. +- source: ab73c08ac842 / ab73c08ac842.clean.md — Ralph Loop: цикл планирования, выполнения и уточнения, ранее реализованный как скрипт, теперь интегрирован в Codex как официальная функция. +- source: dc62b54c1736 / dc62b54c1736.clean.md — Скиллы: Конкретные автоматизации задач, привязанные к workflow. +- source: e0e0a673c090 / e0e0a673c090.clean.md — Agentic Workflow: Using agents to automate tasks like setting up OpenClaw or generating restaurant menus, reducing the need for manual coding. +- source: e955aeab714e / e955aeab714e.clean.md — MCP-серверы: Инструменты для расширения функциональности Codex (например, доступ к документации AWS). +- source: 010057ac4ed1 / 010057ac4ed1.source_card.md — Установка и основы использования Codex CLI. +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Поддержка агентских навыков в Codex. +- source: 02d44e99714a / 02d44e99714a.source_card.md — Введение в использование Codex в Visual Studio Code для разработки программного обеспечения. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 0ff1b13b9ffa / 0ff1b13b9ffa.source_card.md — Codex Desktop App +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Codex App — это AI-кодинговый агент от OpenAI, предназначенный для помощи в написании, чтении и создании кода. +- source: 1d917a33ec0f / 1d917a33ec0f.source_card.md — Использование OpenAI Codex для автоматизации разработки программного обеспечения. +- confidence: strong + +## Concept: Judge / Reviewer + +### Definition +In this KB, `Judge / Reviewer` is represented by source-backed notes around: Scoring: Defining clear criteria and using robust tests (LLM as a Judge, code-based scores) to measure application quality over time. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Scoring: Defining clear criteria and using robust tests (LLM as a Judge, code-based scores) to measure application quality over time. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Judge / Reviewer` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Scoring: Defining clear criteria and using robust tests (LLM as a Judge, code-based scores) to measure application quality over time. +- source: 5a3604b62d2b / 5a3604b62d2b.source_card.md — * LLM как Судья (LLM as Judge): Использование большой языковой модели для оценки субъективных аспектов ответов, таких как предпочтительность или качество. +- source: 632bc5cf84a6 / 632bc5cf84a6.source_card.md — LLM Judges: Использование LLM для оценки качества результатов других LLM. +- source: 8aa5b73621c4 / 8aa5b73621c4.source_card.md — LLM as a Judge: Использование другой LLM для оценки вывода агента на основе заданных критериев. (chunk_001) +- source: b382abfb2fb1 / b382abfb2fb1.source_card.md — LLM как судья (LLM-as-a-Judge) +- source: b4909e0d22bb / b4909e0d22bb.source_card.md — Демонстрация использования NVIDIA NIM operator для горизонтального автоскалирования подов с моделью LLM-as-a-Judge в Kubernetes для ускорения задач оценки. +- source: cd7e76f645ab / cd7e76f645ab.source_card.md — * LLM as a Judge: Использование большой языковой модели для оценки ответов AI-системы. +- source: ceacfed72908 / ceacfed72908.source_card.md — Автоматизированные оценки LLM (LLM-as-a-judge) часто дают искаженные результаты, измеряя соответствие модели внутреннему представлению судьи, а не объективное качество. Волатильность результатов при смене модели-судьи подчеркивает эту проблему. +- source: dbf18765cdbb / dbf18765cdbb.source_card.md — Использование LLM и AI-агентов для обработки больших объемов данных с балансом между точностью и стоимостью. +- source: de8cd41b42be / de8cd41b42be.source_card.md — В предоставленном материале недостаточно информации о настройке и использовании более сложных методов оценки, таких как "LLM judges". +- source: ef717d14de84 / ef717d14de84.source_card.md — LLM as a judge: Использование больших языковых моделей для оценки контента, сгенерированного другими моделями. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Agent Orchestration: Utilizing multiple AI agents with distinct roles (e.g., architect, implementer, reviewer) to collaborate in the software development process. +- source: 039ae7b6765b / 039ae7b6765b.clean.md — Human role: architect and reviewer. +- source: 632bc5cf84a6 / 632bc5cf84a6.clean.md — not found in source +- source: b382abfb2fb1 / b382abfb2fb1.clean.md — not found in source +- source: b4909e0d22bb / b4909e0d22bb.clean.md — LLM-as-a-Judge: Подход к оценке моделей с использованием большого языка. +- source: ceacfed72908 / ceacfed72908.clean.md — Калиброванная прокси: инструмент для контроля человеческих бенчмарков, не заменяющий абсолютный стандарт. +- source: dbf18765cdbb / dbf18765cdbb.clean.md — DocETL: Проект Shreya Shank для обработки неструктурированных данных с помощью ЛЛМ. +- source: de8cd41b42be / de8cd41b42be.clean.md — Оценка LLM может включать простые метрики (например, длину текста) и сложные методы (например, LLM judges). +- source: ef717d14de84 / ef717d14de84.clean.md — LLM as a judge масштабирует оценку текстов, генерируемых AI. +- confidence: strong + +## Concept: Prompt Routing + +### Definition +In this KB, `Prompt Routing` is represented by source-backed notes around: GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Prompt Routing` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Prompting Strategy: Prompts should be directive, designed to elicit action, and combine research, analysis, logic, and decision-making. Use an action-and-output structure rather than question-and-answer. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Context Engineering: Evolving from prompt engineering, it focuses on curating the perfect context for AI coding agents to perform tasks effectively. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Prompt Injection: Manipulating an AI agent through malicious input to perform unintended actions. +- source: 21a3b6d159ba / 21a3b6d159ba.source_card.md — not found in source +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Megaprompts: Комплексные инструкции, объединяющие роль, контекст, задачу, ограничения и примеры, для повторяющихся и сложных задач. chunk_001 +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — generation_failure: Gemini returned an empty response after 4 attempts: promptFeedback={'blockReason': 'PROHIBITED_CONTENT'} +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust UI: A platform for managing prompts, datasets, scores, and experiments for AI evaluation. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Loop Commands: Schedule prompts to run at fixed intervals for tasks like UI review and fixing. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.source_card.md — Использование ChatGPT как AI-партнера для ускорения процесса написания, включая планирование, drafting, ревизию и упаковку. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Prompt Engineering: The practice of writing clear instructions for AI models to perform tasks. +- source: 500232e9fdf4 / 500232e9fdf4.source_card.md — Kodak Skills для автоматизации повторяющихся задач. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Core Four: Foundational concepts in agentic systems, implying that abstractions often boil down to prompts that run within an agent's context model. +- source: 590111c507a0 / 590111c507a0.source_card.md — System Prompt: Instructions given to an agent to define its role and behavior. chunk_002 +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Prompt Chaining (Цепочка промптов): Техника для создания сложных рабочих процессов. +- source: 67326d3d3a36 / 67326d3d3a36.source_card.md — * Промпт-инженерия (Prompt Engineering): Процесс создания эффективных промптов для LLM, включающий четкие инструкции, примеры и форматирование диалога. +- source: 6bef663f3da0 / 6bef663f3da0.source_card.md — Prompting: Процесс написания эффективных инструкций для Codex для достижения желаемых результатов. +- source: 6e8bdf5c115f / 6e8bdf5c115f.source_card.md — Implement corrective actions promptly to align budgetary performance with organizational goals (chunk_001). +- source: 6fa35d992f1a / 6fa35d992f1a.source_card.md — Использование Model Armor для инспекции входящих данных (prompt injection) и фильтрации запросов на вызовы инструментов (command injection, RCE). +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Prompt injection can occur with MCPs and downloading plugins. Always have Claude Code review MCPs before installing. +- confidence: strong + +## Concept: Context Engineering + +### Definition +In this KB, `Context Engineering` is represented by source-backed notes around: Harness Engineering: Building a layer on top of a coding agent to enforce a specific software development process, making AI coding more reliable. Archon is a harness builder. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Harness Engineering: Building a layer on top of a coding agent to enforce a specific software development process, making AI coding more reliable. Archon is a harness builder. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Context Engineering` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 07dded635426 / 07dded635426.source_card.md — Harness Engineering: Building a layer on top of a coding agent to enforce a specific software development process, making AI coding more reliable. Archon is a harness builder. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Context Engineering for AI Agents +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic engineering and the implementation of specialized self-validating agents using Cloud Code. +- source: 67326d3d3a36 / 67326d3d3a36.source_card.md — * Промпт-инженерия (Prompt Engineering): Процесс создания эффективных промптов для LLM, включающий четкие инструкции, примеры и форматирование диалога. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic Coding: The practice of engineering AI systems using agents. +- source: b3fb01addb70 / b3fb01addb70.source_card.md — * При работе с LLM, управление контекстом (Context Engineering) важнее, чем Prompt Engineering, так как качество ответа зависит от предоставленной информации. +- source: f35e19a30878 / f35e19a30878.source_card.md — Prompt Engineering: Crafting clear and specific prompts to guide the AI, specifying files, functions, and expected behavior. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Cloud Code: A platform for defining project structure and rules, enabling AI to implement functions within specified constraints. It allows for programmable context engineering. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.clean.md — Always provide clear context and constraints (tone, length, format). +- source: 3fe1e69aac0b / 3fe1e69aac0b.clean.md — not found in source +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Incorrectly separating Projects and Areas could lead to duplication or loss of context. (clean_note) +- source: 013153410460 / 013153410460.source_card.md — XML Structuring: Using tags to label and organize different components of a prompt (task, context, constraints, output format, tone). +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Providing Context and Permissions: Ensure Agent Mode has full context about a task and specify what it can and cannot do. Grant appropriate file permissions and set boundaries for actions. chunk_002 +- source: 079e99b44ad4 / 079e99b44ad4.source_card.md — Retrieve Context: Извлечение релевантного контекста для пользовательского вопроса. +- source: 1797ff4aba2f / 1797ff4aba2f.source_card.md — Сравнение протокола MCP (Model Context Protocol) и CLI (Command Line Interface) для взаимодействия агентов с удаленными серверами. +- source: 1d917a33ec0f / 1d917a33ec0f.source_card.md — Context Window: Объем информации, который модель может обрабатывать (274k токенов для GPT-5 Codex). +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Context Loading: Загрузка примеров текстов, бренд-гайдов или тональных руководств в промпт для персонализации стиля вывода. chunk_001 +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — MCPs (Model Context Protocol) и CLIs: Протоколы и интерфейсы командной строки, используемые для отладки в производстве и интеграции с различными сервисами (Sentry, Axiom, Supabase, Firebase). +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — MCP (Model Context Protocol): Протокол, позволяющий Cloud Code взаимодействовать с внешними сервисами и инструментами, такими как браузеры или базы данных. +- confidence: strong + +## Concept: File-first Knowledge + +### Definition +In this KB, `File-first Knowledge` is represented by source-backed notes around: Building a Second Brain: A Public Notebook for Knowledge Management + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Building a Second Brain: A Public Notebook for Knowledge Management + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `File-first Knowledge` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 249e4828d393 / 249e4828d393.source_card.md — Reference material can be stored in file storage, note-taking apps, or knowledge bases. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — do not promote this source as supported knowledge until it is reviewed (chunk_001) +- source: c3eb1f147d81 / c3eb1f147d81.source_card.md — CloudMD file: Файл, который служит "мозгом" системы, обновляя контекст при каждом взаимодействии с AI. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Adversarial Verification: Employing one agent for coding and another to meticulously review the output of the first agent. +- source: 576536aea528 / 576536aea528.clean.md — Clear email (5-10 min): Process oldest first, archive, create tasks, or save notes. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Поддержка агентских навыков в Codex. +- source: 02d44e99714a / 02d44e99714a.source_card.md — FileAgents.md: Файл для настройки инструкций и правил для агента Codex, позволяющий задавать специфические требования к проекту. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Providing Context and Permissions: Ensure Agent Mode has full context about a task and specify what it can and cannot do. Grant appropriate file permissions and set boundaries for actions. chunk_002 +- source: 106455adc44e / 106455adc44e.source_card.md — LLM Knowledge Base / LLM Wiki: Подход к созданию базы знаний, где LLM обрабатывает исходные данные и создает структурированные вики-страницы. (chunk_001) +- source: 1797ff4aba2f / 1797ff4aba2f.source_card.md — CLI (Command Line Interface): Интерфейс командной строки, который агенты могут использовать для взаимодействия с удаленными серверами. Для известных инструментов (например, `kubectl`, `gh`, `aws`) LLM уже знают, как их использовать, не требуя дополнительного контекста или конфигу +- source: 1da5f9a6d218 / 1da5f9a6d218.source_card.md — not found in source +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — Информация о Knowledge-Segmented Generation (KSG) и его сравнение с GraphRAG. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Incorporating Specialized Knowledge: Use external services or specialized roles within BrainTrust for annotations in industries requiring specific expertise. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Obsidian: An application used for a more user-friendly interface to interact with Co-work OS files. +- source: 327f81526d98 / 327f81526d98.source_card.md — not found in source +- source: 39466d759b5a / 39466d759b5a.source_card.md — Точные причины ошибки "File not found" при первом запуске инжестирования PDF. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Auto Accept Edits: Claude Code automatically makes file changes but still asks for permission to run commands. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Provide Value First: Focus on helping others, teaching, and connecting them to build social capital. (clean_note) +- confidence: strong + +## Concept: Open WebUI Retrieval + +### Definition +In this KB, `Open WebUI Retrieval` is represented by source-backed notes around: GraphRAG (Graph Retrieval Augmented Generation) как продвинутый метод генерации текста, использующий графовые базы данных для более точного и контекстно-зависимого поиска информации по сравнению с традиционным RAG. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- GraphRAG (Graph Retrieval Augmented Generation) как продвинутый метод генерации текста, использующий графовые базы данных для более точного и контекстно-зависимого поиска информации по сравнению с традиционным RAG. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Open WebUI Retrieval` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — GraphRAG (Graph Retrieval Augmented Generation) как продвинутый метод генерации текста, использующий графовые базы данных для более точного и контекстно-зависимого поиска информации по сравнению с традиционным RAG. +- source: 2a64e6372d59 / 2a64e6372d59.source_card.md — OpenWebUI: интерфейс для тестирования производительности. +- source: 39466d759b5a / 39466d759b5a.source_card.md — RAG (Retrieval Augmented Generation): Технология, которая дополняет генерацию ответов языковой моделью (LLM) путем извлечения релевантной информации из внешних источников данных. +- source: 3951e9bce9a7 / 3951e9bce9a7.source_card.md — not found in source +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — GraphRAG (Graph Retrieval-Augmented Generation) +- source: 5501b047b7bf / 5501b047b7bf.source_card.md — not found in source +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: 8255faf11758 / 8255faf11758.source_card.md — RAG (Retrieval-Augmented Generation): Механизм, позволяющий агенту искать информацию в проиндексированных данных (например, в SQLite-базе ежедневных логов). +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — RAG (Retrieval-Augmented Generation): Система, объединяющая поиск информации и генерацию текста. +- source: a209de643f12 / a209de643f12.source_card.md — KEG Builder: Компонент, отвечающий за построение графа знаний. Он включает семантическое деление текста на чанки, извлечение сущностей и отношений с помощью OpenIE, согласование знаний (устранение дубликатов, понимание синонимов), добавление описаний и резюме для сущностей, а так +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Setting up a local LLM server using Ollama and accessing it via a WebUI and API. +- source: cc3fcbd9127a / cc3fcbd9127a.source_card.md — not found in source +- source: d2a2f76027de / d2a2f76027de.source_card.md — RAG (Retrieval-Augmented Generation): подход, при котором ИИ ищет информацию в документах и генерирует ответ. Основной недостаток — отсутствие накопления знаний и необходимость начинать поиск с нуля для каждого запроса. +- source: e23973f72f18 / e23973f72f18.source_card.md — Установка и настройка локального сервера искусственного интеллекта (Local AI) с использованием Ubuntu, Ollama и OpenWebUI. +- source: ec0cf17371a7 / ec0cf17371a7.source_card.md — OpenWebUI: Веб-интерфейс для взаимодействия с моделями LLM, работающими через Ollama, позволяющий удаленный доступ и управление. +- source: f6aa57473d57 / f6aa57473d57.source_card.md — Агентский RAG (Retrieval-Augmented Generation): Комбинирует извлечение информации из базы знаний (документы и табличные данные) с генерацией ответов с помощью LLM, предоставляя агенту возможность рассуждать о том, как исследовать базу знаний. +- source: 002ccfab2527 / 002ccfab2527.clean.md — OpenWebUI: Интерфейс для управления OLLAMA-сервером. +- source: 097cedc76508 / 097cedc76508.clean.md — Разделение контейнеров Docker для OpenWebUI и Ollama. +- source: 2167d88e7b28 / 2167d88e7b28.clean.md — LightRAG: Open-source платформа для создания графов знаний и их интеграции с ИИ-агентами. +- source: 2a64e6372d59 / 2a64e6372d59.clean.md — OpenWebUI: интерфейс для тестирования производительности. +- confidence: strong + +## Concept: RAG + +### Definition +In this KB, `RAG` is represented by source-backed notes around: Tool Agnostic: The method can be applied across various tools like cloud storage, note apps, email, and task managers. (chunk_001, chunk_002) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Tool Agnostic: The method can be applied across various tools like cloud storage, note apps, email, and task managers. (chunk_001, chunk_002) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `RAG` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Tool Agnostic: The method can be applied across various tools like cloud storage, note apps, email, and task managers. (chunk_001, chunk_002) +- source: 013153410460 / 013153410460.source_card.md — Verbosity Control: Specifying the desired output length (e.g., word count, paragraph count). +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Leveraging Automation: Subscribe to accounts on other sites (e.g., Google, Canva, GitHub) to allow ChatGPT to pull data directly. Connect ChatGPT to automation clients like N8N for pre-scheduled automations. chunk_002 +- source: 079e99b44ad4 / 079e99b44ad4.source_card.md — RAGAS — это фреймворк для оценки RAG-приложений, фокусирующийся на качестве извлечения информации и генерации ответов. +- source: 07dded635426 / 07dded635426.source_card.md — RAG (Retrieval-Augmented Generation): Used for course and workshop navigation within the Dynamis community platform. +- source: 0a5845144d50 / 0a5845144d50.source_card.md — Создание production-ready RAG AI агента с использованием BigQuery и Cloud SQL. +- source: 1a2ef33722e9 / 1a2ef33722e9.source_card.md — Download and Save: Download the generated kit and store it in a secure, accessible location (e.g., cloud storage, physical passport). +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — GraphRAG (Graph Retrieval Augmented Generation) как продвинутый метод генерации текста, использующий графовые базы данных для более точного и контекстно-зависимого поиска информации по сравнению с традиционным RAG. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Переход к ELT с использованием BigQuery и Google Cloud Storage (chunk_001). +- source: 249e4828d393 / 249e4828d393.source_card.md — Use Logseq for primary note-taking, capturing ideas, notes, and tasks, leveraging its tagging and backlinking. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — When using LLM as a Judge, consider running tests multiple times and averaging results to mitigate variability. +- source: 39466d759b5a / 39466d759b5a.source_card.md — Создание RAG-приложения на Python с использованием Ingest для продакшена. +- source: 4c82990cad09 / 4c82990cad09.source_card.md — not found in source +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — GraphRAG (Graph Retrieval-Augmented Generation) +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 645926462488 / 645926462488.source_card.md — KPI: Total Spend, Total Transaction, Average Transaction Value. +- source: 67326d3d3a36 / 67326d3d3a36.source_card.md — Создание локального пайплайна Retrieval-Augmented Generation (RAG) с нуля. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — New Worktree Implementation: Reimplemented as a slash command (`/worktree`) and a "Best of N" skill, leveraging agent skills and sub-agents. This drastically reduced the codebase. +- source: 8255faf11758 / 8255faf11758.source_card.md — RAG (Retrieval-Augmented Generation): Механизм, позволяющий агенту искать информацию в проиндексированных данных (например, в SQLite-базе ежедневных логов). +- source: 8374412e18eb / 8374412e18eb.source_card.md — not found in source +- confidence: strong + +## Concept: Finance Analytics + +### Definition +In this KB, `Finance Analytics` is represented by source-backed notes around: Аналитика процесса Purchase-to-Pay (P2P) в Accounts Payable (AP) для команд GBS и финансов. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Аналитика процесса Purchase-to-Pay (P2P) в Accounts Payable (AP) для команд GBS и финансов. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Finance Analytics` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: c5ee81b6203d / c5ee81b6203d.source_card.md — Аналитика процесса Purchase-to-Pay (P2P) в Accounts Payable (AP) для команд GBS и финансов. +- source: c5ee81b6203d / c5ee81b6203d.clean.md — Purchase Order (PO): официальный документ для авторизации покупки. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/finance_analytics.md +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Areas: Ongoing responsibilities that need to be maintained at a certain standard, such as health, finances, or career. (chunk_001) +- source: 23c07242ffea / 23c07242ffea.source_card.md — not found in source +- source: 249e4828d393 / 249e4828d393.source_card.md — Areas: Ongoing responsibilities with no defined end (e.g., finances, health). +- source: 3856ddacffbb / 3856ddacffbb.source_card.md — not found in source +- source: 61b9443e7c3f / 61b9443e7c3f.source_card.md — 7 ключевых графиков для финансовых презентаций. +- source: 6e8bdf5c115f / 6e8bdf5c115f.source_card.md — Budget variance analysis is a key tool for financial professionals to monitor and improve financial performance by comparing actual financial performance with budgeted figures to identify favorable or adverse variances. +- source: 843f61ef5d8a / 843f61ef5d8a.source_card.md — Анализ финансовых транзакций на уровне отдельных операций с использованием Python для банковской сферы. +- source: 8b1894548ce0 / 8b1894548ce0.source_card.md — not found in source +- source: 97d4d5876d0d / 97d4d5876d0d.source_card.md — not found in source +- source: 985e1ca4a8bf / 985e1ca4a8bf.source_card.md — Создание эффективной презентации PowerPoint для финансовых профессионалов, включая принципы структурирования слайдов, выбор визуализации и адаптацию под аудиторию. +- source: 9a11d93a4d61 / 9a11d93a4d61.source_card.md — Обнаружение мошенничества с платежными картами с использованием Power BI. +- source: a99acb33161c / a99acb33161c.source_card.md — not found in source +- source: b487d844f456 / b487d844f456.source_card.md — not found in source +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Spend Analysis Dashboard by SCM Dojo for analyzing procurement spend in Excel. +- source: e687488788a3 / e687488788a3.source_card.md — Requires collaboration with non-finance teams for accuracy. (chunk_001) +- source: 23c07242ffea / 23c07242ffea.clean.md — Fraud Detection: Выявление подозрительных транзакций на основе паттернов. +- source: 3856ddacffbb / 3856ddacffbb.clean.md — Figma: Design tool for creating templates and organizing design elements. +- confidence: strong + +## Concept: Power BI Analytics + +### Definition +In this KB, `Power BI Analytics` is represented by source-backed notes around: not found in source + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- not found in source + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Power BI Analytics` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 23c07242ffea / 23c07242ffea.source_card.md — not found in source +- source: 3856ddacffbb / 3856ddacffbb.source_card.md — not found in source +- source: 9a11d93a4d61 / 9a11d93a4d61.source_card.md — Обнаружение мошенничества с платежными картами с использованием Power BI. +- source: b487d844f456 / b487d844f456.source_card.md — not found in source +- source: 23c07242ffea / 23c07242ffea.clean.md — Slicers: Инструменты для динамической фильтрации данных в Power BI. +- source: 3856ddacffbb / 3856ddacffbb.clean.md — DAX Measures: Calculations in Power BI using Data Analysis Expressions (DAX). +- source: 9a11d93a4d61 / 9a11d93a4d61.clean.md — Power BI. +- source: b487d844f456 / b487d844f456.clean.md — Визуализация в Power BI: +- source: c5ee81b6203d / c5ee81b6203d.clean.md — Аналитика данных (Power BI) решает вызовы через автоматизированные дашборды, уведомления о просрочке, анализ производительности поставщиков и оптимизацию оборотного капитала. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/finance_analytics.md +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 07dded635426 / 07dded635426.source_card.md — Token Limits: While workflows are designed to be token-efficient, extensive use can still consume significant tokens, especially with more powerful models. +- source: 0b6bc719aa17 / 0b6bc719aa17.source_card.md — BI: визуализация в Tableau/Power BI для датировочных решений. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 2cd1c8730d2c / 2cd1c8730d2c.source_card.md — not found in source +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — The power of Co-work OS comes from the setup: folders, instructions, connectors, and skills. +- source: 372dd1d36486 / 372dd1d36486.source_card.md — not found in source +- source: 37fca4b5cc83 / 37fca4b5cc83.source_card.md — Интеграция с Power BI и Fabric: Подключение AI-инструментов к Power BI и использование OneLake в Fabric для расширенного анализа данных. chunk_005, chunk_007 +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Claude Code: A comprehensive tutorial on using Claude Code, an AI-powered coding agent, for application development. +- source: 3bd998124969 / 3bd998124969.source_card.md — Создание PowerPoint презентаций с помощью Claude Code и навыков. chunk_001, chunk_003 +- confidence: strong + +## Concept: Security Workflow + +### Definition +In this KB, `Security Workflow` is represented by source-backed notes around: Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Security Workflow` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: f35e19a30878 / f35e19a30878.source_card.md — Slash Commands: Commands like `/init`, `/compact`, `/review` that streamline workflows. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — AI-driven development workflow: +- source: 64d02db90f0f / 64d02db90f0f.clean.md — Generation-Verification Loop: A workflow where LLMs generate outputs, and humans verify and refine them. +- source: f35e19a30878 / f35e19a30878.clean.md — Never use dangerous auto-approval for production to prevent security risks. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/security_workflow.md +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 145a07b7d3c5 / 145a07b7d3c5.source_card.md — Перейти в настройки безопасности сайта (например, "Сеттинги и приватность" -> "Sign in and security" на LinkedIn). +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Security of MCP servers and AI agents. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture Workflow: +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Ускорение разработки приложений с помощью AI-инструментов и автоматизации. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 2aa9b790dd93 / 2aa9b790dd93.source_card.md — Сравнение Kestra и Apache Airflow как инструментов для оркестровки workflow, их подходов, применения и подходящих сценариев использования. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.source_card.md — Использование ChatGPT как AI-партнера для ускорения процесса написания, включая планирование, drafting, ревизию и упаковку. +- confidence: strong + +## Concept: Metadata + +### Definition +In this KB, `Metadata` is represented by source-backed notes around: Leverage the flexibility of modern apps like Logseq and Tana for metadata and information structuring. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Leverage the flexibility of modern apps like Logseq and Tana for metadata and information structuring. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Metadata` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 249e4828d393 / 249e4828d393.source_card.md — Leverage the flexibility of modern apps like Logseq and Tana for metadata and information structuring. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Setting up an Eval: Define a task (prompt/agent), create a dataset (input, expected output, metadata), and define scoring logic (LLM as a Judge, code-based). +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — MetadataReplacementPostProcessor: Постпроцессор для замены метаданных, используемый с SentenceWindowNodeParser. +- source: bf4e694e7923 / bf4e694e7923.source_card.md — Автоматическая привязка встреч к компаниям через участников с использованием Obsidian DataView. +- source: d7b05372118c / d7b05372118c.source_card.md — * Metadata: Поля для категоризации и тегирования заметок (например, Type, Date Met, Location Met). +- source: bf4e694e7923 / bf4e694e7923.clean.md — not found in source +- confidence: strong + +## Concept: Practical Rules + +### Definition +In this KB, `Practical Rules` is represented by source-backed notes around: Разделяйте системные промпты на части: Используйте `rules` для лучшей организации инструкций. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Разделяйте системные промпты на части: Используйте `rules` для лучшей организации инструкций. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Practical Rules` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Разделяйте системные промпты на части: Используйте `rules` для лучшей организации инструкций. +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Practical Rules `not found in source` +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Practical Rules (specific actionable rules beyond general principles): not found in source +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Practical Rules (кроме общих рекомендаций по использованию моделей) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Practical Rules: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: cde291adf7e0 / cde291adf7e0.source_card.md — * Practical Rules: not found in source +- source: fb04f7f38c41 / fb04f7f38c41.clean.md — Cloud Code and OpenSpec: The presentation introduces Cloud Code and OpenSpec as tools to enhance software development. Cloud Code is a platform that allows developers to define their project's structure and rules, while OpenSpec is a community project that helps AI implement func +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Setting up Online Scoring: Configure scoring rules within BrainTrust to evaluate live traffic and set up progressive alerts. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Design System: A set of rules and components to ensure UI consistency. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Task description and rules (specific instructions, examples). +- source: 5230e12a162c / 5230e12a162c.source_card.md — Hype vs. Substance: Be critical of information surrounding agents, focusing on practical applications and raw information rather than hype. +- source: 590111c507a0 / 590111c507a0.source_card.md — How to "add more rules" to state variables beyond the initial setup. chunk_002 +- source: 902bb53fdd79 / 902bb53fdd79.source_card.md — Управление изменениями для успешной реализации AI в организациях, с акцентом на человеческий фактор и структурные фреймворки. +- source: 917028de5eb3 / 917028de5eb3.source_card.md — * LLMCritic can be used for subjective evaluations where strict rules are not sufficient. +- source: ce3f7412c074 / ce3f7412c074.source_card.md — * Полный список "Cursor Rules" или аналогичных ресурсов для поиска и добавления собственных правил. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Evaluation of AI coding agents using SWE-bench and JetBrains tools like TeamCity and Juni. +- source: eaf6efc00b3c / eaf6efc00b3c.source_card.md — Концепция "второго мозга" как инструмента для захвата, организации и переиспользования идей для активных проектов, позволяющего избежать потери информации и ускорять прогресс. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Cloud Code: A platform for defining project structure and rules, enabling AI to implement functions within specified constraints. It allows for programmable context engineering. +- source: 3856ddacffbb / 3856ddacffbb.clean.md — Practical workflow for creating buttons, tables, and backgrounds in Figma. +- confidence: strong + +## Concept: Risks / Caveats + +### Definition +In this KB, `Risks / Caveats` is represented by source-backed notes around: Risks / Caveats (кроме тех, что явно упомянуты в clean note и transcript) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Risks / Caveats (кроме тех, что явно упомянуты в clean note и transcript) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Risks / Caveats` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Risks / Caveats (кроме тех, что явно упомянуты в clean note и transcript) +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Risks / Caveats: not found in source (в целом, но отдельные риски описаны в `Risks / Caveats`) +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Risks / Caveats `not found in source` +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Risks / Caveats (specific detailed risks beyond general limitations): not found in source +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Risks / Caveats (кроме ценовых и общих замечаний о производительности) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Risks / Caveats: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: b382abfb2fb1 / b382abfb2fb1.source_card.md — Risks / Caveats +- source: cde291adf7e0 / cde291adf7e0.source_card.md — * Risks / Caveats: not found in source +- source: 8e72291121c6 / 8e72291121c6.source_card.md — AI features in password managers may pose privacy risks if not properly secured, especially if relying on cloud analysis. +- source: f35e19a30878 / f35e19a30878.source_card.md — Avoid using dangerous auto-approval settings for production environments due to security risks. +- source: 64d02db90f0f / 64d02db90f0f.clean.md — Security Risks: LLMs are vulnerable to prompt injection and data leakage. +- source: 8e72291121c6 / 8e72291121c6.clean.md — AI features in password managers may pose privacy risks if not properly secured. +- source: f35e19a30878 / f35e19a30878.clean.md — Never use dangerous auto-approval for production to prevent security risks. +- confidence: strong + +## Concept: Concepts + +### Definition +In this KB, `Concepts` is represented by source-backed notes around: Concepts (кроме тех, что явно упомянуты в clean note и transcript) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Concepts (кроме тех, что явно упомянуты в clean note и transcript) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Concepts` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Concepts (кроме тех, что явно упомянуты в clean note и transcript) +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Concepts `not found in source` +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Concepts +- source: 5230e12a162c / 5230e12a162c.source_card.md — Core Four: Foundational concepts in agentic systems, implying that abstractions often boil down to prompts that run within an agent's context model. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Concepts (specific definitions beyond the provided ones): not found in source +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Concepts (кроме метапромптинга и агентных систем) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Concepts: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: c5ee81b6203d / c5ee81b6203d.source_card.md — Аналитика процесса Purchase-to-Pay (P2P) в Accounts Payable (AP) для команд GBS и финансов. +- source: cde291adf7e0 / cde291adf7e0.source_card.md — * Concepts: not found in source +- source: c5ee81b6203d / c5ee81b6203d.clean.md — Purchase Order (PO): официальный документ для авторизации покупки. +- source: concepts_index / concepts_index.csv — Source file references this area: concepts_index.csv +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- confidence: strong + +## Concept: Key Concepts + +### Definition +In this KB, `Key Concepts` is represented by source-backed notes around: Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Key Concepts` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: c5ee81b6203d / c5ee81b6203d.source_card.md — Аналитика процесса Purchase-to-Pay (P2P) в Accounts Payable (AP) для команд GBS и финансов. +- source: c5ee81b6203d / c5ee81b6203d.clean.md — Purchase Order (PO): официальный документ для авторизации покупки. +- source: 0aaa88ac375b / 0aaa88ac375b.source_card.md — Secret Key: Уникальный ключ, используемый вместе с паролем для аутентификации в 1Password. chunk_001 +- source: 145a07b7d3c5 / 145a07b7d3c5.source_card.md — Добавление и использование Passkeys в 1Password. +- source: 1a2ef33722e9 / 1a2ef33722e9.source_card.md — Emergency Kit: A set of data required to recover access to a 1Password account without password resets. It includes the account password, secret keys, and a recovery code. +- source: 24744f3c666f / 24744f3c666f.source_card.md — Выбрать метод аутентификации: "Sign in with ChatDBT" или "Use API key". +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture key insights rather than all information. +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Concepts (кроме тех, что явно упомянуты в clean note и transcript) +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Concepts `not found in source` +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Setup: Configure theme and login method (subscription or API key). +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Concepts +- source: 5230e12a162c / 5230e12a162c.source_card.md — Core Four: Foundational concepts in agentic systems, implying that abstractions often boil down to prompts that run within an agent's context model. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Concepts (specific definitions beyond the provided ones): not found in source +- source: 590111c507a0 / 590111c507a0.source_card.md — Embedding an Agent: Use ChatKit or the Agent SDK. For ChatKit, obtain the Webflow ID and API key, and integrate the provided code into an application. chunk_002 +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Concepts (кроме метапромптинга и агентных систем) +- source: 6e8bdf5c115f / 6e8bdf5c115f.source_card.md — Budget variance analysis is a key tool for financial professionals to monitor and improve financial performance by comparing actual financial performance with budgeted figures to identify favorable or adverse variances. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Concepts: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Passkeys: Cryptographic keys used for authentication, making phishing attacks virtually impossible. , +- confidence: strong + +## Concept: Procedures / Workflows + +### Definition +In this KB, `Procedures / Workflows` is represented by source-backed notes around: Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Procedures / Workflows` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 2aa9b790dd93 / 2aa9b790dd93.source_card.md — Поддержка сложных workflows и масштабируемость. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 5230e12a162c / 5230e12a162c.source_card.md — When building agentic workflows, ensure each component (prompts, sub-agents, skills) can validate its work. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Procedures / Workflow (detailed steps beyond the high-level phases): not found in source +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Procedures / Workflow (в явном виде не описаны, только примеры использования) +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Slash Commands: Custom commands that can be used to trigger specific workflows in Claude Code. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Procedures / Workflow: not found in source +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — AI Developer Workflows (ADWs): Structured processes for developing with AI agents. +- source: c1e5999b5ea9 / c1e5999b5ea9.source_card.md — not found in source +- source: c55b6534653d / c55b6534653d.source_card.md — not found in source +- source: cde291adf7e0 / cde291adf7e0.source_card.md — * Procedures / Workflow: not found in source +- source: eeb7703ca50c / eeb7703ca50c.source_card.md — Агентные рабочие процессы (Agentic Workflows): Автоматизированные рабочие процессы, в которых AI-агенты выполняют инженерные задачи, взаимодействуя с файловой системой, Git и кодом. (chunk_002, chunk_003, chunk_005) +- source: f35e19a30878 / f35e19a30878.source_card.md — Slash Commands: Commands like `/init`, `/compact`, `/review` that streamline workflows. +- source: 013153410460 / 013153410460.clean.md — Chain-of-Thought Workflows: Sequential prompting for complex tasks. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.clean.md — Создание двух workflows: Cloud Code Review (триггер на PR) и Cloud YAML (триггер на комментарии/issue). +- confidence: strong + +## Concept: Review Notes + +### Definition +In this KB, `Review Notes` is represented by source-backed notes around: Resources: A curated library for research, inspiration, reading notes, templates, and examples. Resources should be made actionable and retrievable. (chunk_001) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Resources: A curated library for research, inspiration, reading notes, templates, and examples. Resources should be made actionable and retrievable. (chunk_001) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Review Notes` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Resources: A curated library for research, inspiration, reading notes, templates, and examples. Resources should be made actionable and retrievable. (chunk_001) +- source: 0937003ca29f / 0937003ca29f.source_card.md — Reflection and Strategic Simplification: The notebook can facilitate deep reflection, emotional processing, and strategic simplification, such as using frameworks like Tiago Forte's annual review. +- source: 205904a12467 / 205904a12467.source_card.md — Light version: A brief weekly planning session (20-30 minutes) focused on clearing the task manager inbox, organizing notes, and reviewing active projects. (clean_note, chunk_001) +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Review Notes +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — Source card generation failed and requires human review (chunk_001). +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Review Notes: not found in source +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — Организация выборов офицеров клуба с использованием Things 3 и Apple Notes. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Review Notes +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Review Notes: not found in source +- source: 590111c507a0 / 590111c507a0.source_card.md — Review Notes: not found in source +- source: 597b4abc5c91 / 597b4abc5c91.source_card.md — Review Notes +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Review Notes +- source: 665379cac098 / 665379cac098.source_card.md — Review Notes +- source: 6855a399b7a1 / 6855a399b7a1.source_card.md — * Review Notes +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Review Notes: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Reflect: Regularly reviewing tasks and projects to stay updated. (chunk_001, chunk_003) +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Review Notes: not found in source +- source: b382abfb2fb1 / b382abfb2fb1.source_card.md — Review Notes +- source: d2a2f76027de / d2a2f76027de.source_card.md — Review Notes +- confidence: strong + +## Concept: Core Topic + +### Definition +In this KB, `Core Topic` is represented by source-backed notes around: Distill: Extracting core insights from information (e.g., progressive summarization). + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Distill: Extracting core insights from information (e.g., progressive summarization). + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Core Topic` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 249e4828d393 / 249e4828d393.source_card.md — Distill: Extracting core insights from information (e.g., progressive summarization). +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Рефакторинг существующей кодовой базы для улучшения структуры, разделения на крейты (CLI, UI, Core) и устранения дубликатов кода и тихих ошибок. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Offline Evaluations: Predefined datasets and scores used for initial testing and consistency checks during development. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Focus on Non-Work Facets First: When networking, start conversations with non-work-related topics to make them more engaging. (clean_note, chunk_002, chunk_007) +- source: 5230e12a162c / 5230e12a162c.source_card.md — Core Four: Foundational concepts in agentic systems, implying that abstractions often boil down to prompts that run within an agent's context model. +- source: 917028de5eb3 / 917028de5eb3.source_card.md — * Scorers: Evaluation metrics used to assess the LLM's output. These can be built-in (e.g., JSON syntax check) or custom Python scripts. +- source: 9c4e4be7087c / 9c4e4be7087c.source_card.md — * Core Plugins: Встроенные плагины Obsidian. +- source: 9f1540c05011 / 9f1540c05011.source_card.md — Trajectory Average Score: Метрика ADK, оценивающая, насколько фактическая траектория совпадает с ожидаемой (от 0 до 1). +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Core Four: The fundamental components of agentic coding: context, model, prompt, and tools. +- source: b099231d30b7 / b099231d30b7.source_card.md — Организация Obsidian Vault с использованием тегов и топиков для создания эмерджентных инсайтов. +- source: 079e99b44ad4 / 079e99b44ad4.clean.md — Use RAGAS to score faithfulness and answer correctness. +- source: 1a6109eb8bd7 / 1a6109eb8bd7.clean.md — Scorer: Логика оценки (LLM-судья, код-базовый скорер). +- source: 9f1540c05011 / 9f1540c05011.clean.md — Trajectory Average Score: Метрика, оценивающая совпадение фактической траектории с ожидаемой (0–1). +- source: b099231d30b7 / b099231d30b7.clean.md — not found in source +- confidence: strong + +## Concept: Examples + +### Definition +In this KB, `Examples` is represented by source-backed notes around: Resources: A curated library for research, inspiration, reading notes, templates, and examples. Resources should be made actionable and retrievable. (chunk_001) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Resources: A curated library for research, inspiration, reading notes, templates, and examples. Resources should be made actionable and retrievable. (chunk_001) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Examples` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Resources: A curated library for research, inspiration, reading notes, templates, and examples. Resources should be made actionable and retrievable. (chunk_001) +- source: 013153410460 / 013153410460.source_card.md — Few-Shot Prompting: Providing 1-3 examples to guide the model's style, format, or tone. +- source: 0937003ca29f / 0937003ca29f.source_card.md — Follow-up Questions: Users can ask subsequent questions for clarification, examples, or specific case applications. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Specific examples of prompt injection techniques beyond general descriptions. +- source: 249e4828d393 / 249e4828d393.source_card.md — Specific examples of how Tana's AI integration is used. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Datasets: Collections of real-world examples or test cases used to evaluate tasks. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — The exact "12-dollar word" for asking about non-work facets is not explicitly stated, but examples like "What impresses you right now?" or "Where are you growing?" are provided. (chunk_002) +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Task description and rules (specific instructions, examples). +- source: 5230e12a162c / 5230e12a162c.source_card.md — Specific examples of how self-validation is implemented within skills are mentioned but not fully detailed. +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Cloud-based Password Managers: Sync across devices, offering convenience. Examples include Bitwarden, 1Password, Dashlane. +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — Specific examples of how to use `TrueCustomApp` for fully custom RAG applications. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Which specific models are supported via the WebUI and API is not exhaustively listed, beyond examples. +- source: 013153410460 / 013153410460.clean.md — Few-Shot Prompting: Provide 1-3 examples to demonstrate desired style or format. +- confidence: strong + +## Concept: Not Found / Unclear + +### Definition +In this KB, `Not Found / Unclear` is represented by source-backed notes around: not found in source + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- not found in source + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Not Found / Unclear` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 002ccfab2527 / 002ccfab2527.source_card.md — not found in source +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Actionability: Organization should facilitate task completion, not just create an illusion of order. (chunk_001) +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 0235204a8edc / 0235204a8edc.source_card.md — not found in source +- source: 027119cd3ec7 / 027119cd3ec7.source_card.md — not found in source +- source: 0289a622670f / 0289a622670f.source_card.md — not found in source +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- source: 047131d56e3f / 047131d56e3f.source_card.md — not found in source +- source: 066319c30340 / 066319c30340.source_card.md — not found in source +- source: 07fdccb2e649 / 07fdccb2e649.source_card.md — not found in source +- source: 08487a9bb796 / 08487a9bb796.source_card.md — not found in source +- source: 08a478d9b588 / 08a478d9b588.source_card.md — not found in source +- source: 094f121cf2f4 / 094f121cf2f4.source_card.md — not found in source (chunk_001) +- source: 097cedc76508 / 097cedc76508.source_card.md — not found in source +- source: 106455adc44e / 106455adc44e.source_card.md — Как часто рекомендуется обновлять базу знаний? (not found in source) +- source: 11a5947e430c / 11a5947e430c.source_card.md — not found in source +- source: 156b7f4c8851 / 156b7f4c8851.source_card.md — not found in source (chunk_001) +- source: 162de9e9b09e / 162de9e9b09e.source_card.md — not found in source +- source: 16448a566572 / 16448a566572.source_card.md — not found in source +- confidence: strong + +## Concept: Tags + +### Definition +In this KB, `Tags` is represented by source-backed notes around: XML Structuring: Using tags to label and organize different components of a prompt (task, context, constraints, output format, tone). + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- XML Structuring: Using tags to label and organize different components of a prompt (task, context, constraints, output format, tone). + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Tags` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 013153410460 / 013153410460.source_card.md — XML Structuring: Using tags to label and organize different components of a prompt (task, context, constraints, output format, tone). +- source: 249e4828d393 / 249e4828d393.source_card.md — Keep organization simple using tags and backlinks. +- source: 252ce08af5f2 / 252ce08af5f2.source_card.md — Обзор приложения Things Free для управления задачами и продуктивности. +- source: 58ee17c5494a / 58ee17c5494a.source_card.md — Tagging Tasks: Using tags (e.g., "this week") to focus on relevant tasks. +- source: 97c5fbf34e51 / 97c5fbf34e51.source_card.md — GPT-4 и GPT-3.5 Turbo: Модели OpenAI, используемые AIDER. GPT-4 требует доступа к API и большего контекстного окна для лучшей производительности и создания карты репозитория с использованием C tags. GPT-3.5 Turbo используется, когда доступ к GPT-4 API ограничен или контекстное ок +- source: a16496b9b0d1 / a16496b9b0d1.source_card.md — * Context Tags: Теги, используемые для обозначения контекста выполнения задач (например, #home). +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — * Set up contexts using tags (e.g., @home, @work, @online, @Alice). (chunk_002) +- source: b099231d30b7 / b099231d30b7.source_card.md — Организация Obsidian Vault с использованием тегов и топиков для создания эмерджентных инсайтов. +- source: cde291adf7e0 / cde291adf7e0.source_card.md — Создание базового шаблона: Создать новую заметку, добавить YAML-заголовок с необходимыми полями (date, tags, aliases, summary, type, status, related). , +- source: 013153410460 / 013153410460.clean.md — XML Structuring: Using tags to define prompt components. +- source: 252ce08af5f2 / 252ce08af5f2.clean.md — GTD (Getting Things Done): Метод управления задачами, включающий принципы "Someday/Maybe" и организацию задач по областям и проектам. +- source: b099231d30b7 / b099231d30b7.clean.md — not found in source +- confidence: strong + +## Concept: Human Review + +### Definition +In this KB, `Human Review` is represented by source-backed notes around: Reflection and Strategic Simplification: The notebook can facilitate deep reflection, emotional processing, and strategic simplification, such as using frameworks like Tiago Forte's annual review. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Reflection and Strategic Simplification: The notebook can facilitate deep reflection, emotional processing, and strategic simplification, such as using frameworks like Tiago Forte's annual review. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Human Review` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Reflection and Strategic Simplification: The notebook can facilitate deep reflection, emotional processing, and strategic simplification, such as using frameworks like Tiago Forte's annual review. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Regular Audits: Periodically reviewing MCP configurations, tools, and privileges. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — Source card generation failed and requires human review (chunk_001). +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Human-in-the-Loop Workflow: Use human review to validate AI outputs, provide ground truth for datasets, and refine LLM-as-a-Judge criteria. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Large Language Models (LLMs): AI models trained on vast text data for understanding and generating human-like text. chunk_001 +- source: 590111c507a0 / 590111c507a0.source_card.md — Human in the Loop: Functionality that allows for user approval at certain stages of a workflow. chunk_005 +- source: 9f1540c05011 / 9f1540c05011.source_card.md — Трехъярусная тестовая пирамида: Фреймворк для оценки агентов AI, состоящий из трех уровней: компонентный (unit tests), траекторный (integration tests) и конечный (human review). +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Agent Orchestration: Utilizing multiple AI agents with distinct roles (e.g., architect, implementer, reviewer) to collaborate in the software development process. +- source: 039ae7b6765b / 039ae7b6765b.clean.md — Parallel execution for large projects with two-stage review. +- source: 1a6109eb8bd7 / 1a6109eb8bd7.clean.md — Human review: Ручная оценка логов для улучшения датасетов. +- source: 9f1540c05011 / 9f1540c05011.clean.md — Тир 3 (End-to-end human review): Ручное тестирование на полезность, безопасность и общее качество. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 07dded635426 / 07dded635426.source_card.md — Dark Factory: A codebase entirely managed by AI coding agents with minimal human intervention, aiming for fully automated software development. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — Claude Code Review: Автоматическая проверка кода с возможностью фильтрации по разработчикам и настройки промптов. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Code Review: Функция для проверки кода, предоставления комментариев и внесения предложений по улучшению. +- source: 1ab3cfca4b54 / 1ab3cfca4b54.source_card.md — The importance of the weekly review in the Getting Things Done (GTD) methodology for maintaining a clean and current system, with a focus on starting with the calendar and waiting-for list for beginners. +- source: 205904a12467 / 205904a12467.source_card.md — Light version: A brief weekly planning session (20-30 minutes) focused on clearing the task manager inbox, organizing notes, and reviewing active projects. (clean_note, chunk_001) +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — AI Code Review Systems (Reptile): Системы для автоматической проверки кода (pull requests), помогающие разработчикам-одиночкам. +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Review Notes +- confidence: strong + +## Concept: Short Summary + +### Definition +In this KB, `Short Summary` is represented by source-backed notes around: Short Summary + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Short Summary + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Short Summary` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Short Summary +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Short Summary +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Short Summary: not found in source +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Short Summary `not found in source` +- source: 33e44990acd7 / 33e44990acd7.source_card.md — * Short Summary +- source: 3bd998124969 / 3bd998124969.source_card.md — Short Summary: not found in source +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Basic RAG systems and vector databases can fall short due to incomplete datasets and reliance on partial information. chunk_001 +- source: 58ee17c5494a / 58ee17c5494a.source_card.md — Short Summary: not found in source +- source: 590111c507a0 / 590111c507a0.source_card.md — Short Summary: not found in source +- source: 597b4abc5c91 / 597b4abc5c91.source_card.md — Short Summary +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Short Summary +- source: 665379cac098 / 665379cac098.source_card.md — Short Summary +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Short Summary: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — Short Summary +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Short Summary (not found in source) +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Short Summary: not found in source +- source: b099231d30b7 / b099231d30b7.source_card.md — Short Summary +- source: b382abfb2fb1 / b382abfb2fb1.source_card.md — Short Summary +- source: cde291adf7e0 / cde291adf7e0.source_card.md — Создание базового шаблона: Создать новую заметку, добавить YAML-заголовок с необходимыми полями (date, tags, aliases, summary, type, status, related). , +- confidence: strong + +## Concept: Main Ideas + +### Definition +In this KB, `Main Ideas` is represented by source-backed notes around: For creatively linking ideas, Obsidian is suggested. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- For creatively linking ideas, Obsidian is suggested. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Main Ideas` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — For creatively linking ideas, Obsidian is suggested. +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Main Ideas +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Main Ideas: not found in source +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Main Ideas `not found in source` +- source: 33e44990acd7 / 33e44990acd7.source_card.md — * Main Ideas +- source: 3bd998124969 / 3bd998124969.source_card.md — Main Ideas: not found in source +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Compress: Summarizing or trimming context to maintain efficiency. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Main Ideas: not found in source +- source: 58ee17c5494a / 58ee17c5494a.source_card.md — Tag tasks for the current week to maintain focus. +- source: 590111c507a0 / 590111c507a0.source_card.md — When embedding agents, it's recommended to specify the domain to prevent unauthorized integration. chunk_002 +- source: 597b4abc5c91 / 597b4abc5c91.source_card.md — Main Ideas +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Main Ideas +- source: 665379cac098 / 665379cac098.source_card.md — Main Ideas +- source: 6855a399b7a1 / 6855a399b7a1.source_card.md — * Main Ideas +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Main Ideas: not found in source +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — VectorStoreIndex: Структура данных для хранения и поиска векторов в LlamaIndex. +- source: a2c848152155 / a2c848152155.source_card.md — Execution vs. Intelligence: Intelligence helps in understanding, but execution is what transforms ideas into income and knowledge into results. , +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Capture: Getting all tasks and ideas out of your mind into a trusted system. (chunk_001) +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Main Ideas: not found in source +- confidence: strong + +## Concept: Procedures / Workflow + +### Definition +In this KB, `Procedures / Workflow` is represented by source-backed notes around: Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Procedures / Workflow` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Procedures / Workflow (detailed steps beyond the high-level phases): not found in source +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Procedures / Workflow (в явном виде не описаны, только примеры использования) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Procedures / Workflow: not found in source +- source: cde291adf7e0 / cde291adf7e0.source_card.md — * Procedures / Workflow: not found in source +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture Workflow: +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Ускорение разработки приложений с помощью AI-инструментов и автоматизации. +- source: 2aa9b790dd93 / 2aa9b790dd93.source_card.md — Сравнение Kestra и Apache Airflow как инструментов для оркестровки workflow, их подходов, применения и подходящих сценариев использования. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.source_card.md — Использование ChatGPT как AI-партнера для ускорения процесса написания, включая планирование, drafting, ревизию и упаковку. +- source: 42f95d1fde52 / 42f95d1fde52.source_card.md — Интеграция Custom GPT и ChatGPT Projects для оптимизации рабочих процессов, улучшения организации и повышения продуктивности при работе с исследовательскими проектами. +- source: 445c8146740b / 445c8146740b.source_card.md — Фреймворк CTC (Context-Task-Constraints) для улучшения взаимодействия с AI. +- source: 5230e12a162c / 5230e12a162c.source_card.md — When building agentic workflows, ensure each component (prompts, sub-agents, skills) can validate its work. +- confidence: strong + +## Concept: Evidence Pointers + +### Definition +In this KB, `Evidence Pointers` is represented by source-backed notes around: Evidence Pointers: not found in source + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Evidence Pointers: not found in source + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Evidence Pointers` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Evidence Pointers: not found in source +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Evidence Pointers (all marked as not found in source) +- source: 597b4abc5c91 / 597b4abc5c91.source_card.md — Evidence Pointers (все помечены как not found in source) +- source: 665379cac098 / 665379cac098.source_card.md — Evidence Pointers (все помечены как not found in source) +- source: 6855a399b7a1 / 6855a399b7a1.source_card.md — * Evidence Pointers (chunk_001, chunk_002) +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Evidence Pointers (not found in source) +- source: d2a2f76027de / d2a2f76027de.source_card.md — Evidence Pointers (все указаны как "not found in source") +- source: d31c0fa7fc22 / d31c0fa7fc22.source_card.md — Evidence Pointers: Все указанные chunk_id содержат информацию, но не все тезисы могут быть напрямую связаны с конкретным chunk_id без интерпретации. +- source: dbe936dbb277 / dbe936dbb277.source_card.md — Evidence Pointers: not found in source +- source: dcdc1b87c828 / dcdc1b87c828.source_card.md — * Evidence Pointers +- source: f6aa57473d57 / f6aa57473d57.source_card.md — Evidence Pointers: +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Evidence over claims: Принцип, согласно которому задача считается завершенной только при наличии проходящего теста в качестве доказательства. +- source: a2c848152155 / a2c848152155.source_card.md — Explicit mention of "clean note" or "transcript chunk evidence" within the source content itself. +- source: 039ae7b6765b / 039ae7b6765b.clean.md — Evidence over claims — завершение задачи только при наличии passing test. +- confidence: strong + +## Concept: Open Questions + +### Definition +In this KB, `Open Questions` is represented by source-backed notes around: Open Questions + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Open Questions + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Open Questions` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Open Questions +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Open Questions: not found in source +- source: 2b3eaf757caf / 2b3eaf757caf.source_card.md — Установка: Установить Node.js, затем выполнить `npm install -g openai.codex`. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Answer Setup Questions: Respond to Co-work OS questions about your name, busiest tasks, preferred apps, and response style. +- source: 31c7d8979d66 / 31c7d8979d66.source_card.md — * Open Questions `not found in source` +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — When networking, ask open-ended questions that explore different facets of a person's life beyond their work. (chunk_002, chunk_003) +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Open Questions +- source: 500232e9fdf4 / 500232e9fdf4.source_card.md — Как именно работает механизм прогрессивной дисклозии в Codex? (из Open Questions) +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Open Questions: not found in source +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: 597b4abc5c91 / 597b4abc5c91.source_card.md — Open Questions +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Open Questions +- source: 665379cac098 / 665379cac098.source_card.md — Оценка больших языковых моделей (LLM) с использованием инструмента оценки OpenAI. +- source: 6855a399b7a1 / 6855a399b7a1.source_card.md — * Open Questions +- source: 71e059fdc87a / 71e059fdc87a.source_card.md — Альтернативы плагину "Actions for Obsidian" для автоматизации. (Open Questions в Clean Note) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — The new implementation supports multi-repo setups, creating worktrees for each repo and opening separate PRs. +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Упоминание о "Short Summary", "Main Ideas", "Concepts", "Practical Rules", "Risks / Caveats", "Evidence Pointers", "Open Questions", "Review Notes" в "Existing Clean Note" не подтверждается содержимым. +- source: a337f5f20c6b / a337f5f20c6b.source_card.md — Как автоматически определять логические ошибки в траектории разговора? (из Open Questions) +- source: a691103892ad / a691103892ad.source_card.md — Как именно agent Бутч анализирует репорты и принимает решения? (Open Questions из clean note) +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Open Questions (not found in source) +- confidence: strong + +## Concept: not found in source + +### Definition +In this KB, `not found in source` is represented by source-backed notes around: not found in source + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- not found in source + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `not found in source` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 002ccfab2527 / 002ccfab2527.source_card.md — not found in source +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Actionability: Organization should facilitate task completion, not just create an illusion of order. (chunk_001) +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 0235204a8edc / 0235204a8edc.source_card.md — not found in source +- source: 027119cd3ec7 / 027119cd3ec7.source_card.md — not found in source +- source: 0289a622670f / 0289a622670f.source_card.md — not found in source +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- source: 047131d56e3f / 047131d56e3f.source_card.md — not found in source +- source: 066319c30340 / 066319c30340.source_card.md — not found in source +- source: 07fdccb2e649 / 07fdccb2e649.source_card.md — not found in source +- source: 08487a9bb796 / 08487a9bb796.source_card.md — Cache Commander: Open-source проект на Rust для управления кэшами разработчиков. +- source: 08a478d9b588 / 08a478d9b588.source_card.md — not found in source +- source: 094f121cf2f4 / 094f121cf2f4.source_card.md — not found in source (chunk_001) +- source: 097cedc76508 / 097cedc76508.source_card.md — not found in source +- source: 106455adc44e / 106455adc44e.source_card.md — Как часто рекомендуется обновлять базу знаний? (not found in source) +- source: 11a5947e430c / 11a5947e430c.source_card.md — not found in source +- source: 156b7f4c8851 / 156b7f4c8851.source_card.md — not found in source (chunk_001) +- source: 162de9e9b09e / 162de9e9b09e.source_card.md — not found in source +- source: 16448a566572 / 16448a566572.source_card.md — not found in source +- confidence: strong + +## Concept: not found in source (chunk_001) + +### Definition +In this KB, `not found in source (chunk_001)` is represented by source-backed notes around: not found in source + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- not found in source + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `not found in source (chunk_001)` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 002ccfab2527 / 002ccfab2527.source_card.md — not found in source +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Actionability: Organization should facilitate task completion, not just create an illusion of order. (chunk_001) +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 0235204a8edc / 0235204a8edc.source_card.md — not found in source +- source: 027119cd3ec7 / 027119cd3ec7.source_card.md — not found in source +- source: 0289a622670f / 0289a622670f.source_card.md — not found in source +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- source: 047131d56e3f / 047131d56e3f.source_card.md — not found in source +- source: 07fdccb2e649 / 07fdccb2e649.source_card.md — not found in source +- source: 08a478d9b588 / 08a478d9b588.source_card.md — Финансовое планирование — процесс оценки необходимого капитала и определения его конкурентоспособности (chunk_001). +- source: 094f121cf2f4 / 094f121cf2f4.source_card.md — Вольты: Контейнеры для хранения информации, доступные для определенных пользователей или групп (chunk_001). +- source: 097cedc76508 / 097cedc76508.source_card.md — not found in source +- source: 106455adc44e / 106455adc44e.source_card.md — LLM Knowledge Base / LLM Wiki: Подход к созданию базы знаний, где LLM обрабатывает исходные данные и создает структурированные вики-страницы. (chunk_001) +- source: 11a5947e430c / 11a5947e430c.source_card.md — not found in source +- source: 156b7f4c8851 / 156b7f4c8851.source_card.md — not found in source (chunk_001) +- source: 162de9e9b09e / 162de9e9b09e.source_card.md — not found in source +- source: 16ce97efff45 / 16ce97efff45.source_card.md — not found in source +- source: 17c0710bfebd / 17c0710bfebd.source_card.md — not found in source (chunk_001) +- source: 18e7b33364e5 / 18e7b33364e5.source_card.md — not found in source +- confidence: strong + +## Concept: MCP + +### Definition +In this KB, `MCP` is represented by source-backed notes around: Навыки могут использовать MCP серверы, которые могут поднимать много контекста. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Навыки могут использовать MCP серверы, которые могут поднимать много контекста. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `MCP` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Навыки могут использовать MCP серверы, которые могут поднимать много контекста. +- source: 02d44e99714a / 02d44e99714a.source_card.md — config.toml: Файл конфигурации для Codex, позволяющий настраивать различные параметры, включая добавление MCP-серверов. +- source: 1797ff4aba2f / 1797ff4aba2f.source_card.md — Сравнение протокола MCP (Model Context Protocol) и CLI (Command Line Interface) для взаимодействия агентов с удаленными серверами. +- source: 1d917a33ec0f / 1d917a33ec0f.source_card.md — MCP Servers: Инструменты, интегрируемые через CLI или конфигурационный файл. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Security of MCP servers and AI agents. +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Xcode Build MCP: Инструмент для разработки iOS-приложений, позволяющий избежать прямого использования Xcode и автоматизировать тестирование. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — MCP (Model Context Protocol): Протокол, позволяющий Cloud Code взаимодействовать с внешними сервисами и инструментами, такими как браузеры или базы данных. +- source: 3427f4f32843 / 3427f4f32843.source_card.md — Ограничивать использование MCP-инструментов (они сильно нагружают контекст). +- source: 34e7699387aa / 34e7699387aa.source_card.md — MCP (Machine Communication Protocol): Протокол для управления сервисами через Claude Code. +- source: 3bd998124969 / 3bd998124969.source_card.md — MCP (Machine Communication Protocol): Протокол для связи с внешними инструментами. chunk_001, chunk_002 +- source: 43a127fe7f68 / 43a127fe7f68.source_card.md — Детали настройки и использования MCP серверов и Cloud Agents. +- source: 4676e5fc406f / 4676e5fc406f.source_card.md — MCP (Message Communication Protocol): Протокол для подключения внешних инструментов и сервисов к агенту. +- source: 590111c507a0 / 590111c507a0.source_card.md — Detailed explanation of "ChatKit client tools" or "MCP servers". chunk_002 +- source: 596f9db85892 / 596f9db85892.source_card.md — MCP (Multi-tool Control Protocol): Инструменты, которые могут быть интегрированы с Codex CLI для расширения его функциональности. chunk_007 +- source: 6383e056dbcb / 6383e056dbcb.source_card.md — Model Context Protocol (MCP) и его применение в N8N для упрощения интеграции ИИ-агентов с внешними сервисами. +- source: 6928276ccc75 / 6928276ccc75.source_card.md — MCP-серверы: Инструменты, расширяющие функциональность Cloud Code, подключаемые к внешним сервисам (GitHub, Context 7, Playwright). +- source: 6bef663f3da0 / 6bef663f3da0.source_card.md — Configuration (`config.toml`): Файл конфигурации для настройки поведения Codex, включая профили, MCP-серверы и режимы песочницы. +- source: 6e795257aa3a / 6e795257aa3a.source_card.md — * MCP Tools (Multi-Protocol Tools): Инструменты для подключения к различным сервисам и платформам. +- source: 6fa35d992f1a / 6fa35d992f1a.source_card.md — Безопасность архитектуры Model Context Protocol (MCP) для агентских систем. +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — MCP (Multi-Channel Processing): A system for integrating external tools like Slack, BigQuery, or Sentry. +- confidence: strong + +## Concept: Review Status + +### Definition +In this KB, `Review Status` is represented by source-backed notes around: Команды настройки: `/permission` для управления доступом, `/model` для выбора модели (рекомендуется `medium` для баланса цены и скорости), `/plan` для планирования задач, `/review` для проверки изменений, `/status` для просмотра использования токенов, `/compact` для суммаризации + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Команды настройки: `/permission` для управления доступом, `/model` для выбора модели (рекомендуется `medium` для баланса цены и скорости), `/plan` для планирования задач, `/review` для проверки изменений, `/status` для просмотра использования токенов, `/compact` для суммаризации + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Review Status` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 2b3eaf757caf / 2b3eaf757caf.source_card.md — Команды настройки: `/permission` для управления доступом, `/model` для выбора модели (рекомендуется `medium` для баланса цены и скорости), `/plan` для планирования задач, `/review` для проверки изменений, `/status` для просмотра использования токенов, `/compact` для суммаризации +- source: 58ee17c5494a / 58ee17c5494a.source_card.md — Weekly Planning: Reviewing and scheduling tasks for the upcoming week. +- source: b0ec8de38c39 / b0ec8de38c39.source_card.md — Weekly Review System: Система для еженедельного обзора задач и проектов. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Agent Orchestration: Utilizing multiple AI agents with distinct roles (e.g., architect, implementer, reviewer) to collaborate in the software development process. +- source: 2b3eaf757caf / 2b3eaf757caf.clean.md — Важные команды: `/permission`, `/model`, `/plan`, `/review`, `/status`, `/compact`. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. +- source: 010057ac4ed1 / 010057ac4ed1.source_card.md — Команда `status`: Позволяет проверить конфигурацию сессии и использование токенов. +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 0937003ca29f / 0937003ca29f.source_card.md — Reflection and Strategic Simplification: The notebook can facilitate deep reflection, emotional processing, and strategic simplification, such as using frameworks like Tiago Forte's annual review. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — Claude Code Review: Автоматическая проверка кода с возможностью фильтрации по разработчикам и настройки промптов. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Code Review: Функция для проверки кода, предоставления комментариев и внесения предложений по улучшению. +- source: 1ab3cfca4b54 / 1ab3cfca4b54.source_card.md — The importance of the weekly review in the Getting Things Done (GTD) methodology for maintaining a clean and current system, with a focus on starting with the calendar and waiting-for list for beginners. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Regular Audits: Periodically reviewing MCP configurations, tools, and privileges. +- source: 205904a12467 / 205904a12467.source_card.md — Light version: A brief weekly planning session (20-30 minutes) focused on clearing the task manager inbox, organizing notes, and reviewing active projects. (clean_note, chunk_001) +- source: 249e4828d393 / 249e4828d393.source_card.md — The exact process of using Logseq's status field or properties for archives. +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — AI Code Review Systems (Reptile): Системы для автоматической проверки кода (pull requests), помогающие разработчикам-одиночкам. +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Review Notes +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — Source card generation failed and requires human review (chunk_001). +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Review Notes: not found in source +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Human-in-the-Loop Workflow: Use human review to validate AI outputs, provide ground truth for datasets, and refine LLM-as-a-Judge criteria. +- confidence: strong + +## Concept: Skills + +### Definition +In this KB, `Skills` is represented by source-backed notes around: Откройте Codex и используйте команду `/skills` для просмотра доступных навыков. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Откройте Codex и используйте команду `/skills` для просмотра доступных навыков. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Skills` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Откройте Codex и используйте команду `/skills` для просмотра доступных навыков. +- source: 07dded635426 / 07dded635426.source_card.md — Users can leverage their existing skills and commands within Archon workflows. +- source: 07e05ae2c6cf / 07e05ae2c6cf.source_card.md — Конкретные примеры использования "sub agents" и "skills" в плагинах. chunk_003 +- source: 1797ff4aba2f / 1797ff4aba2f.source_card.md — Автоматизация генерации файлов навыков: Команды типа `SkillsGenerate` могут автоматически генерировать файлы навыков для агентов на основе определений инструментов сервера. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Skills: Пользовательские функции или рабочие процессы, которые можно создавать и использовать для автоматизации задач. +- source: 279508ae9087 / 279508ae9087.source_card.md — Skills: Механизм, позволяющий предоставлять агентам не только инструкции, но и ресурсы (файлы, шаблоны, скрипты) для выполнения задач. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Скиллы (Skills): Автоматизация рутинных задач с помощью текстовых инструкций, которые AI может выполнять. +- source: 2b3eaf757caf / 2b3eaf757caf.source_card.md — Навыки (Skills): Дополнительные модули для расширения функциональности Codex, устанавливаются через `$SkillInstaller` и хранятся в `.codex/skills`. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Skills: Reusable sets of instructions for Claude to perform specific tasks. +- source: 3926ee9efdc4 / 3926ee9efdc4.source_card.md — Skills: Автоматизированные сценарии для Cloud Code. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Plugins: Extend Claude Code's capabilities with custom commands or skills. +- source: 3bd998124969 / 3bd998124969.source_card.md — Создание "второго мозга" с использованием Claude Code, Obsidian и Skills. +- source: 4156d7465edc / 4156d7465edc.source_card.md — not found in source +- source: 43a127fe7f68 / 43a127fe7f68.source_card.md — Skills: Навыки для расширения функциональности Codex. +- source: 440198d9e701 / 440198d9e701.source_card.md — Навыки (Skills): Инструкции для специфических типов работ, которые обеспечивают повторяемость и консистентность выполнения задач. Co-Work поставляется со встроенными навыками для распространенных файлов (Excel, PowerPoint, Word, PDF), а также поддерживает пользовательские навыки. +- source: 4676e5fc406f / 4676e5fc406f.source_card.md — Создание навыков: Определение повторяемых инструкций в папке `skills`, которые агент может вызывать самостоятельно. +- source: 500232e9fdf4 / 500232e9fdf4.source_card.md — Kodak Skills для автоматизации повторяющихся задач. +- source: 5230e12a162c / 5230e12a162c.source_card.md — When building agentic workflows, ensure each component (prompts, sub-agents, skills) can validate its work. +- source: 6928276ccc75 / 6928276ccc75.source_card.md — Skills (Навыки): Автоматизация повторяющихся задач с помощью markdown-файлов, вызываемых через команды. +- source: 6e795257aa3a / 6e795257aa3a.source_card.md — * Skills: Специализированные рабочие процессы, обученные для выполнения конкретных задач. +- confidence: strong + +## Concept: Key Points + +### Definition +In this KB, `Key Points` is represented by source-backed notes around: Secret Key: Уникальный ключ, используемый вместе с паролем для аутентификации в 1Password. chunk_001 + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Secret Key: Уникальный ключ, используемый вместе с паролем для аутентификации в 1Password. chunk_001 + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Key Points` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 0aaa88ac375b / 0aaa88ac375b.source_card.md — Secret Key: Уникальный ключ, используемый вместе с паролем для аутентификации в 1Password. chunk_001 +- source: 145a07b7d3c5 / 145a07b7d3c5.source_card.md — Добавление и использование Passkeys в 1Password. +- source: 1a2ef33722e9 / 1a2ef33722e9.source_card.md — Emergency Kit: A set of data required to recover access to a 1Password account without password resets. It includes the account password, secret keys, and a recovery code. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Scanning for Suspicious Endpoints: Proactively scan MCP servers for unauthorized or suspicious connections. +- source: 24744f3c666f / 24744f3c666f.source_card.md — Выбрать метод аутентификации: "Sign in with ChatDBT" или "Use API key". +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture key insights rather than all information. +- source: 292698ab825e / 292698ab825e.source_card.md — Дизайн системы: Процесс определения ключевых точек (waypoints) для достижения цели от начала до конца. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Setup: Configure theme and login method (subscription or API key). +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Initial Search: Performing an initial search (vector, full-text, etc.) to find entry points in the graph. chunk_003 +- source: 590111c507a0 / 590111c507a0.source_card.md — Embedding an Agent: Use ChatKit or the Agent SDK. For ChatKit, obtain the Webflow ID and API key, and integrate the provided code into an application. chunk_002 +- source: 6e8bdf5c115f / 6e8bdf5c115f.source_card.md — Budget variance analysis is a key tool for financial professionals to monitor and improve financial performance by comparing actual financial performance with budgeted figures to identify favorable or adverse variances. +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Passkeys: Cryptographic keys used for authentication, making phishing attacks virtually impossible. , +- source: 9274cd04e75c / 9274cd04e75c.source_card.md — not found in source +- source: 97c5fbf34e51 / 97c5fbf34e51.source_card.md — Экспорт API ключа как переменной окружения (для macOS/Linux: `export OPENAI_API_KEY="your_key"`; для Windows: `set OPENAI_API_KEY="your_key"`). +- source: 985e1ca4a8bf / 985e1ca4a8bf.source_card.md — Добавить минимальный поддерживающий текст в bullet points (chunk_001). +- source: a16496b9b0d1 / a16496b9b0d1.source_card.md — * AutoHotKey: Инструмент для автоматизации задач на компьютере. +- source: a337f5f20c6b / a337f5f20c6b.source_card.md — Ключи обратной связи (Feedback Keys): Настраиваемые метрики, по которым оценивается диалог (например, `user_sentiment` с обоснованием). +- source: a7b18750d454 / a7b18750d454.source_card.md — Token generation speed as a key performance metric. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — More agents, more autonomy, and more compute do not always guarantee better outcomes; organized agents that communicate are key. +- confidence: strong + +## Concept: Claude Code + +### Definition +In this KB, `Claude Code` is represented by source-backed notes around: Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Claude Code` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 07dded635426 / 07dded635426.source_card.md — Dark Factory: A codebase entirely managed by AI coding agents with minimal human intervention, aiming for fully automated software development. +- source: 07e05ae2c6cf / 07e05ae2c6cf.source_card.md — Автономная работа Claude Code в течение длительного времени с использованием стоп-хуков. +- source: 106455adc44e / 106455adc44e.source_card.md — Создание LLM-базы знаний в Obsidian с использованием Claude Code. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — Интеграция Claude Code с GitHub Actions для автоматизации код-ревью и обработки задач. +- source: 223e3762e3ea / 223e3762e3ea.source_card.md — Управление Claude Code через Telegram-бота с помощью Claude Channels. +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Xcode Build MCP: Инструмент для разработки iOS-приложений, позволяющий избежать прямого использования Xcode и автоматизировать тестирование. +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — Kiro: Инструмент, который использовался ранее в проекте, но планируется переход на Cloud Code. +- source: 279508ae9087 / 279508ae9087.source_card.md — Cloud Code SDK: Инструмент, упрощающий создание агентов, предоставляя готовые инструменты и возможности для расширения. +- source: 29732876f890 / 29732876f890.source_card.md — Auto Mode в Claude Code +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Cloud Code — это инструмент от Anthropic, предназначенный для автоматизации задач, разработки и управления проектами с помощью AI-ассистента. +- source: 3427f4f32843 / 3427f4f32843.source_card.md — Использовать команду `/context` в Claude Code для проверки текущего заполнения контекста. , +- source: 34e7699387aa / 34e7699387aa.source_card.md — Claude Code — это ИИ-агент от компании Anthropic, работающий на компьютере пользователя для автоматизации задач, создания файлов, написания кода, работы в терминале и интеграции с сервисами. Инструмент не требует знания программирования и предназначен для повышения личной эффекти +- source: 3926ee9efdc4 / 3926ee9efdc4.source_card.md — Создание "второго мозга" с использованием Obsidian и Cloud Code. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Claude Code: A comprehensive tutorial on using Claude Code, an AI-powered coding agent, for application development. +- source: 3bd998124969 / 3bd998124969.source_card.md — Создание "второго мозга" с использованием Claude Code, Obsidian и Skills. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic engineering and the implementation of specialized self-validating agents using Cloud Code. +- source: 6928276ccc75 / 6928276ccc75.source_card.md — Продвинутые возможности Cloud Code для повышения продуктивности. +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Workflow for using Claude Code effectively. +- source: 72cdbd98fd86 / 72cdbd98fd86.source_card.md — Использование NotebookLM и Clock Code для анализа конкурентов, принятия продуктовых решений и улучшения продаж. +- confidence: strong + +## Concept: Docker + +### Definition +In this KB, `Docker` is represented by source-backed notes around: MCP Server Verification: Using Docker MCP Toolkit or creating a private registry to verify MCP servers. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- MCP Server Verification: Using Docker MCP Toolkit or creating a private registry to verify MCP servers. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Docker` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — MCP Server Verification: Using Docker MCP Toolkit or creating a private registry to verify MCP servers. +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — Установка LightRAG на сервер: Развертывание LightRAG с использованием Docker, настройка файла окружения (`.env`) и запуск сервиса. +- source: 2a64e6372d59 / 2a64e6372d59.source_card.md — Сравнение скорости работы Ollama на хост-машине и внутри Docker на Windows. +- source: 39466d759b5a / 39466d759b5a.source_card.md — Для работы с Quadrant требуется Docker. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Docker Dependency: Docker Desktop is required for setting up the PostgreSQL database. +- source: 6383e056dbcb / 6383e056dbcb.source_card.md — Docker: Технология контейнеризации, используемая для развертывания и запуска MCP серверов. +- source: 64a0bd159466 / 64a0bd159466.source_card.md — Установка и использование Ollama в Docker-контейнерах, включая настройку NVIDIA CUDA GPU поддержки, управление образами и контейнерами, а также загрузку и установку больших языковых моделей. +- source: 70c39ad1988b / 70c39ad1988b.source_card.md — Установите контейнерный тулкит и Docker-энжин (chunk_001) +- source: 8d992ca1a53a / 8d992ca1a53a.source_card.md — not found in source +- source: a209de643f12 / a209de643f12.source_card.md — При установке KEG на сервер следует следовать инструкциям по настройке firewall и Docker. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Docker: A containerization platform used for deploying the WebUI. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Docker Image: A lightweight, standalone, executable package that includes everything needed to run a piece of software, including the code, runtime, system tools, system libraries, and settings. chunk_007 +- source: e23973f72f18 / e23973f72f18.source_card.md — OpenWebUI: Веб-интерфейс для чата, который работает как Docker-контейнер и взаимодействует с Ollama. Предоставляет удобный пользовательский интерфейс для общения с LLM. , +- source: 002ccfab2527 / 002ccfab2527.clean.md — Docker: Контейнерная платформа для развертывания приложений. +- source: 0235204a8edc / 0235204a8edc.clean.md — Docker: Контейнерная платформа для развертывания n8n. +- source: 097cedc76508 / 097cedc76508.clean.md — Разделение контейнеров Docker для OpenWebUI и Ollama. +- source: 2167d88e7b28 / 2167d88e7b28.clean.md — Установка и настройка LightRAG на сервере требует знаний в области DevOps и работы с Docker. +- source: 2a64e6372d59 / 2a64e6372d59.clean.md — Docker: контейнеризация приложений. +- source: 3951e9bce9a7 / 3951e9bce9a7.clean.md — Docker Compose: Инструмент для управления многоконтейнерными приложениями через YAML-файл. +- source: 39c554b0db89 / 39c554b0db89.clean.md — Создание нового проекта и настройка базы данных (PostgreSQL с Docker). +- confidence: strong + +## Concept: Codex CLI + +### Definition +In this KB, `Codex CLI` is represented by source-backed notes around: Установка и основы использования Codex CLI. + +### Why it matters +This concept is useful when organizing KB retrieval, operational workflows, or AI/analytics work. Confidence: strong. + +### Source-backed facts +- Установка и основы использования Codex CLI. + +### Interpretation +- Use this as a working synthesis only where the evidence list supports it. + +### Operational use +- Use `Codex CLI` as a retrieval, planning, QA, or workflow label when matching project material to source-backed evidence. + +### Related concepts +- Traceability +- Knowledge Organization +- Operational Framework + +### Anti-patterns +- Inventing definitions where source says not found. +- Treating weak evidence as a finished concept. + +### Limitations +- Evidence may be uneven across sources. +- Weak or unsupported concepts remain blocked until automated review queue and retrieval QA clear them. + +### Evidence +- source: 010057ac4ed1 / 010057ac4ed1.source_card.md — Установка и основы использования Codex CLI. +- source: 1d917a33ec0f / 1d917a33ec0f.source_card.md — Использование OpenAI Codex для автоматизации разработки программного обеспечения. +- source: 2568bd3afe63 / 2568bd3afe63.source_card.md — CLI (Command Line Interface): Интерфейс командной строки для взаимодействия с Shards. +- source: 2b3eaf757caf / 2b3eaf757caf.source_card.md — Codex CLI — инструмент для автоматизации задач, включая написание, проверку и оптимизацию кода, работу с изображениями и браузером. +- source: 43a127fe7f68 / 43a127fe7f68.source_card.md — Курс "From Zero to Deployed App" обучает использованию Codex для создания и развертывания приложений с нуля. +- source: 4648229aced7 / 4648229aced7.source_card.md — Установка и использование Codex CLI на Windows 11. +- source: 500232e9fdf4 / 500232e9fdf4.source_card.md — Прогрессивная дисклозия: механизм, при котором Codex сначала загружает только имя и описание навыка, а полный контент — по запросу, для экономии токенов. +- source: 596f9db85892 / 596f9db85892.source_card.md — Использование Codex CLI для кодирования в терминале. +- source: 6bef663f3da0 / 6bef663f3da0.source_card.md — Codex — это кодовый агент OpenAI, предназначенный для автоматизации рутинных задач программирования, позволяя разработчикам сосредоточиться на более сложных аспектах проектирования и архитектуры программного обеспечения. +- source: 6e795257aa3a / 6e795257aa3a.source_card.md — Codex - это продвинутый инструмент ИИ, предназначенный для помощи в широком спектре задач, от написания кода и управления проектами до создания и управления навыками и агентами. +- source: 82c596818799 / 82c596818799.source_card.md — Codex от OpenAI — это AI-ассистент для кодирования, доступный пользователям ChatGPT Plus/Pro. +- source: 8fdbda424c0f / 8fdbda424c0f.source_card.md — Настройка и оптимизация Codex CLI для пользователей, переходящих с Claude Code. +- source: 9f00141f3083 / 9f00141f3083.source_card.md — Автоматизированное код-ревью с использованием OpenAI Codex. +- source: a191c67d1422 / a191c67d1422.source_card.md — OpenAI Codex: AI-инженер для разработки программного обеспечения. +- source: d2a2f76027de / d2a2f76027de.source_card.md — Web Clipper: расширение для браузера для сохранения веб-статей в формате markdown. +- source: d44791dedd68 / d44791dedd68.source_card.md — Использование OpenAI Codex через веб-интерфейс для анализа, исправления кода и интеграции с GitHub. +- source: e955aeab714e / e955aeab714e.source_card.md — Оптимизация рабочего процесса с использованием Codex CLI. +- source: ea135e5d7ba6 / ea135e5d7ba6.source_card.md — Codex CLI — инструмент для работы с кодом, недавно обновленный с улучшенным UI, моделью и возможностью логиниться через ChatGPT-план. Поддерживает сандбокс-режим для безопасности, настраиваемые профили и интеграцию с MCP-серверами. Сравнивается с Claude Code, но уступает в функци +- source: eaca5f701b35 / eaca5f701b35.source_card.md — OpenAI Codex — это AI-агент для кодирования, доступный по подписке ChatGPT Plus, Pro или Business. +- source: 010057ac4ed1 / 010057ac4ed1.clean.md — Токены ограничения: Лимиты использования Codex (5-часовое и недельное ограничение). +- confidence: strong diff --git a/publish/chatgpt_project_compact_general/KB__06_OPERATIONAL_FRAMEWORKS.md b/publish/chatgpt_project_compact_general/KB__06_OPERATIONAL_FRAMEWORKS.md new file mode 100644 index 0000000..ea0c543 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__06_OPERATIONAL_FRAMEWORKS.md @@ -0,0 +1,712 @@ +# Operational Frameworks + +## Framework: Source-to-KB Pipeline + +### Purpose +Provide a reusable operating sequence for `Source-to-KB Pipeline` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `Source-to-KB Pipeline` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Inventory source files. +2. Create chunks. +3. Create clean notes. +4. Create source cards. +5. Build KB outputs. +6. Run QA and publish. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 917028de5eb3 / 917028de5eb3.source_card.md — Empirical is an open-source library and UI tool designed to help developers evaluate and test Large Language Models (LLMs). It allows for the comparison of different LLMs and versions, ensuring performance and identifying regressions. +- source: a209de643f12 / a209de643f12.source_card.md — Детали работы "Thinker Pipeline" и его отличие от "Deep Reasoning" при использовании пользовательских LLM. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — TeamCity Evaluation Pipeline: +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Agent pipeline: +- source: 002ccfab2527 / 002ccfab2527.source_card.md — not found in source +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Resources: A curated library of useful materials, inspiration, research, and learning artifacts that can be referenced or recombined. (chunk_001) +- source: 010057ac4ed1 / 010057ac4ed1.source_card.md — Установка и основы использования Codex CLI. +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Поддержка агентских навыков в Codex. +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 0235204a8edc / 0235204a8edc.source_card.md — not found in source +- source: 027119cd3ec7 / 027119cd3ec7.source_card.md — not found in source +- source: 0289a622670f / 0289a622670f.source_card.md — not found in source +- source: 02d44e99714a / 02d44e99714a.source_card.md — Введение в использование Codex в Visual Studio Code для разработки программного обеспечения. +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- source: 047131d56e3f / 047131d56e3f.source_card.md — not found in source +- confidence: strong + +## Framework: ChatGPT Project Upload Workflow + +### Purpose +Provide a reusable operating sequence for `ChatGPT Project Upload Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `ChatGPT Project Upload Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Build compact package. +2. Upload compact files. +3. Start with the index. +4. Run smoke questions. +5. Record retrieval gaps. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 06e822f5f136 / 06e822f5f136.source_card.md — ChatGPT Agent Mode +- source: 42f95d1fde52 / 42f95d1fde52.source_card.md — Интеграция Custom GPT и ChatGPT Projects для оптимизации рабочих процессов, улучшения организации и повышения продуктивности при работе с исследовательскими проектами. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.clean.md — Break large projects into smaller parts (e.g., outline first, then draft sections). +- source: 42f95d1fde52 / 42f95d1fde52.clean.md — ChatGPT Projects: Центральное место для хранения и организации исследовательских материалов. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/security_workflow.md +- source: WORKFLOW_MAP / WORKFLOW_MAP.md — Source file references this area: WORKFLOW_MAP.md +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 249e4828d393 / 249e4828d393.source_card.md — PARA Method (Projects, Areas, Resources, Archives): A framework for organizing information. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.source_card.md — Использование ChatGPT как AI-партнера для ускорения процесса написания, включая планирование, drafting, ревизию и упаковку. +- source: 445c8146740b / 445c8146740b.source_card.md — Фреймворк CTC (Context-Task-Constraints) для улучшения взаимодействия с AI. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Configure the agent to execute the validator script, passing necessary context like the project directory path. +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Стоимость ChatGPT Pro ($200 в месяц) может быть высокой для многих пользователей, и ее оправданность зависит от объема вычислительных задач ИИ, выполняемых в течение месяца. +- source: 6928276ccc75 / 6928276ccc75.source_card.md — Scope: Уровень доступа для конфигураций MCP-серверов и навыков (local, project, user). +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Workflow for using Claude Code effectively. +- source: 7f80fa85bc09 / 7f80fa85bc09.source_card.md — Проекты в ChatGPT +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — AIDR Architect Mode Workflow: +- source: ba368b310971 / ba368b310971.source_card.md — AI Copilots: ИИ-помощники, предназначенные для поддержки продакт-менеджеров в различных задачах. Примеры включают высококонтекстные LLM (например, Claude Projects), десктопные контекстные ассистенты (например, Clue.ly) и соло-контекстные LLM (например, Notebook LLM). +- source: ce75e2729317 / ce75e2729317.source_card.md — Организация рабочего пространства AI с помощью Claude Projects. +- confidence: strong + +## Framework: Consumer QA Workflow + +### Purpose +Provide a reusable operating sequence for `Consumer QA Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `Consumer QA Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Select smoke questions. +2. Ask against uploaded KB. +3. Check source grounding. +4. Record pass/fail. +5. Revise package when needed. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture Workflow: +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Ускорение разработки приложений с помощью AI-инструментов и автоматизации. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 2aa9b790dd93 / 2aa9b790dd93.source_card.md — Сравнение Kestra и Apache Airflow как инструментов для оркестровки workflow, их подходов, применения и подходящих сценариев использования. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.source_card.md — Использование ChatGPT как AI-партнера для ускорения процесса написания, включая планирование, drafting, ревизию и упаковку. +- source: 42f95d1fde52 / 42f95d1fde52.source_card.md — Интеграция Custom GPT и ChatGPT Projects для оптимизации рабочих процессов, улучшения организации и повышения продуктивности при работе с исследовательскими проектами. +- source: 445c8146740b / 445c8146740b.source_card.md — Фреймворк CTC (Context-Task-Constraints) для улучшения взаимодействия с AI. +- source: 5230e12a162c / 5230e12a162c.source_card.md — When building agentic workflows, ensure each component (prompts, sub-agents, skills) can validate its work. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Procedures / Workflow (detailed steps beyond the high-level phases): not found in source +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Procedures / Workflow (в явном виде не описаны, только примеры использования) +- source: 6928276ccc75 / 6928276ccc75.source_card.md — Субагенты могут усложнить workflow при необоснованном создании. +- confidence: strong + +## Framework: Traceability Check Workflow + +### Purpose +Provide a reusable operating sequence for `Traceability Check Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `Traceability Check Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Find answer claim. +2. Locate source evidence. +3. Check source identifier. +4. Flag unsupported claims. +5. Record confidence. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Offline Evaluations: Predefined datasets and scores used for initial testing and consistency checks during development. +- source: 5230e12a162c / 5230e12a162c.source_card.md — The validator script checks the output or state of the operation (e.g., CSV format correctness). +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Workflow for using Claude Code effectively. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Git Worktrees: Separate checkouts of a repository allowing parallel work without interference. +- source: 917028de5eb3 / 917028de5eb3.source_card.md — * Scorers: Evaluation metrics used to assess the LLM's output. These can be built-in (e.g., JSON syntax check) or custom Python scripts. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — AI Developer Workflows (ADWs): Structured processes for developing with AI agents. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Deterministic Guardrails: Mechanisms like running tests, type checks, and contract verifications to ensure AI outputs adhere to project standards. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.clean.md — Always fact-check the AI's output for accuracy. +- source: d68c7e17457b / d68c7e17457b.clean.md — Skills: Playbooks в Markdown для многозадачных workflows (рефакторинг, релизы, performance investigations). +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Projects: Contain active tasks, documents, checklists, and drafts that are repeatedly touched. Projects are closed decisively when done. (chunk_001) +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Verifying MCP Server Sources: Always check official sources and use verified registries. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture Workflow: +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Ускорение разработки приложений с помощью AI-инструментов и автоматизации. +- confidence: strong + +## Framework: Concept Synthesis Workflow + +### Purpose +Provide a reusable operating sequence for `Concept Synthesis Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `Concept Synthesis Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Collect candidate concepts. +2. Match evidence. +3. Draft deterministic skeleton. +4. Mark weak evidence. +5. Write unresolved items to review queue. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Core Four: Foundational concepts in agentic systems, implying that abstractions often boil down to prompts that run within an agent's context model. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Procedures / Workflow (detailed steps beyond the high-level phases): not found in source +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Procedures / Workflow (в явном виде не описаны, только примеры использования) +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Workflow for using Claude Code effectively. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Concepts: not found in source +- source: c5ee81b6203d / c5ee81b6203d.source_card.md — Approval workflow: Запрос на покупку проходит внутренний рабочий процесс утверждения. (chunk_001) +- source: cde291adf7e0 / cde291adf7e0.source_card.md — * Procedures / Workflow: not found in source +- source: c5ee81b6203d / c5ee81b6203d.clean.md — Purchase request → approval workflow. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 1ab3cfca4b54 / 1ab3cfca4b54.source_card.md — Threefold Nature of Work: The concept of allocating time in one's schedule for active work, clarifying/organizing tasks, and handling unexpected events. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — The specific commands or techniques for privilege escalation beyond the general concept. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- confidence: strong + +## Framework: Open WebUI Retrieval Workflow + +### Purpose +Provide a reusable operating sequence for `Open WebUI Retrieval Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `Open WebUI Retrieval Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Retrieve chunks in Open WebUI. +2. Copy retrieved excerpts. +3. Ask ChatGPT to synthesize from excerpts. +4. Check evidence. +5. Update notes. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — GraphRAG (Graph Retrieval-Augmented Generation) +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — GraphRAG (Graph Retrieval Augmented Generation) как продвинутый метод генерации текста, использующий графовые базы данных для более точного и контекстно-зависимого поиска информации по сравнению с традиционным RAG. +- source: 249e4828d393 / 249e4828d393.source_card.md — Organize: Structuring information for retrieval. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 2a64e6372d59 / 2a64e6372d59.source_card.md — OpenWebUI: интерфейс для тестирования производительности. +- source: 39466d759b5a / 39466d759b5a.source_card.md — RAG (Retrieval Augmented Generation): Технология, которая дополняет генерацию ответов языковой моделью (LLM) путем извлечения релевантной информации из внешних источников данных. +- source: 3951e9bce9a7 / 3951e9bce9a7.source_card.md — not found in source +- source: 5501b047b7bf / 5501b047b7bf.source_card.md — not found in source +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Procedures / Workflow (в явном виде не описаны, только примеры использования) +- source: 71e059fdc87a / 71e059fdc87a.source_card.md — Workflow еженедельного обзора в Obsidian с использованием метода "плюс-минус-следующий" и кастомного шортката. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — The new implementation supports multi-repo setups, creating worktrees for each repo and opening separate PRs. +- source: 72cdbd98fd86 / 72cdbd98fd86.source_card.md — Все функции, доступные в WebUI NotebookLM, доступны через CLI. +- source: 8255faf11758 / 8255faf11758.source_card.md — RAG (Retrieval-Augmented Generation): Механизм, позволяющий агенту искать информацию в проиндексированных данных (например, в SQLite-базе ежедневных логов). +- source: 917028de5eb3 / 917028de5eb3.source_card.md — Empirical is an open-source library and UI tool designed to help developers evaluate and test Large Language Models (LLMs). It allows for the comparison of different LLMs and versions, ensuring performance and identifying regressions. +- source: 9a8c2c027b91 / 9a8c2c027b91.source_card.md — Skills — это единый стандарт автоматизации задач, применимый к любым инструментам (AI-агентам, код-кодам, OpenClaw и др.), позволяющий увеличить продуктивность в 10-15 раз. +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — RAG (Retrieval-Augmented Generation): Система, объединяющая поиск информации и генерацию текста. +- source: a209de643f12 / a209de643f12.source_card.md — KEG Builder: Компонент, отвечающий за построение графа знаний. Он включает семантическое деление текста на чанки, извлечение сущностей и отношений с помощью OpenIE, согласование знаний (устранение дубликатов, понимание синонимов), добавление описаний и резюме для сущностей, а так +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — AI Developer Workflows (ADWs): Structured processes for developing with AI agents. +- confidence: strong + +## Framework: ChatGPT + Open WebUI + Codex Workflow + +### Purpose +Provide a reusable operating sequence for `ChatGPT + Open WebUI + Codex Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `ChatGPT + Open WebUI + Codex Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Retrieve evidence. +2. Synthesize task brief. +3. Write SPEC/plan/tasks. +4. Run Codex implementation. +5. Validate outputs. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 02d44e99714a / 02d44e99714a.source_card.md — Введение в использование Codex в Visual Studio Code для разработки программного обеспечения. +- source: 36441a0ec2a9 / 36441a0ec2a9.source_card.md — Установка и настройка OpenAI Codex в Visual Studio Code. +- source: 4648229aced7 / 4648229aced7.source_card.md — Установка и использование Codex CLI на Windows 11. +- source: 63e0f5bfd758 / 63e0f5bfd758.source_card.md — * Стоимость ChatGPT Pro ($200 в месяц) может быть высокой для многих пользователей, и ее оправданность зависит от объема вычислительных задач ИИ, выполняемых в течение месяца. +- source: 6e795257aa3a / 6e795257aa3a.source_card.md — Codex - это продвинутый инструмент ИИ, предназначенный для помощи в широком спектре задач, от написания кода и управления проектами до создания и управления навыками и агентами. +- source: 82c596818799 / 82c596818799.source_card.md — Codex от OpenAI — это AI-ассистент для кодирования, доступный пользователям ChatGPT Plus/Pro. +- source: a191c67d1422 / a191c67d1422.source_card.md — OpenAI Codex: AI-инженер для разработки программного обеспечения. +- source: d44791dedd68 / d44791dedd68.source_card.md — Использование OpenAI Codex через веб-интерфейс для анализа, исправления кода и интеграции с GitHub. +- source: e5811495284c / e5811495284c.source_card.md — Интеграция OpenAI Codex в VS Code для генерации кода. +- source: ea135e5d7ba6 / ea135e5d7ba6.source_card.md — Codex CLI — инструмент для работы с кодом, недавно обновленный с улучшенным UI, моделью и возможностью логиниться через ChatGPT-план. Поддерживает сандбокс-режим для безопасности, настраиваемые профили и интеграцию с MCP-серверами. Сравнивается с Claude Code, но уступает в функци +- source: eaca5f701b35 / eaca5f701b35.source_card.md — OpenAI Codex — это AI-агент для кодирования, доступный по подписке ChatGPT Plus, Pro или Business. +- source: 013153410460 / 013153410460.clean.md — Chain-of-Thought Workflows: Sequential prompting for complex tasks. +- source: 07fdccb2e649 / 07fdccb2e649.clean.md — N8N: Платформа для автоматизации workflow’ов с поддержкой модулей (агентов). +- source: 1aac8f288c90 / 1aac8f288c90.clean.md — Skills: Навыки, которые можно создавать и использовать для автоматизации workflow. +- source: 36441a0ec2a9 / 36441a0ec2a9.clean.md — Авторизация через ChatGPT. +- source: 3951e9bce9a7 / 3951e9bce9a7.clean.md — Порт 11434 используется для API, который OpenWebUI будет использовать для взаимодействия с моделями. +- source: 4648229aced7 / 4648229aced7.clean.md — Codex CLI: инструмент OpenAI для генерации кода на основе ChatGPT. +- source: 6bef663f3da0 / 6bef663f3da0.clean.md — AgentsMD: Файл для предоставления контекста Codex о проекте. +- source: 82c596818799 / 82c596818799.clean.md — Codex IDE: Расширение для VS Code, Cursor, WindSurf с чат-панелью для взаимодействия с AI. +- source: cce49e7a3921 / cce49e7a3921.clean.md — Codex: AI-кодинговая аппликация от OpenAI. +- confidence: strong + +## Framework: AI OS Knowledge Loop + +### Purpose +Provide a reusable operating sequence for `AI OS Knowledge Loop` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `AI OS Knowledge Loop` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Capture source. +2. Distill knowledge. +3. Package for retrieval. +4. Use in workflows. +5. Review and improve. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Incorporating Specialized Knowledge: Use external services or specialized roles within BrainTrust for annotations in industries requiring specific expertise. +- source: 64d02db90f0f / 64d02db90f0f.clean.md — Generation-Verification Loop: A workflow where LLMs generate outputs, and humans verify and refine them. +- source: 07dded635426 / 07dded635426.source_card.md — PIV Loop (Plan, Implement, Validate): A workflow methodology that can be packaged into Archon. +- source: 07e05ae2c6cf / 07e05ae2c6cf.source_card.md — Цикл Ральфа Виггама (Ralph Wiggum Loop): Механизм, который позволяет Claude Code непрерывно работать над задачей до ее завершения или достижения максимального количества итераций. chunk_002 +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 106455adc44e / 106455adc44e.source_card.md — LLM Knowledge Base / LLM Wiki: Подход к созданию базы знаний, где LLM обрабатывает исходные данные и создает структурированные вики-страницы. (chunk_001) +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Implementing Human-in-the-Loop: Require manual approval for MCP tool version updates. +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — Информация о Knowledge-Segmented Generation (KSG) и его сравнение с GraphRAG. +- source: 249e4828d393 / 249e4828d393.source_card.md — Reference material can be stored in file storage, note-taking apps, or knowledge bases. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — do not promote this source as supported knowledge until it is reviewed (chunk_001) +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Loop Commands: Schedule prompts to run at fixed intervals for tasks like UI review and fixing. +- source: 47f562389e99 / 47f562389e99.source_card.md — База знаний (Knowledge Base): Структурированное хранилище информации, используемое AI-агентом. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Retrieval-Augmented Generation (RAG): A technique that augments LLM input with relevant information retrieved from a knowledge base to improve response quality. chunk_001 +- source: 576536aea528 / 576536aea528.source_card.md — Открытые шаги (Open loops): Ментальные вкладки, которые загромождают мышление и отвлекают от действий. +- source: 590111c507a0 / 590111c507a0.source_card.md — Common Expression Language (CEL): Used for defining expressions within nodes, particularly in loops. chunk_004 +- source: 632bc5cf84a6 / 632bc5cf84a6.source_card.md — Human-in-the-Loop: Вовлечение человека в процесс разработки и оценки AI-систем. +- source: 6e795257aa3a / 6e795257aa3a.source_card.md — * Agentic Loop: Процесс, включающий ввод промпта, инференс модели, рассуждение и вызовы инструментов. +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Creating Slash Commands: Defining custom commands for repetitive inner-loop workflows, stored in `.clod-commands`. +- source: 7ac4b0ccf1ab / 7ac4b0ccf1ab.source_card.md — Поддерживаются логические узлы, такие как if-else и while, а также циклы типа loop over items. +- source: 81b03e6b3400 / 81b03e6b3400.source_card.md — Obsidian Knowledge Graph: Система управления знаниями, позволяющая AI-агентам быстро находить и использовать контент. (chunk_001, chunk_002) +- confidence: strong + +## Framework: Finance Analytics KB Workflow + +### Purpose +Provide a reusable operating sequence for `Finance Analytics KB Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `Finance Analytics KB Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Collect source docs. +2. Separate facts from assumptions. +3. Document metrics. +4. Run deterministic checks. +5. Publish guidance. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: c5ee81b6203d / c5ee81b6203d.source_card.md — Approval workflow: Запрос на покупку проходит внутренний рабочий процесс утверждения. (chunk_001) +- source: c5ee81b6203d / c5ee81b6203d.clean.md — Purchase request → approval workflow. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/finance_analytics.md +- source: 249e4828d393 / 249e4828d393.source_card.md — Areas: Ongoing responsibilities with no defined end (e.g., finances, health). +- source: 3856ddacffbb / 3856ddacffbb.clean.md — Practical workflow for creating buttons, tables, and backgrounds in Figma. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Areas: Ongoing responsibilities that need to be maintained at a certain standard, such as health, finances, or career. (chunk_001) +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 12f5f5fd78b4 / 12f5f5fd78b4.source_card.md — GitHub Actions Workflow: Автоматический процесс, запускаемый на события в репозитории. +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 23b2bb9d51bc / 23b2bb9d51bc.source_card.md — Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Эффективное использование ChatGPT с помощью системных подходов к промптингу. +- source: 23c07242ffea / 23c07242ffea.source_card.md — not found in source +- source: 2514b6b1167b / 2514b6b1167b.source_card.md — Ускорение разработки приложений с помощью AI-инструментов и автоматизации. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Procedures / Workflow: not found in source (в целом, но отдельные процедуры описаны в `Key Concepts` и `Practical Rules`) +- source: 2aa9b790dd93 / 2aa9b790dd93.source_card.md — Сравнение Kestra и Apache Airflow как инструментов для оркестровки workflow, их подходов, применения и подходящих сценариев использования. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 3856ddacffbb / 3856ddacffbb.source_card.md — not found in source +- source: 3f8ac3d990d2 / 3f8ac3d990d2.source_card.md — Использование ChatGPT как AI-партнера для ускорения процесса написания, включая планирование, drafting, ревизию и упаковку. +- confidence: strong + +## Framework: Codex Task Preparation Workflow + +### Purpose +Provide a reusable operating sequence for `Codex Task Preparation Workflow` without treating weak evidence as finished synthesis. + +### Trigger +Use when work matches `Codex Task Preparation Workflow` and source-backed evidence is needed before action. + +### Inputs +- Source cards, clean notes, published markdown, or compact package files. +- Retrieved excerpts or file references. + +### Ordered steps +1. Retrieve KB context. +2. Draft task spec. +3. Build plan. +4. Lock scope. +5. Execute and validate. + +### Outputs +- A grounded workflow result, package, QA note, task brief, or documentation block. + +### QA gates +- Evidence is listed. +- Confidence is labeled. +- Weak evidence is marked as weak. +- Unsupported claims are not promoted to facts. + +### Failure modes +- Evidence is weak / not enough source support. +- Source references are missing. +- Navigation, raw content, and synthesis are mixed. + +### How Sergey should use it +- Use this framework as a checklist before asking ChatGPT or Codex to produce final work. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This framework is deterministic scaffolding and remains blocked where evidence is weak. + +### Operational use +- Apply the ordered steps and QA gates directly to the matching workflow. + +### Limitations +- Convert from skeleton to production-approved operating guide only after automated acceptance gates pass. + +### Evidence +- source: e0e0a673c090 / e0e0a673c090.clean.md — Agentic Workflow: Using agents to automate tasks like setting up OpenClaw or generating restaurant menus, reducing the need for manual coding. +- source: 013153410460 / 013153410460.source_card.md — Router Nudges: Phrases that trigger deeper reasoning in GPT-5.2 for complex tasks. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Agent Mode: A feature of ChatGPT that allows it to perform tasks requiring internet browsing and interaction with other tools. It combines the capabilities of "Operator" (web browsing) and "Deep Research" (complex question answering and reasoning). chunk_001 +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Role-Task-Format: Структура промпта, определяющая роль исполнителя, задачу и желаемый формат вывода. chunk_001 +- source: 249e4828d393 / 249e4828d393.source_card.md — Actionable vs. Reference: Differentiating between information that requires action (tasks, calendar events) and information to be referred back to later. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 445c8146740b / 445c8146740b.source_card.md — Фреймворк CTC (Context-Task-Constraints) для улучшения взаимодействия с AI. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Specialization: The practice of creating agents that excel at a single task, rather than generalist agents. +- source: 58ee17c5494a / 58ee17c5494a.source_card.md — Time Blocking: Allocating specific time slots in a calendar for different tasks and activities. +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Workflow for using Claude Code effectively. +- source: 71e059fdc87a / 71e059fdc87a.source_card.md — Workflow еженедельного обзора в Obsidian с использованием метода "плюс-минус-следующий" и кастомного шортката. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Sub-agents: Agents that can be spawned by a parent agent to perform specific tasks. +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Prompt Chaining: Using a sequence of prompts to achieve a complex task. +- source: ab73c08ac842 / ab73c08ac842.source_card.md — Goal — новая функция в Codex, позволяющая задавать долгосрочные цели для AI-агента. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Specialized Agents: Agents designed to perform specific tasks exceptionally well. +- source: dc62b54c1736 / dc62b54c1736.source_card.md — Скиллы в Claude Code, Antigravity Codex и других IDE-инструментах для автоматизации рутинных задач. +- source: e955aeab714e / e955aeab714e.source_card.md — Оптимизация рабочего процесса с использованием Codex CLI. +- source: f35e19a30878 / f35e19a30878.source_card.md — Slash Commands: Commands like `/init`, `/compact`, `/review` that streamline workflows. +- source: 013153410460 / 013153410460.clean.md — Chain-of-Thought Workflows: Sequential prompting for complex tasks. +- confidence: strong diff --git a/publish/chatgpt_project_compact_general/KB__07_PATTERNS_AND_FAILURES.md b/publish/chatgpt_project_compact_general/KB__07_PATTERNS_AND_FAILURES.md new file mode 100644 index 0000000..094c9c9 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__07_PATTERNS_AND_FAILURES.md @@ -0,0 +1,786 @@ +# Patterns + +## Pattern: File-first knowledge + +### Meaning +`File-first knowledge` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 249e4828d393 / 249e4828d393.source_card.md — Reference material can be stored in file storage, note-taking apps, or knowledge bases. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — do not promote this source as supported knowledge until it is reviewed (chunk_001) +- source: c3eb1f147d81 / c3eb1f147d81.source_card.md — CloudMD file: Файл, который служит "мозгом" системы, обновляя контекст при каждом взаимодействии с AI. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Adversarial Verification: Employing one agent for coding and another to meticulously review the output of the first agent. +- source: 576536aea528 / 576536aea528.clean.md — Clear email (5-10 min): Process oldest first, archive, create tasks, or save notes. +- source: AI_KB_Context_File_v1 / AI_KB_Context_File_v1.0.md — /Users/sst/Documents/Python Progect/[Транскрибация] Knoweledge Base/workspace/knowledge/concepts/ai_systems.md +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Поддержка агентских навыков в Codex. +- source: 02d44e99714a / 02d44e99714a.source_card.md — FileAgents.md: Файл для настройки инструкций и правил для агента Codex, позволяющий задавать специфические требования к проекту. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Providing Context and Permissions: Ensure Agent Mode has full context about a task and specify what it can and cannot do. Grant appropriate file permissions and set boundaries for actions. chunk_002 +- source: 106455adc44e / 106455adc44e.source_card.md — LLM Knowledge Base / LLM Wiki: Подход к созданию базы знаний, где LLM обрабатывает исходные данные и создает структурированные вики-страницы. (chunk_001) +- source: 1797ff4aba2f / 1797ff4aba2f.source_card.md — CLI (Command Line Interface): Интерфейс командной строки, который агенты могут использовать для взаимодействия с удаленными серверами. Для известных инструментов (например, `kubectl`, `gh`, `aws`) LLM уже знают, как их использовать, не требуя дополнительного контекста или конфигу +- source: 1da5f9a6d218 / 1da5f9a6d218.source_card.md — not found in source +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — Информация о Knowledge-Segmented Generation (KSG) и его сравнение с GraphRAG. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Incorporating Specialized Knowledge: Use external services or specialized roles within BrainTrust for annotations in industries requiring specific expertise. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Obsidian: An application used for a more user-friendly interface to interact with Co-work OS files. +- source: 327f81526d98 / 327f81526d98.source_card.md — not found in source +- source: 39466d759b5a / 39466d759b5a.source_card.md — Точные причины ошибки "File not found" при первом запуске инжестирования PDF. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Auto Accept Edits: Claude Code automatically makes file changes but still asks for permission to run commands. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Provide Value First: Focus on helping others, teaching, and connecting them to build social capital. (clean_note) +- confidence: strong + +## Pattern: Routing before reasoning + +### Meaning +`Routing before reasoning` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Agent Mode: A feature of ChatGPT that allows it to perform tasks requiring internet browsing and interaction with other tools. It combines the capabilities of "Operator" (web browsing) and "Deep Research" (complex question answering and reasoning). chunk_001 +- source: 013153410460 / 013153410460.source_card.md — Router Nudges: Phrases that trigger deeper reasoning in GPT-5.2 for complex tasks. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Models: Различные модели ИИ (например, GPT-5.4), которые могут использоваться Codex, с возможностью настройки уровня "разума" (reasoning) для баланса между скоростью и качеством. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Для сложных задач использовать фразу "Think through this step by step before giving your answer" (Chain of Thought). chunk_001 +- source: 34e7699387aa / 34e7699387aa.source_card.md — Настройка режимов работы (Ask Before Edits, Edit Automatically, Plan Mode, Bypass Permissions). +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Ask Permissions: Claude Code requests approval before making changes or running commands. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — "Think step by step" instruction for careful reasoning. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Hooks: A feature in Cloud Code that allows for the execution of scripts after tool usage (post-tool-use hooks) or before tool usage (pre-tool-use hooks) within agents, enabling self-validation. +- source: 590111c507a0 / 590111c507a0.source_card.md — Implementing User Approval: Add a "User Approval" node to pause the workflow and await user confirmation before proceeding. chunk_005 +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Plan Mode: A mode in Claude Code where the AI generates a plan before executing code. +- source: 7ac4b0ccf1ab / 7ac4b0ccf1ab.source_card.md — Reasoning Effort: Настройка, определяющая глубину анализа модели. +- source: 8fdbda424c0f / 8fdbda424c0f.source_card.md — Настройка поиска: Добавить `codex search` в `~/.bashrc` или `~/.zshrc` и перезагрузить терминал. Создать алиас `ch` для автоматического включения поиска и высокого уровня рассуждений: `alias ch='codex search -c "model.reasoning_effort=high"'`. (chunk_001) +- source: a209de643f12 / a209de643f12.source_card.md — Детали работы "Thinker Pipeline" и его отличие от "Deep Reasoning" при использовании пользовательских LLM. +- source: ad823fa1bb00 / ad823fa1bb00.source_card.md — Risk of data exposure if Travel Mode is not activated before inspections. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Ensure a model is loaded in the WebUI before attempting to access it via the API. +- source: c9f2ad11f7a3 / c9f2ad11f7a3.source_card.md — Режимы работы инструментов: Bypass Permissions (полная свобода действий), Ask Before Edit (запрос разрешения перед действием), Edit Automatically (частичный запрос разрешения), Plan Mode (для планирования задач). , +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Start with a smaller subset of tasks for evaluation before running the full suite. chunk_004 +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Data Preparation: Essential steps required before loading data into the dashboard, including matching column structure and removing extraneous columns. +- source: edbed5966c30 / edbed5966c30.source_card.md — Update Playwright to the latest version before using agents. +- source: f35e19a30878 / f35e19a30878.source_card.md — Hooks: Shell commands that run automatically before or after Cloud Code actions, such as code formatting. +- confidence: strong + +## Pattern: Traceability before automation + +### Meaning +`Traceability before automation` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Automation: Integrating Agent Mode with tools like N8N to run pre-scheduled automations. chunk_002 +- source: 590111c507a0 / 590111c507a0.source_card.md — Implementing User Approval: Add a "User Approval" node to pause the workflow and await user confirmation before proceeding. chunk_005 +- source: f35e19a30878 / f35e19a30878.source_card.md — Hooks: Shell commands that run automatically before or after Cloud Code actions, such as code formatting. +- source: f35e19a30878 / f35e19a30878.clean.md — Review changes before committing to avoid unintended modifications. +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Automation: Функция для настройки автоматического выполнения задач по расписанию (аналогично cron jobs). +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Для сложных задач использовать фразу "Think through this step by step before giving your answer" (Chain of Thought). chunk_001 +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — The "automation" feature in i10x is mentioned with an example but not fully detailed. +- source: 33e44990acd7 / 33e44990acd7.source_card.md — * Detailed explanation of "formulas happening behind the scenes" for automation. +- source: 34e7699387aa / 34e7699387aa.source_card.md — Настройка режимов работы (Ask Before Edits, Edit Automatically, Plan Mode, Bypass Permissions). +- source: 37fca4b5cc83 / 37fca4b5cc83.source_card.md — Применение искусственного интеллекта (AI) в области финансового планирования и анализа (FP&A) для автоматизации отчетности и аналитики. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Ask Permissions: Claude Code requests approval before making changes or running commands. +- source: 43a127fe7f68 / 43a127fe7f68.source_card.md — Automations: Автоматизации для регулярных задач. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Hooks: A feature in Cloud Code that allows for the execution of scripts after tool usage (post-tool-use hooks) or before tool usage (pre-tool-use hooks) within agents, enabling self-validation. +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Plan Mode: A mode in Claude Code where the AI generates a plan before executing code. +- source: 855d843d1732 / 855d843d1732.source_card.md — Автоматизация создания списков задач в Things 3 с использованием Drafts и Things Parser. +- source: ad823fa1bb00 / ad823fa1bb00.source_card.md — Risk of data exposure if Travel Mode is not activated before inspections. +- source: aebbfb957044 / aebbfb957044.source_card.md — Автоматизации (Automations): Задачи, выполняемые по расписанию, например, триаж уведомлений или багов. +- source: b0ec8de38c39 / b0ec8de38c39.source_card.md — Automations (Автоматизация): Настройка действий, которые происходят автоматически при выполнении определенных условий (например, изменение статуса задачи при нажатии кнопки). +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Ensure a model is loaded in the WebUI before attempting to access it via the API. +- confidence: strong + +## Pattern: Compact package over raw dump + +### Meaning +`Compact package over raw dump` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Second Brain: A system for storing, organizing, and retrieving knowledge efficiently to manage information overload and enhance productivity. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Over-reliance on AI: Engineers must not delegate the learning process to agents; continuous learning and understanding of systems are crucial. +- source: c364634ca52f / c364634ca52f.source_card.md — RAW: Папка для хранения сырой, необработанной информации. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Docker Image: A lightweight, standalone, executable package that includes everything needed to run a piece of software, including the code, runtime, system tools, system libraries, and settings. chunk_007 +- source: f35e19a30878 / f35e19a30878.source_card.md — Slash Commands: Commands like `/init`, `/compact`, `/review` that streamline workflows. +- source: f35e19a30878 / f35e19a30878.clean.md — Use `cloud /compact` frequently in long sessions to manage token usage. +- source: 013153410460 / 013153410460.source_card.md — Overly complex single prompts may fail due to context limits. chunk_001 +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Evidence over claims: Принцип, согласно которому задача считается завершенной только при наличии проходящего теста в качестве доказательства. +- source: 07dded635426 / 07dded635426.source_card.md — PIV Loop (Plan, Implement, Validate): A workflow methodology that can be packaged into Archon. +- source: 08a478d9b588 / 08a478d9b588.source_card.md — Введение в финансовое планирование и анализ (FP&A), включая бюджетирование, прогнозирование и анализ отклонений. +- source: 106455adc44e / 106455adc44e.source_card.md — Raw Folder: Папка для исходных файлов, подлежащих обработке. (chunk_001, chunk_002, chunk_003) +- source: 1a2ef33722e9 / 1a2ef33722e9.source_card.md — Emergency Kit: A set of data required to recover access to a 1Password account without password resets. It includes the account password, secret keys, and a recovery code. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Компактирование длинных потоков: `/compact`. +- source: 1ab3cfca4b54 / 1ab3cfca4b54.source_card.md — Trusted System: The GTD principle of capturing and reviewing all tasks and actions to ensure nothing is overlooked. +- source: 205904a12467 / 205904a12467.source_card.md — Committing to overly long sessions may result in skipping them altogether, rendering the effort pointless. (clean_note, chunk_002) +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Управление контекстом: Использование команд типа `slash compact` или автоматического компактинга для экономии контекстного окна. +- source: 2b3eaf757caf / 2b3eaf757caf.source_card.md — Команды настройки: `/permission` для управления доступом, `/model` для выбора модели (рекомендуется `medium` для баланса цены и скорости), `/plan` для планирования задач, `/review` для проверки изменений, `/status` для просмотра использования токенов, `/compact` для суммаризации +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Scoring: Defining clear criteria and using robust tests (LLM as a Judge, code-based scores) to measure application quality over time. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Plugins: Bundles of related skills and connectors that provide pre-packaged functionalities. +- source: 3427f4f32843 / 3427f4f32843.source_card.md — Использовать команду `/compact` для сжатия диалога при достижении 150–200 тыс. токенов. , +- confidence: strong + +## Pattern: Open WebUI for retrieval, ChatGPT for reasoning + +### Meaning +`Open WebUI for retrieval, ChatGPT for reasoning` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: a209de643f12 / a209de643f12.source_card.md — KEG Builder: Компонент, отвечающий за построение графа знаний. Он включает семантическое деление текста на чанки, извлечение сущностей и отношений с помощью OpenIE, согласование знаний (устранение дубликатов, понимание синонимов), добавление описаний и резюме для сущностей, а так +- source: 013153410460 / 013153410460.clean.md — Router Nudges: Explicit triggers to activate deeper reasoning. +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — ChatGPT Agent Mode +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Codex App — это AI-кодинговый агент от OpenAI, предназначенный для помощи в написании, чтении и создании кода. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Context Engineering for AI Agents +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — GraphRAG (Graph Retrieval-Augmented Generation) +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: 6e795257aa3a / 6e795257aa3a.source_card.md — * Effort Levels: Настройки, влияющие на размер контекстного окна и вычислительную мощность, используемую моделью. +- source: 7ac4b0ccf1ab / 7ac4b0ccf1ab.source_card.md — AgentBuilder от OpenAI как инструмент для создания ИИ-агентов. +- source: 9c11f7b969f2 / 9c11f7b969f2.source_card.md — RAG (Retrieval-Augmented Generation): Система, объединяющая поиск информации и генерацию текста. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Setting up a local LLM server using Ollama and accessing it via a WebUI and API. +- source: eaca5f701b35 / eaca5f701b35.source_card.md — OpenAI Codex — это AI-агент для кодирования, доступный по подписке ChatGPT Plus, Pro или Business. +- source: ec0cf17371a7 / ec0cf17371a7.source_card.md — OpenWebUI: Веб-интерфейс для взаимодействия с моделями LLM, работающими через Ollama, позволяющий удаленный доступ и управление. +- source: 002ccfab2527 / 002ccfab2527.clean.md — OpenWebUI: Интерфейс для управления OLLAMA-сервером. +- source: 3951e9bce9a7 / 3951e9bce9a7.clean.md — Порт 11434 используется для API, который OpenWebUI будет использовать для взаимодействия с моделями. +- source: 7ac4b0ccf1ab / 7ac4b0ccf1ab.clean.md — AgentBuilder: Инструмент для создания ИИ-агентов от OpenAI. +- source: a209de643f12 / a209de643f12.clean.md — OpenIE (Open Information Extraction): Извлечение SPO-триплитов (субъект, предикат, объект). +- source: eaca5f701b35 / eaca5f701b35.clean.md — Установить через `npm install -g @openai/codex` или `brew install codec`. +- source: ec0cf17371a7 / ec0cf17371a7.clean.md — OpenWebUI — интерфейс для управления моделями. +- confidence: strong + +## Pattern: Codex for implementation + +### Meaning +`Codex for implementation` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0084501c4c44 / 0084501c4c44.source_card.md — The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Codex App — это AI-кодинговый агент от OpenAI, предназначенный для помощи в написании, чтении и создании кода. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Input Sanitization: Cleaning and validating all inputs and outputs for AI agents to prevent injection attacks. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Claude Code: A comprehensive tutorial on using Claude Code, an AI-powered coding agent, for application development. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic engineering and the implementation of specialized self-validating agents using Cloud Code. +- source: 678e288772ee / 678e288772ee.source_card.md — Condition-Based Maintenance (CBM) strategy for increasing asset and productivity. +- source: 6e795257aa3a / 6e795257aa3a.source_card.md — Codex - это продвинутый инструмент ИИ, предназначенный для помощи в широком спектре задач, от написания кода и управления проектами до создания и управления навыками и агентами. +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Workflow for using Claude Code effectively. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Reimplementation of Git Worktrees feature in Cursor using slash commands and agent skills. +- source: 8fdbda424c0f / 8fdbda424c0f.source_card.md — Настройка и оптимизация Codex CLI для пользователей, переходящих с Claude Code. +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Architect Mode: A prompt chain technique within AIDR involving two models: an architect for drafting and an editor for refining code. +- source: 98e2679fe708 / 98e2679fe708.source_card.md — Функция Multi-agent в Codex +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Getting Things Done (GTD) methodology implementation using TickTick. +- source: dc62b54c1736 / dc62b54c1736.source_card.md — Скиллы в Claude Code, Antigravity Codex и других IDE-инструментах для автоматизации рутинных задач. +- source: e955aeab714e / e955aeab714e.source_card.md — Оптимизация рабочего процесса с использованием Codex CLI. +- source: eaca5f701b35 / eaca5f701b35.source_card.md — OpenAI Codex — это AI-агент для кодирования, доступный по подписке ChatGPT Plus, Pro или Business. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Cloud Code: A platform for defining project structure and rules, enabling AI to implement functions within specified constraints. It allows for programmable context engineering. +- source: 1d917a33ec0f / 1d917a33ec0f.clean.md — Codex CLI: Command-line tool for assigning coding tasks. +- source: 8fdbda424c0f / 8fdbda424c0f.clean.md — Добавить `codex search` в `~/.bashrc` или `~/.zshrc` и перезагрузить терминал. +- confidence: strong + +## Pattern: Smoke tests before scaling + +### Meaning +`Smoke tests before scaling` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Plan Mode: A mode in Claude Code where the AI generates a plan before executing code. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Harness: Software provided by SWE-bench to facilitate the evaluation process, including setting up environments, running tests, and asserting results. chunk_003, chunk_007 +- source: edbed5966c30 / edbed5966c30.source_card.md — Seed file: Configuration file for setting the initial state of tests. +- source: f35e19a30878 / f35e19a30878.source_card.md — Hooks: Shell commands that run automatically before or after Cloud Code actions, such as code formatting. +- source: f35e19a30878 / f35e19a30878.clean.md — Agent System: Parallel AI sub-agents for complex tasks (e.g., code, tests, exploration). +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Think twice before entering sensitive data into the browser environment. chunk_003 +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Для сложных задач использовать фразу "Think through this step by step before giving your answer" (Chain of Thought). chunk_001 +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Scoring: Defining clear criteria and using robust tests (LLM as a Judge, code-based scores) to measure application quality over time. +- source: 34e7699387aa / 34e7699387aa.source_card.md — Настройка режимов работы (Ask Before Edits, Edit Automatically, Plan Mode, Bypass Permissions). +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Ask Permissions: Claude Code requests approval before making changes or running commands. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Hooks: A feature in Cloud Code that allows for the execution of scripts after tool usage (post-tool-use hooks) or before tool usage (pre-tool-use hooks) within agents, enabling self-validation. +- source: 590111c507a0 / 590111c507a0.source_card.md — Implementing User Approval: Add a "User Approval" node to pause the workflow and await user confirmation before proceeding. chunk_005 +- source: 9f1540c05011 / 9f1540c05011.source_card.md — Трехъярусная тестовая пирамида: Фреймворк для оценки агентов AI, состоящий из трех уровней: компонентный (unit tests), траекторный (integration tests) и конечный (human review). +- source: ad823fa1bb00 / ad823fa1bb00.source_card.md — Risk of data exposure if Travel Mode is not activated before inspections. +- source: b1970f112faa / b1970f112faa.source_card.md — Автоматизация рефакторинга, написания тестов и документации с помощью субагентов в одном запуске. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Ensure a model is loaded in the WebUI before attempting to access it via the API. +- source: c9f2ad11f7a3 / c9f2ad11f7a3.source_card.md — Режимы работы инструментов: Bypass Permissions (полная свобода действий), Ask Before Edit (запрос разрешения перед действием), Edit Automatically (частичный запрос разрешения), Plan Mode (для планирования задач). , +- source: d68c7e17457b / d68c7e17457b.source_card.md — После каждого редактирования кода необходимо запускать сборку (`build`), тесты (`tests`) и проверку типов (`type check`). +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Data Preparation: Essential steps required before loading data into the dashboard, including matching column structure and removing extraneous columns. +- source: ef717d14de84 / ef717d14de84.source_card.md — Использование LLM в качестве оценщика для масштабирования оценки текстов, генерируемых ИИ. +- confidence: strong + +## Pattern: Synthesis before embeddings + +### Meaning +`Synthesis before embeddings` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Think twice before entering sensitive data into the browser environment. chunk_003 +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Для сложных задач использовать фразу "Think through this step by step before giving your answer" (Chain of Thought). chunk_001 +- source: 34e7699387aa / 34e7699387aa.source_card.md — Настройка режимов работы (Ask Before Edits, Edit Automatically, Plan Mode, Bypass Permissions). +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Ask Permissions: Claude Code requests approval before making changes or running commands. +- source: 47f562389e99 / 47f562389e99.source_card.md — Векторный поиск: Поиск по сходству с использованием векторных представлений данных (embeddings). +- source: 5230e12a162c / 5230e12a162c.source_card.md — Hooks: A feature in Cloud Code that allows for the execution of scripts after tool usage (post-tool-use hooks) or before tool usage (pre-tool-use hooks) within agents, enabling self-validation. +- source: 590111c507a0 / 590111c507a0.source_card.md — Implementing User Approval: Add a "User Approval" node to pause the workflow and await user confirmation before proceeding. chunk_005 +- source: 67326d3d3a36 / 67326d3d3a36.source_card.md — * Векторные представления (Embeddings): Численные представления текстовых фрагментов, которые позволяют моделям понимать семантическое сходство между текстами. +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Plan Mode: A mode in Claude Code where the AI generates a plan before executing code. +- source: ac638295ccfe / ac638295ccfe.source_card.md — Синтез ответов (Answer Synthesis): Формирование связного ответа на основе извлеченной информации. +- source: ad823fa1bb00 / ad823fa1bb00.source_card.md — Risk of data exposure if Travel Mode is not activated before inspections. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Ensure a model is loaded in the WebUI before attempting to access it via the API. +- source: c9f2ad11f7a3 / c9f2ad11f7a3.source_card.md — Режимы работы инструментов: Bypass Permissions (полная свобода действий), Ask Before Edit (запрос разрешения перед действием), Edit Automatically (частичный запрос разрешения), Plan Mode (для планирования задач). , +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Start with a smaller subset of tasks for evaluation before running the full suite. chunk_004 +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Data Preparation: Essential steps required before loading data into the dashboard, including matching column structure and removing extraneous columns. +- source: edbed5966c30 / edbed5966c30.source_card.md — Update Playwright to the latest version before using agents. +- source: f35e19a30878 / f35e19a30878.source_card.md — Hooks: Shell commands that run automatically before or after Cloud Code actions, such as code formatting. +- source: 079e99b44ad4 / 079e99b44ad4.clean.md — Retrieval: Process of fetching relevant context using embeddings. +- source: 23b36f7b46ef / 23b36f7b46ef.clean.md — Chain of Thought: Для сложных задач используйте фразу "Think through this step by step before giving your answer". +- source: 34e7699387aa / 34e7699387aa.clean.md — Интерфейс похож на чат GPT, с возможностью работы в разных режимах (Ask Before Edits, Edit Automatically, Plan Mode, Bypass Permissions). +- confidence: strong + +# Anti-patterns / Failure Modes + +## Anti-pattern: Uploading raw transcripts directly + +### Meaning +`Uploading raw transcripts directly` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic Engineering: A new role where engineers build and manage agents that run applications, rather than working directly on applications. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Leveraging Automation: Subscribe to accounts on other sites (e.g., Google, Canva, GitHub) to allow ChatGPT to pull data directly. Connect ChatGPT to automation clients like N8N for pre-scheduled automations. chunk_002 +- source: 0937003ca29f / 0937003ca29f.source_card.md — Receiving Answers: The notebook generates customized content based on the user's query, drawing from a knowledge base. +- source: 106455adc44e / 106455adc44e.source_card.md — Raw Folder: Папка для исходных файлов, подлежащих обработке. (chunk_001, chunk_002, chunk_003) +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — The exact process or interface for "uploading a ZIP file" for the Co-work OS plugin is not fully detailed beyond selecting the file. +- source: 37fca4b5cc83 / 37fca4b5cc83.source_card.md — Применение искусственного интеллекта (AI) в области финансового планирования и анализа (FP&A) для автоматизации отчетности и аналитики. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — The value of being a connector (broker) is most significant when you are directly involved; being one degree removed from the connector yields less benefit. (chunk_004) +- source: 58ee17c5494a / 58ee17c5494a.source_card.md — Things 3 does not allow attaching files directly. +- source: 80edb9c2df7b / 80edb9c2df7b.source_card.md — Использование искусственного интеллекта (AI) в финансовом планировании и анализе (FP&A) для автоматизации анализа данных и создания отчетов. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Set the API key as an environment variable or directly in the script. +- source: c364634ca52f / c364634ca52f.source_card.md — RAW: Папка для хранения сырой, необработанной информации. +- source: d2a2f76027de / d2a2f76027de.source_card.md — `raw/`: для исходных документов (PDF, markdown, веб-клипы). +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Derived Columns: Columns within the dashboard that calculate insights based on the raw data. +- source: e687488788a3 / e687488788a3.source_card.md — Business Drivers: Factors that directly impact financial performance, such as subscriber growth, marketing spend, and price inflation. (chunk_001) +- source: f285e435cd03 / f285e435cd03.source_card.md — Raw folder: Папка для хранения исходных данных (статьи, тексты, PDF). +- source: 106455adc44e / 106455adc44e.clean.md — Raw Folder: Папка для исходных файлов, подлежащих обработке. +- source: 24744f3c666f / 24744f3c666f.clean.md — Интерфейс Codex позволяет создавать и редактировать файлы directly в VSCode. +- source: 37fca4b5cc83 / 37fca4b5cc83.clean.md — AI-агенты: Автономные системы, выполняющие задачи на основе данных и естественного языка. +- source: 80edb9c2df7b / 80edb9c2df7b.clean.md — AI-агенты: Программы, которые могут выполнять задачи на основе данных и естественного языка. +- confidence: strong + +## Anti-pattern: Using source cards as primary user-facing KB + +### Meaning +`Using source cards as primary user-facing KB` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0084501c4c44 / 0084501c4c44.source_card.md — The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. +- source: 249e4828d393 / 249e4828d393.source_card.md — Building a second brain using a system of interconnected digital tools. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Reimplementation of Git Worktrees feature in Cursor using slash commands and agent skills. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic Coding: The practice of engineering AI systems using agents. +- source: 07dded635426 / 07dded635426.source_card.md — Archon Workflow Creation: Workflows can be built using YAML, with the Archon skill guiding the process. They can be triggered via CLI or a web interface. +- source: 0937003ca29f / 0937003ca29f.source_card.md — Interactive Intelligence: The public notebook acts as an AI coach, providing advice, feedback, and guidance that adapts to user queries. +- source: 16448a566572 / 16448a566572.source_card.md — Securely accessing secrets at runtime using the 1Password CLI and Environments. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Mastering AI evaluation from playground to production using BrainTrust. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Automating life using Claude Co-work OS. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Claude Code: A comprehensive tutorial on using Claude Code, an AI-powered coding agent, for application development. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Entity Extraction: The process of identifying entities and their relationships from text, often using LLMs, to build a knowledge graph. chunk_002 +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Zero-Knowledge Architecture: A security model where the service provider has no knowledge of the user's data. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Setting up a local LLM server using Ollama and accessing it via a WebUI and API. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Evaluation of AI coding agents using SWE-bench and JetBrains tools like TeamCity and Juni. +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Filters/Slicers: Interactive elements that allow users to segment and analyze data based on various criteria such as plant, vendor, category, buyer, and date range. +- source: ead625ef0597 / ead625ef0597.source_card.md — Conduct research using ChatGPT Pro's Deep Research feature. +- source: 013153410460 / 013153410460.source_card.md — XML Structuring: Using tags to label and organize different components of a prompt (task, context, constraints, output format, tone). +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Conditional Logic: Using "if and then" statements to guide Agent Mode's actions based on findings. chunk_002 +- confidence: strong + +## Anti-pattern: Adding embeddings before structure works + +### Meaning +`Adding embeddings before structure works` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 590111c507a0 / 590111c507a0.source_card.md — Adding and Managing Nodes: Nodes can be dragged and dropped onto the canvas or created by connecting outputs. Nodes can be deleted by clicking the trash icon or pressing backspace. chunk_001 +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Prompting Strategy: Prompts should be directive, designed to elicit action, and combine research, analysis, logic, and decision-making. Use an action-and-output structure rather than question-and-answer. chunk_002 +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Adding New Commands to a Knowledge Base Project: +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — SWE-bench: A benchmark for evaluating AI software development agents, consisting of real GitHub issues and pull requests. It follows an arrange-act-assert structure similar to unit testing. chunk_002, chunk_003 +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Data Preparation: Essential steps required before loading data into the dashboard, including matching column structure and removing extraneous columns. +- source: 013153410460 / 013153410460.clean.md — Meta-Prompting: Ask GPT-5.2 to optimize prompts by adding structure, constraints, and error handling. +- source: 07dded635426 / 07dded635426.source_card.md — RAG (Retrieval-Augmented Generation): Used for course and workshop navigation within the Dynamis community platform. +- source: 08a478d9b588 / 08a478d9b588.source_card.md — Бюджетная подушка (padding) — недооценка доходов или преоценка расходов, что может создавать ложное впечатление о эффективном управлении (chunk_001). +- source: 205904a12467 / 205904a12467.source_card.md — Full version: A comprehensive weekly planning session (1-1.5 hours) that involves reviewing all projects and adding tasks for future reminders. (clean_note, chunk_001) +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Для сложных задач использовать фразу "Think through this step by step before giving your answer" (Chain of Thought). chunk_001 +- source: 249e4828d393 / 249e4828d393.source_card.md — The PARA method's hierarchical structure might not be ideal for all digital systems; flexibility is key. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Iteration: Continuously improving evaluations by adding data, refining scores, and enhancing the application. +- source: 34e7699387aa / 34e7699387aa.source_card.md — Настройка режимов работы (Ask Before Edits, Edit Automatically, Plan Mode, Bypass Permissions). +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Ask Permissions: Claude Code requests approval before making changes or running commands. +- source: 462cf1fe8a0d / 462cf1fe8a0d.source_card.md — not found in source +- source: 47f562389e99 / 47f562389e99.source_card.md — Векторный поиск: Поиск по сходству с использованием векторных представлений данных (embeddings). +- source: 5230e12a162c / 5230e12a162c.source_card.md — Hooks: A feature in Cloud Code that allows for the execution of scripts after tool usage (post-tool-use hooks) or before tool usage (pre-tool-use hooks) within agents, enabling self-validation. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Lexical Graph: A graph structure representing documents and their elements (chapters, sections, paragraphs) with relationships between them. chunk_002 +- source: 67326d3d3a36 / 67326d3d3a36.source_card.md — * Векторные представления (Embeddings): Численные представления текстовых фрагментов, которые позволяют моделям понимать семантическое сходство между текстами. +- confidence: strong + +## Anti-pattern: Treating QA recommendations as source facts + +### Meaning +`Treating QA recommendations as source facts` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Resources: A curated library of useful materials, inspiration, research, and learning artifacts that can be referenced or recombined. (chunk_001) +- source: 0937003ca29f / 0937003ca29f.source_card.md — Personalized Recommendations: The notebook can provide tailored suggestions based on user archetypes (librarian, architect, gardener, student) and personal criteria. +- source: 1a2ef33722e9 / 1a2ef33722e9.source_card.md — Specific methods of storage considered most secure beyond general recommendations. +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Specific recommendations from the National Institute of Technology for password length and complexity beyond general guidance. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Cache dependencies to speed up evaluations and reduce load on community resources. chunk_004 +- source: ead625ef0597 / ead625ef0597.source_card.md — Deep Research: A feature in ChatGPT Pro that generates detailed research reports, including insights, links, and recommendations. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — OpenSpec: A community project that facilitates AI in implementing functions based on predefined specifications, generating artifacts like to-do lists, architecture, and design documents. +- source: 64d02db90f0f / 64d02db90f0f.clean.md — Use Intermediate Artifacts: Create auditable artifacts (e.g., courses, code diffs) to ensure consistency and quality. +- source: 002ccfab2527 / 002ccfab2527.source_card.md — not found in source +- source: 010057ac4ed1 / 010057ac4ed1.source_card.md — Установка и основы использования Codex CLI. +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Поддержка агентских навыков в Codex. +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 0235204a8edc / 0235204a8edc.source_card.md — not found in source +- source: 027119cd3ec7 / 027119cd3ec7.source_card.md — not found in source +- source: 0289a622670f / 0289a622670f.source_card.md — not found in source +- source: 02d44e99714a / 02d44e99714a.source_card.md — Введение в использование Codex в Visual Studio Code для разработки программного обеспечения. +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- confidence: strong + +## Anti-pattern: Answering without evidence + +### Meaning +`Answering without evidence` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: a2c848152155 / a2c848152155.source_card.md — Discipline: The quiet force behind achievement, enabling action even without motivation. It's about choosing long-term rewards over immediate gratification and building self-leadership. , +- source: 039ae7b6765b / 039ae7b6765b.clean.md — Evidence over claims — завершение задачи только при наличии passing test. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Separate ongoing responsibilities into Areas to maintain steady control without the assumption of them being finite enterprises. (chunk_001) +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Evidence over claims: Принцип, согласно которому задача считается завершенной только при наличии проходящего теста в качестве доказательства. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Agent Mode: A feature of ChatGPT that allows it to perform tasks requiring internet browsing and interaction with other tools. It combines the capabilities of "Operator" (web browsing) and "Deep Research" (complex question answering and reasoning). chunk_001 +- source: 16448a566572 / 16448a566572.source_card.md — Runtime Injection: The process of injecting secrets into an application during its execution without storing them in plaintext on disk. +- source: 1a2ef33722e9 / 1a2ef33722e9.source_card.md — Emergency Kit: A set of data required to recover access to a 1Password account without password resets. It includes the account password, secret keys, and a recovery code. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Trusting LLMs without verification can lead to compromised actions. +- source: 249e4828d393 / 249e4828d393.source_card.md — Actionable items with a time component go into a calendar; those without go into a task management app. +- source: 29c2a381a26c / 29c2a381a26c.source_card.md — Evidence Pointers: not found in source +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — The setup process is crucial for Co-work OS to be powerful; without it, it remains just a chatbot. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Planning Mode: Used for discussing app ideas and creating implementation plans without making code changes. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Evidence Pointers (all marked as not found in source) +- source: 5230e12a162c / 5230e12a162c.source_card.md — "Vibe Coding": Blindly copying and pasting code without understanding its function leads to a lack of learning and expertise. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — LLMs without enterprise knowledge can hallucinate and provide inaccurate or unexplainable answers. chunk_001 +- source: 597b4abc5c91 / 597b4abc5c91.source_card.md — Evidence Pointers (все помечены как not found in source) +- source: 632bc5cf84a6 / 632bc5cf84a6.source_card.md — Обработка больших объемов неструктурированных данных с помощью LLM для извлечения информации, анализа тем и построения баз данных. +- source: 665379cac098 / 665379cac098.source_card.md — Evidence Pointers (все помечены как not found in source) +- source: 6855a399b7a1 / 6855a399b7a1.source_card.md — * Evidence Pointers (chunk_001, chunk_002) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Git Worktrees: Separate checkouts of a repository allowing parallel work without interference. +- confidence: strong + +## Anti-pattern: One giant noisy markdown file + +### Meaning +`One giant noisy markdown file` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — User Archetypes: Different user profiles (librarian, architect, gardener, student) that influence recommendations for knowledge management tools. +- source: 249e4828d393 / 249e4828d393.source_card.md — Actionable items with a time component go into a calendar; those without go into a task management app. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Obsidian: An application used for a more user-friendly interface to interact with Co-work OS files. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Auto Accept Edits: Claude Code automatically makes file changes but still asks for permission to run commands. +- source: 3fe1e69aac0b / 3fe1e69aac0b.source_card.md — Editors are evolving to automate context management (e.g., summarizing conversations, condensing files). +- source: 5230e12a162c / 5230e12a162c.source_card.md — Deploy one sub-agent per file or task to enable parallel processing. +- source: 58ee17c5494a / 58ee17c5494a.source_card.md — File emails and forward relevant information into the task manager. +- source: 71e059fdc87a / 71e059fdc87a.source_card.md — GTD (Getting Things Done): Методология управления задачами, включающая еженедельный обзор. +- source: 917028de5eb3 / 917028de5eb3.source_card.md — * Playground UI: A spreadsheet-like interface for testing LLMs with multiple inputs simultaneously, unlike traditional playgrounds that handle one input at a time. +- source: a622117c32eb / a622117c32eb.source_card.md — Использование Obsidian для поддержки практики GTD (Getting Things Done). +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Core Four: The fundamental components of agentic coding: context, model, prompt, and tools. +- source: ead625ef0597 / ead625ef0597.source_card.md — MWebPro: A tool used for creating and storing Markdown files, preserving formatting and links from ChatGPT reports. +- source: f190accecdf9 / f190accecdf9.source_card.md — Unified Agent File: Стандарт для разных AI-кодинговых инструментов (например, Codex, Cloud Code, Copilot), позволяющий использовать один файл конфигурации для разных агентов. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Adversarial Verification: Employing one agent for coding and another to meticulously review the output of the first agent. +- source: 327f81526d98 / 327f81526d98.clean.md — GTD (Getting Things Done) — система, ориентированная на действия, с фокусом на физических и цифровых кабинетах. +- source: 576536aea528 / 576536aea528.clean.md — Check calendar (5 min): Prepare for upcoming events and follow up on past ones. +- source: a622117c32eb / a622117c32eb.clean.md — GTD (Getting Things Done): Методология управления задачами. +- source: e0e0a673c090 / e0e0a673c090.clean.md — Vibe Coding vs. Agentic Engineering: Vibe coding raises the baseline for everyone, while agentic engineering maintains high-quality standards in professional software development. +- source: f190accecdf9 / f190accecdf9.clean.md — Unified Agent File: Стандарт для разных AI-кодинговых инструментов (например, Codex, Cloud Code, Copilot). +- source: f35e19a30878 / f35e19a30878.clean.md — Cloud.md: Project memory file for persistent context. +- confidence: strong + +## Anti-pattern: Mixing navigation and raw content + +### Meaning +`Mixing navigation and raw content` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0937003ca29f / 0937003ca29f.source_card.md — Second Brain: A system for storing, organizing, and retrieving knowledge efficiently to manage information overload and enhance productivity. +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 249e4828d393 / 249e4828d393.source_card.md — Second Brain: A digital system for managing information, offloading cognitive work, and retrieving information when needed. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — Source card generation failed and requires human review (chunk_001). +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic engineering and the implementation of specialized self-validating agents using Cloud Code. +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Cloud.md: A file used to provide Claude Code with context and instructions about a codebase. +- source: a2c848152155 / a2c848152155.source_card.md — The importance of execution and discipline over intelligence for achieving success, particularly financial success. +- source: ac638295ccfe / ac638295ccfe.source_card.md — Управление доступом и управление данными (Access Control and Governance): Интеграция с системами, такими как Microsoft Purview, для обеспечения безопасности и соблюдения политик конфиденциальности данных. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic coding and the use of AI tools like Claude, Code, and Opus for building AI systems. +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Data Preparation: Essential steps required before loading data into the dashboard, including matching column structure and removing extraneous columns. +- source: faf973fd682f / faf973fd682f.source_card.md — * Детали процесса "reindexing content in devon think". +- source: 1d917a33ec0f / 1d917a33ec0f.clean.md — Codex CLI: Command-line tool for assigning coding tasks. +- source: 64d02db90f0f / 64d02db90f0f.clean.md — LLMs as Operating Systems: LLMs orchestrate memory (context windows) and compute, similar to OS functions. +- source: faf973fd682f / faf973fd682f.clean.md — not found in source +- source: 0084501c4c44 / 0084501c4c44.source_card.md — The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. +- source: 013153410460 / 013153410460.source_card.md — GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. +- source: 039ae7b6765b / 039ae7b6765b.source_card.md — Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- confidence: strong + +## Anti-pattern: Inventing definitions where source says not found + +### Meaning +`Inventing definitions where source says not found` is a reusable rule extracted as deterministic guidance. Evidence quality: strong. + +### When to use +- Use when the current task matches the named retrieval, QA, synthesis, or implementation situation. + +### Why it works +- It keeps source evidence, workflow routing, and generated output separated. + +### Risk if ignored +- Evidence may be lost, noisy raw material may leak into user-facing output, or unsupported claims may be treated as facts. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- Treat as a working rule unless evidence is strong. + +### Operational use +- Apply as a check before packaging, retrieval, synthesis, or implementation. + +### Limitations +- Source support exists but still needs automated acceptance before production use. + +### Evidence +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Actionability: Organization should facilitate task completion, not just create an illusion of order. (chunk_001) +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic Engineering: A new role where engineers build and manage agents that run applications, rather than working directly on applications. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Explainability: The ability to show which sources and entities were used to generate an AI response, enhancing transparency. chunk_001, chunk_003 +- source: 002ccfab2527 / 002ccfab2527.source_card.md — not found in source +- source: 013153410460 / 013153410460.source_card.md — Utilize Router Nudges: Employ phrases like "think hard about this" for critical tasks where detail is paramount. chunk_001 +- source: 01d51b8ddd11 / 01d51b8ddd11.source_card.md — not found in source +- source: 01e7a9aa049b / 01e7a9aa049b.source_card.md — not found in source +- source: 0235204a8edc / 0235204a8edc.source_card.md — not found in source +- source: 027119cd3ec7 / 027119cd3ec7.source_card.md — not found in source +- source: 0289a622670f / 0289a622670f.source_card.md — not found in source +- source: 03fdf05923ba / 03fdf05923ba.source_card.md — not found in source +- source: 047131d56e3f / 047131d56e3f.source_card.md — not found in source +- source: 066319c30340 / 066319c30340.source_card.md — not found in source +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Providing Context and Permissions: Ensure Agent Mode has full context about a task and specify what it can and cannot do. Grant appropriate file permissions and set boundaries for actions. chunk_002 +- source: 07fdccb2e649 / 07fdccb2e649.source_card.md — not found in source +- source: 08487a9bb796 / 08487a9bb796.source_card.md — Cache Commander: Open-source проект на Rust для управления кэшами разработчиков. +- source: 08a478d9b588 / 08a478d9b588.source_card.md — not found in source +- source: 094f121cf2f4 / 094f121cf2f4.source_card.md — not found in source (chunk_001) +- source: 097cedc76508 / 097cedc76508.source_card.md — not found in source +- source: 106455adc44e / 106455adc44e.source_card.md — Как часто рекомендуется обновлять базу знаний? (not found in source) +- confidence: strong diff --git a/publish/chatgpt_project_compact_general/KB__08_USE_CASES_FOR_SERGEY.md b/publish/chatgpt_project_compact_general/KB__08_USE_CASES_FOR_SERGEY.md new file mode 100644 index 0000000..da107d3 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__08_USE_CASES_FOR_SERGEY.md @@ -0,0 +1,659 @@ +# Use Cases For Sergey + +## Use Case: Prepare Codex task from retrieved KB chunks + +### Goal +Use source-backed KB material to perform `Prepare Codex task from retrieved KB chunks` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Prepare Codex task from retrieved KB chunks. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 079e99b44ad4 / 079e99b44ad4.clean.md — Faithfulness: Measures if the generated answer aligns with the retrieved context. +- source: 576536aea528 / 576536aea528.clean.md — Clear email (5-10 min): Process oldest first, archive, create tasks, or save notes. +- source: e0e0a673c090 / e0e0a673c090.clean.md — Agentic Workflow: Using agents to automate tasks like setting up OpenClaw or generating restaurant menus, reducing the need for manual coding. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Actionability: Organization should facilitate task completion, not just create an illusion of order. (chunk_001) +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Agent Mode: A feature of ChatGPT that allows it to perform tasks requiring internet browsing and interaction with other tools. It combines the capabilities of "Operator" (web browsing) and "Deep Research" (complex question answering and reasoning). chunk_001 +- source: 07dded635426 / 07dded635426.source_card.md — Context Engineering: Evolving from prompt engineering, it focuses on curating the perfect context for AI coding agents to perform tasks effectively. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Least Privilege Principle: Granting tools and agents only the minimum necessary permissions to perform their tasks. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Role-Task-Format: Структура промпта, определяющая роль исполнителя, задачу и желаемый формат вывода. chunk_001 +- source: 249e4828d393 / 249e4828d393.source_card.md — Distill: Extracting core insights from information (e.g., progressive summarization). +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Mastering AI evaluation from playground to production using BrainTrust. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. +- source: 43a127fe7f68 / 43a127fe7f68.source_card.md — Курс "From Zero to Deployed App" обучает использованию Codex для создания и развертывания приложений с нуля. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Retrieval-Augmented Generation (RAG): A technique that augments LLM input with relevant information retrieved from a knowledge base to improve response quality. chunk_001 +- source: 67326d3d3a36 / 67326d3d3a36.source_card.md — * Документное предпроцессирование: Процесс подготовки документов для использования в RAG-системе, включающий извлечение текста, очистку и разбиение на фрагменты (chunks). +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Subagents: Specialized agents within Claude Code that automate specific tasks. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Sub-agents: Agents that can be spawned by a parent agent to perform specific tasks. +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — Task Management System: База данных с фильтрами для нераспределенных, просроченных и делегированных задач. +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Prompt Chaining: Using a sequence of prompts to achieve a complex task. +- source: 999f4a87cc93 / 999f4a87cc93.source_card.md — * Задачи (Tasks): Отдельные шаги, выполняемые ролями. +- source: a191c67d1422 / a191c67d1422.source_card.md — OpenAI Codex: AI-инженер для разработки программного обеспечения. +- confidence: strong + +## Use Case: Build financial analytics documentation from KB + +### Goal +Use source-backed KB material to perform `Build financial analytics documentation from KB` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Build financial analytics documentation from KB. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: a2c848152155 / a2c848152155.source_card.md — The importance of execution and discipline over intelligence for achieving success, particularly financial success. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic coding and the use of AI tools like Claude, Code, and Opus for building AI systems. +- source: 64d02db90f0f / 64d02db90f0f.clean.md — Autonomy Sliders: Allow users to adjust the level of LLM autonomy (e.g., from tab completion to full repo modification). +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 08487a9bb796 / 08487a9bb796.source_card.md — Build Mode: Режим в Cursor, где происходит написание кода и тестов в соответствии с принципами TDD. +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Secret Protection: Avoiding hardcoding secrets, using environment variables or secure vaults, and preventing secrets from being logged or exposed. +- source: 249e4828d393 / 249e4828d393.source_card.md — Building a second brain using a system of interconnected digital tools. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Memory: A system for Co-work to recall significant information from past interactions. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Networking and building connections through scientific principles of human behavior. +- source: 4c82990cad09 / 4c82990cad09.source_card.md — not found in source +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic Engineering: A new role where engineers build and manage agents that run applications, rather than working directly on applications. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Retrieval-Augmented Generation (RAG): A technique that augments LLM input with relevant information retrieved from a knowledge base to improve response quality. chunk_001 +- source: 5869f3fbae72 / 5869f3fbae72.source_card.md — Создание финансового дашборда в Excel. +- source: 65a964c92095 / 65a964c92095.source_card.md — Создание трехкомпонентной финансовой модели в Excel. +- source: 999f4a87cc93 / 999f4a87cc93.source_card.md — * RLHF (Reinforcement Learning from Human Feedback): Механизм обучения с подкреплением на основе обратной связи от человека, используемый для улучшения результатов ИИ. +- source: bdbbb788b09a / bdbbb788b09a.source_card.md — not found in source +- source: dcd4f8b3b6db / dcd4f8b3b6db.source_card.md — not found in source +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Visualization: Graphical representation of key metrics and insights derived from the data. +- confidence: strong + +## Use Case: Create AI OS workflow map + +### Goal +Use source-backed KB material to perform `Create AI OS workflow map` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Create AI OS workflow map. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — BrainTrust SDK: Allows for programmatic management of evaluations, enabling integration into CI/CD pipelines and custom workflows. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Network Mapping: Understanding your existing network and how you are connected, rather than just trying to add new contacts. (chunk_001) +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Using "Best of N" skill: The parent agent creates sub-agents, each with its own worktree, and then compares their results. +- source: 917028de5eb3 / 917028de5eb3.source_card.md — Setup: Initialize Empirical in an empty directory using `npx empirical init`. This creates a configuration file (`empirical.rc.json`). +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — AI Developer Workflows (ADWs): Structured processes for developing with AI agents. +- source: cde291adf7e0 / cde291adf7e0.source_card.md — Использование динамического контента: В шаблонах использовать синтаксис Templator для вставки динамических полей, таких как `{{date:YYYY-MM-DD}}`, `{{randomNote}}`, `{{filesCreatedToday}}`. , +- source: dbf18765cdbb / dbf18765cdbb.source_card.md — DocETL: Проект для обработки неструктурированных данных с помощью LLM, структурирующий workflow как ETL-процесс (MapReduce). +- source: ead625ef0597 / ead625ef0597.source_card.md — Workflow for managing and sharing research reports generated by ChatGPT Pro's Deep Research feature. +- source: f35e19a30878 / f35e19a30878.source_card.md — Slash Commands: Commands like `/init`, `/compact`, `/review` that streamline workflows. +- source: 3856ddacffbb / 3856ddacffbb.clean.md — Create color styles with variations (e.g., 100%, 80%, 60%) using "Tailwind CSS Color Generator." +- source: 64d02db90f0f / 64d02db90f0f.clean.md — Generation-Verification Loop: A workflow where LLMs generate outputs, and humans verify and refine them. +- source: 6928276ccc75 / 6928276ccc75.clean.md — Запросить у Cloud Code создание навыка (например, `create a new code review skill`). +- source: dbf18765cdbb / dbf18765cdbb.clean.md — ETL-фрейминг: Применение Map (обработка каждого документа) и Reduce (агрегация результатов). +- source: f35e19a30878 / f35e19a30878.clean.md — Skills: Create reusable tasks (e.g., `deploy`) in `~/.cloud/skills/` or project-specific `/.cloud/skills/`. +- source: WORKFLOW_MAP / WORKFLOW_MAP.md — Source file references this area: WORKFLOW_MAP.md +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Actionability: Organization should facilitate task completion, not just create an illusion of order. (chunk_001) +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Workflow: A sequence of actions or steps that Agent Mode can execute. chunk_002 +- confidence: strong + +## Use Case: Audit a KB package before upload + +### Goal +Use source-backed KB material to perform `Audit a KB package before upload` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Audit a KB package before upload. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Cross-reference Research: Analyzing uploaded documents and cross-referencing them with live data or web research. chunk_002 +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Plugins: Bundles of related skills and connectors that provide pre-packaged functionalities. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Docker Image: A lightweight, standalone, executable package that includes everything needed to run a piece of software, including the code, runtime, system tools, system libraries, and settings. chunk_007 +- source: 07dded635426 / 07dded635426.source_card.md — PIV Loop (Plan, Implement, Validate): A workflow methodology that can be packaged into Archon. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Regular Audits: Periodically reviewing MCP configurations, tools, and privileges. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Для сложных задач использовать фразу "Think through this step by step before giving your answer" (Chain of Thought). chunk_001 +- source: 34e7699387aa / 34e7699387aa.source_card.md — Настройка режимов работы (Ask Before Edits, Edit Automatically, Plan Mode, Bypass Permissions). +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Ask Permissions: Claude Code requests approval before making changes or running commands. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Hooks: A feature in Cloud Code that allows for the execution of scripts after tool usage (post-tool-use hooks) or before tool usage (pre-tool-use hooks) within agents, enabling self-validation. +- source: 590111c507a0 / 590111c507a0.source_card.md — Implementing User Approval: Add a "User Approval" node to pause the workflow and await user confirmation before proceeding. chunk_005 +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Plan Mode: A mode in Claude Code where the AI generates a plan before executing code. +- source: ad823fa1bb00 / ad823fa1bb00.source_card.md — Risk of data exposure if Travel Mode is not activated before inspections. +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Ensure a model is loaded in the WebUI before attempting to access it via the API. +- source: c9f2ad11f7a3 / c9f2ad11f7a3.source_card.md — Режимы работы инструментов: Bypass Permissions (полная свобода действий), Ask Before Edit (запрос разрешения перед действием), Edit Automatically (частичный запрос разрешения), Plan Mode (для планирования задач). , +- source: ce75e2729317 / ce75e2729317.source_card.md — Загрузка файлов: Перетащить файлы в проект или нажать "Upload". Файлы, загруженные в проект, доступны во всех чатах этого проекта. +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Data Preparation: Essential steps required before loading data into the dashboard, including matching column structure and removing extraneous columns. +- source: edbed5966c30 / edbed5966c30.source_card.md — Update Playwright to the latest version before using agents. +- source: f35e19a30878 / f35e19a30878.source_card.md — Hooks: Shell commands that run automatically before or after Cloud Code actions, such as code formatting. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — LLMs can be "dumb" and may miss details, insert incorrect packages/versions, or ignore previous patterns as context increases. +- source: 23b36f7b46ef / 23b36f7b46ef.clean.md — Chain of Thought: Для сложных задач используйте фразу "Think through this step by step before giving your answer". +- confidence: strong + +## Use Case: Turn Open WebUI retrieval into ChatGPT synthesis + +### Goal +Use source-backed KB material to perform `Turn Open WebUI retrieval into ChatGPT synthesis` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Turn Open WebUI retrieval into ChatGPT synthesis. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — GraphRAG (Graph Retrieval-Augmented Generation) +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: b6013271d9c2 / b6013271d9c2.source_card.md — Setting up a local LLM server using Ollama and accessing it via a WebUI and API. +- source: 013153410460 / 013153410460.clean.md — Chain-of-Thought Workflows: Break complex tasks into sequential steps (e.g., outline → draft → format). +- source: 3951e9bce9a7 / 3951e9bce9a7.clean.md — Порт 11434 используется для API, который OpenWebUI будет использовать для взаимодействия с моделями. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. +- source: 013153410460 / 013153410460.source_card.md — Chain-of-Thought Workflows: Breaking down complex tasks into sequential, manageable steps. +- source: 02d44e99714a / 02d44e99714a.source_card.md — Codex в VS Code: Интеграция модели Codex от OpenAI в среду разработки Visual Studio Code для помощи в написании кода. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — ChatGPT Agent Mode +- source: 07dded635426 / 07dded635426.source_card.md — RAG (Retrieval-Augmented Generation): Used for course and workshop navigation within the Dynamis community platform. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Server Shadowing (Imposter): Tricking an agent into connecting to a fake MCP server that impersonates a legitimate one. +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — GraphRAG (Graph Retrieval Augmented Generation) как продвинутый метод генерации текста, использующий графовые базы данных для более точного и контекстно-зависимого поиска информации по сравнению с традиционным RAG. +- source: 249e4828d393 / 249e4828d393.source_card.md — Capture: Saving information into the system. +- source: 2a64e6372d59 / 2a64e6372d59.source_card.md — OpenWebUI: интерфейс для тестирования производительности. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Configure Personal Preferences: Paste the generated personal preferences into Claude's general settings or Co-work's global instructions. +- source: 36441a0ec2a9 / 36441a0ec2a9.source_card.md — Установка и настройка OpenAI Codex в Visual Studio Code. +- source: 3926ee9efdc4 / 3926ee9efdc4.source_card.md — Создание "второго мозга" с использованием Obsidian и Cloud Code. +- source: 39466d759b5a / 39466d759b5a.source_card.md — RAG (Retrieval Augmented Generation): Технология, которая дополняет генерацию ответов языковой моделью (LLM) путем извлечения релевантной информации из внешних источников данных. +- source: 3951e9bce9a7 / 3951e9bce9a7.source_card.md — not found in source +- source: 4648229aced7 / 4648229aced7.source_card.md — Codex CLI: Инструмент командной строки от OpenAI для генерации кода. +- confidence: strong + +## Use Case: Build project-specific compact context package + +### Goal +Use source-backed KB material to perform `Build project-specific compact context package` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Build project-specific compact context package. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: f35e19a30878 / f35e19a30878.clean.md — Cloud.md: Project memory file for persistent context. +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Claude Code: An AI agent for building applications, accessible via web, desktop app, and CLI. It aims to enable non-technical users to create applications. +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic Engineering: A new role where engineers build and manage agents that run applications, rather than working directly on applications. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — Docker Image: A lightweight, standalone, executable package that includes everything needed to run a piece of software, including the code, runtime, system tools, system libraries, and settings. chunk_007 +- source: f35e19a30878 / f35e19a30878.source_card.md — Prompt Engineering: Crafting clear and specific prompts to guide the AI, specifying files, functions, and expected behavior. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Cloud Code: A platform for defining project structure and rules, enabling AI to implement functions within specified constraints. It allows for programmable context engineering. +- source: 1d917a33ec0f / 1d917a33ec0f.clean.md — agents.md: File for project-specific instructions and agent specialization. +- source: 205904a12467 / 205904a12467.source_card.md — Light version: A brief weekly planning session (20-30 minutes) focused on clearing the task manager inbox, organizing notes, and reviewing active projects. (clean_note, chunk_001) +- source: 249e4828d393 / 249e4828d393.source_card.md — Building a second brain using a system of interconnected digital tools. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Networking and building connections through scientific principles of human behavior. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Entity Extraction: The process of identifying entities and their relationships from text, often using LLMs, to build a knowledge graph. chunk_002 +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: 6928276ccc75 / 6928276ccc75.source_card.md — MCP-серверы: Инструменты, расширяющие функциональность Cloud Code, подключаемые к внешним сервисам (GitHub, Context 7, Playwright). +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Cloud.md: A file used to provide Claude Code with context and instructions about a codebase. +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — AIDR: A specific AI coding assistant used in the demonstration. +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Organize: Categorizing tasks into contexts or locations. (chunk_001, chunk_002) +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic coding and the use of AI tools like Claude, Code, and Opus for building AI systems. +- source: 3f8ac3d990d2 / 3f8ac3d990d2.clean.md — Always provide clear context and constraints (tone, length, format). +- confidence: strong + +## Use Case: Prepare QA questions for a new knowledge project + +### Goal +Use source-backed KB material to perform `Prepare QA questions for a new knowledge project` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Prepare QA questions for a new knowledge project. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 8a6e91fa1ac4 / 8a6e91fa1ac4.source_card.md — PARA Method: Система организации файлов (Projects, Areas, Resources, Archives). +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Architect Mode: A prompt chain technique within AIDR involving two models: an architect for drafting and an editor for refining code. +- source: abd78d54bbc2 / abd78d54bbc2.source_card.md — Clarify: Determining the next physical action for each task. (chunk_001) +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 249e4828d393 / 249e4828d393.source_card.md — Second Brain: A digital system for managing information, offloading cognitive work, and retrieving information when needed. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Claude Code: A comprehensive tutorial on using Claude Code, an AI-powered coding agent, for application development. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Weak Ties: Acquaintances you haven't spoken to in a while, who can lead to new opportunities. (clean_note) +- source: 5230e12a162c / 5230e12a162c.source_card.md — Agentic Engineering: A new role where engineers build and manage agents that run applications, rather than working directly on applications. +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — Large Language Models (LLMs): AI models trained on vast text data for understanding and generating human-like text. chunk_001 +- source: 70e04c8ede13 / 70e04c8ede13.source_card.md — Workflow for using Claude Code effectively. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Agent Skills: Reusable blocks of instructions for agents. +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Password managers are digital vaults for securely storing and generating strong, unique passwords for online accounts, simplifying management by requiring only one master password. +- source: d6cc85922a4a / d6cc85922a4a.source_card.md — SWE-bench: A benchmark for evaluating AI software development agents, consisting of real GitHub issues and pull requests. It follows an arrange-act-assert structure similar to unit testing. chunk_002, chunk_003 +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Spend Analysis Dashboard by SCM Dojo for analyzing procurement spend in Excel. +- source: f35e19a30878 / f35e19a30878.source_card.md — Cloud Code: AI-assisted coding assistant for the terminal. +- source: fb04f7f38c41 / fb04f7f38c41.source_card.md — Cloud Code: A platform for defining project structure and rules, enabling AI to implement functions within specified constraints. It allows for programmable context engineering. +- source: 079e99b44ad4 / 079e99b44ad4.clean.md — Retrieve relevant context for a user question. +- source: 576536aea528 / 576536aea528.clean.md — Trusting the system: Belief that processed items won't be forgotten. +- confidence: strong + +## Use Case: Build reusable prompt library from source cards + +### Goal +Use source-backed KB material to perform `Build reusable prompt library from source cards` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Build reusable prompt library from source cards. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Skills: Reusable sets of instructions for Claude to perform specific tasks. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic coding and the use of AI tools like Claude, Code, and Opus for building AI systems. +- source: 07dded635426 / 07dded635426.source_card.md — Archon is a framework for building and managing AI coding workflows, enabling the creation of custom "harnesses" that wrap AI coding agents to make them more reliable and efficient. +- source: 590111c507a0 / 590111c507a0.source_card.md — OpenAI Agent Builder +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — Agent Skills: Reusable blocks of instructions for agents. +- source: 917028de5eb3 / 917028de5eb3.source_card.md — Empirical is an open-source library and UI tool designed to help developers evaluate and test Large Language Models (LLMs). It allows for the comparison of different LLMs and versions, ensuring performance and identifying regressions. +- source: f92fa40d603a / f92fa40d603a.source_card.md — Визуальный конструктор оценок (Visual Eval Builder): Инструмент в продукте OpenAI для оценок, который упрощает создание наборов данных и аннотаций. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Closure: Decisively closing projects to prevent unfinished work from cluttering attention and to keep the system lightweight. (chunk_001) +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Prompting Strategy: Prompts should be directive, designed to elicit action, and combine research, analysis, logic, and decision-making. Use an action-and-output structure rather than question-and-answer. chunk_002 +- source: 08487a9bb796 / 08487a9bb796.source_card.md — Build Mode: Режим в Cursor, где происходит написание кода и тестов в соответствии с принципами TDD. +- source: 0937003ca29f / 0937003ca29f.source_card.md — Building a Second Brain: A Public Notebook for Knowledge Management +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Secret Protection: Avoiding hardcoding secrets, using environment variables or secure vaults, and preventing secrets from being logged or exposed. +- source: 23b36f7b46ef / 23b36f7b46ef.source_card.md — Megaprompts: Комплексные инструкции, объединяющие роль, контекст, задачу, ограничения и примеры, для повторяющихся и сложных задач. chunk_001 +- source: 249e4828d393 / 249e4828d393.source_card.md — Building a second brain using a system of interconnected digital tools. +- source: 28f3d033d1fc / 28f3d033d1fc.source_card.md — Source card generation failed and requires human review (chunk_001). +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Mastering AI evaluation from playground to production using BrainTrust. +- source: 33e44990acd7 / 33e44990acd7.source_card.md — * Добавление метаданных, тегов и дополнительной информации к заметкам и идеям в базе данных библиотеки (Library database). +- source: 39c554b0db89 / 39c554b0db89.source_card.md — Claude Code: An AI agent for building applications, accessible via web, desktop app, and CLI. It aims to enable non-technical users to create applications. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Networking and building connections through scientific principles of human behavior. +- source: 4c82990cad09 / 4c82990cad09.source_card.md — not found in source +- confidence: strong + +## Use Case: Create operational documentation for finance/audit automation + +### Goal +Use source-backed KB material to perform `Create operational documentation for finance/audit automation` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Create operational documentation for finance/audit automation. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: 0084501c4c44 / 0084501c4c44.source_card.md — The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. +- source: 1d9d14366b22 / 1d9d14366b22.source_card.md — Input Sanitization: Cleaning and validating all inputs and outputs for AI agents to prevent injection attacks. +- source: 3036b0bfee5a / 3036b0bfee5a.source_card.md — Folder Hierarchy: Structuring folders on a local computer to organize projects and tasks for Co-work. +- source: 6e8bdf5c115f / 6e8bdf5c115f.source_card.md — Budget variance analysis is a key tool for financial professionals to monitor and improve financial performance by comparing actual financial performance with budgeted figures to identify favorable or adverse variances. +- source: acb1fa9889d4 / acb1fa9889d4.source_card.md — Agentic coding and the use of AI tools like Claude, Code, and Opus for building AI systems. +- source: e687488788a3 / e687488788a3.source_card.md — Driver-based forecasting +- source: ead625ef0597 / ead625ef0597.source_card.md — Workflow for managing and sharing research reports generated by ChatGPT Pro's Deep Research feature. +- source: f35e19a30878 / f35e19a30878.source_card.md — Cloud Code: AI-assisted coding assistant for the terminal. +- source: 46cdc78c69af / 46cdc78c69af.clean.md — Rolling forecast: Краткосрочный прогноз, обновляемый ежемесячно или ежеквартально. +- source: 6e8bdf5c115f / 6e8bdf5c115f.clean.md — Favorable Variance: Actual performance exceeds budgeted expectations (e.g., reduced costs, higher efficiencies). +- source: e0e0a673c090 / e0e0a673c090.clean.md — Agent-Native Infrastructure: Future systems designed for agents, with sensors and actuators replacing traditional human-centric interfaces. +- source: e687488788a3 / e687488788a3.clean.md — Business Drivers: Factors (e.g., marketing spend, price inflation) that directly impact financial performance. +- source: f35e19a30878 / f35e19a30878.clean.md — Cloud.md: Project memory file for persistent context. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Agent Mode: A feature of ChatGPT that allows it to perform tasks requiring internet browsing and interaction with other tools. It combines the capabilities of "Operator" (web browsing) and "Deep Research" (complex question answering and reasoning). chunk_001 +- source: 16448a566572 / 16448a566572.source_card.md — Service Account Token: A token used for automated authentication of the 1Password CLI in CI/CD pipelines and remote workflows. +- source: 1a2ef33722e9 / 1a2ef33722e9.source_card.md — Recovery Code: A unique code generated by 1Password that is essential for confirming access to the account during recovery. +- source: 1aac8f288c90 / 1aac8f288c90.source_card.md — Automation: Функция для настройки автоматического выполнения задач по расписанию (аналогично cron jobs). +- source: 1ab3cfca4b54 / 1ab3cfca4b54.source_card.md — The importance of the weekly review in the Getting Things Done (GTD) methodology for maintaining a clean and current system, with a focus on starting with the calendar and waiting-for list for beginners. +- confidence: strong + +## Use Case: Decide when to add embeddings / RAG / Qdrant + +### Goal +Use source-backed KB material to perform `Decide when to add embeddings / RAG / Qdrant` with explicit evidence and confidence. + +### Inputs +- Retrieved KB excerpts. +- Source card or clean note references. +- Compact package navigation files when relevant. + +### Steps +1. Collect the relevant retrieved excerpts. +2. List evidence filenames before synthesis. +3. Separate facts from interpretation. +4. Produce the requested output. +5. Mark weak or missing evidence explicitly. + +### Output +- A grounded task brief, workflow note, QA checklist, synthesis, or documentation block. + +### Prompt template +```text +Use only the provided KB excerpts to work on: Decide when to add embeddings / RAG / Qdrant. +Separate Facts, Interpretation, Operational use, Limitations, Evidence, and Confidence. +If evidence is weak, write: Evidence is weak / not enough source support. +``` + +### Risks +- Weak evidence may lead to overconfident synthesis. +- Retrieved chunks may omit necessary context. + +### Facts +- Evidence matches found: 20. + +### Interpretation +- This use case is a deterministic operating skeleton, not a claim of complete synthesis. + +### Operational use +- Use the prompt template and evidence checklist before producing final work. + +### Limitations +- Refine with deterministic usage examples after automated acceptance evidence exists. + +### Evidence +- source: 249e4828d393 / 249e4828d393.source_card.md — Second Brain: A digital system for managing information, offloading cognitive work, and retrieving information when needed. +- source: 2fdfc1082594 / 2fdfc1082594.source_card.md — Iteration: Continuously improving evaluations by adding data, refining scores, and enhancing the application. +- source: 590111c507a0 / 590111c507a0.source_card.md — Agent Builder: A visual tool for prototyping agentic services, part of the Agent Kit. It allows users to drag and drop nodes onto a canvas to build complex agentic workflows. chunk_001 +- source: dcd5ff830c09 / dcd5ff830c09.source_card.md — Refresh All: A function to update the dashboard with newly added or modified data. +- source: 0084501c4c44 / 0084501c4c44.source_card.md — Tool Agnostic: The method can be applied across various tools like cloud storage, note apps, email, and task managers. (chunk_001, chunk_002) +- source: 013153410460 / 013153410460.source_card.md — Verbosity Control: Specifying the desired output length (e.g., word count, paragraph count). +- source: 07dded635426 / 07dded635426.source_card.md — RAG (Retrieval-Augmented Generation): Used for course and workshop navigation within the Dynamis community platform. +- source: 0937003ca29f / 0937003ca29f.source_card.md — When choosing an application for a second brain, consider personal criteria and user archetypes. +- source: 2167d88e7b28 / 2167d88e7b28.source_card.md — GraphRAG (Graph Retrieval Augmented Generation) как продвинутый метод генерации текста, использующий графовые базы данных для более точного и контекстно-зависимого поиска информации по сравнению с традиционным RAG. +- source: 3b0a7ae4d3f7 / 3b0a7ae4d3f7.source_card.md — Network Mapping: Understanding your existing network and how you are connected, rather than just trying to add new contacts. (chunk_001) +- source: 54be62f84a2a / 54be62f84a2a.source_card.md — GraphRAG (Graph Retrieval-Augmented Generation) +- source: 67326d3d3a36 / 67326d3d3a36.source_card.md — Создание локального пайплайна Retrieval-Augmented Generation (RAG) с нуля. +- source: 71f93d41fe9d / 71f93d41fe9d.source_card.md — New Worktree Implementation: Reimplemented as a slash command (`/worktree`) and a "Best of N" skill, leveraging agent skills and sub-agents. This drastically reduced the codebase. +- source: 8e72291121c6 / 8e72291121c6.source_card.md — Two-Factor Authentication (2FA): An additional layer of security requiring a second form of verification. , +- source: 94241ec4bed1 / 94241ec4bed1.source_card.md — Adding New Commands to a Knowledge Base Project: +- source: f35e19a30878 / f35e19a30878.source_card.md — MCP Server Integration: Add external services using `cloud mcp add` with appropriate tokens. +- source: 013153410460 / 013153410460.clean.md — Verbosity Control: Specify output length (e.g., "bottom line in 100 words or less," "3-5 paragraph explanation"). +- source: 079e99b44ad4 / 079e99b44ad4.clean.md — Retrieval: Process of fetching relevant context using embeddings. +- source: 01a7d7e5f957 / 01a7d7e5f957.source_card.md — Поддержка агентских навыков в Codex. +- source: 06e822f5f136 / 06e822f5f136.source_card.md — Leveraging Automation: Subscribe to accounts on other sites (e.g., Google, Canva, GitHub) to allow ChatGPT to pull data directly. Connect ChatGPT to automation clients like N8N for pre-scheduled automations. chunk_002 +- confidence: strong diff --git a/publish/chatgpt_project_compact_general/KB__CARD_SCHEMA.md b/publish/chatgpt_project_compact_general/KB__CARD_SCHEMA.md new file mode 100644 index 0000000..b0b0303 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__CARD_SCHEMA.md @@ -0,0 +1,40 @@ +# Card Passport + +## Mandatory fields +- card_id +- card_type +- source_id +- related_source_ids +- title +- summary +- key_concepts +- workflows +- patterns +- anti_patterns +- risks +- evidence +- confidence +- review_status +- related_use_cases +- created_at +- updated_at + +## Required card types +- Source Card +- Concept Card +- Workflow Card +- Pattern Card +- QA Card +- Navigation Card +- Use Case Card + +## Required review_status values +- approved +- review_required +- weak +- unsupported +- deprecated +- duplicate_candidate + +## Rule +Cards without a complete passport are not production-approved and must be listed in `KB__REVIEW_QUEUE.md`. diff --git a/publish/chatgpt_project_compact_general/KB__CHANGELOG.md b/publish/chatgpt_project_compact_general/KB__CHANGELOG.md new file mode 100644 index 0000000..68e270a --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__CHANGELOG.md @@ -0,0 +1,33 @@ +# KB Changelog + +## Version +managed-knowledge-system-v1 + +## Date +2026-05-28T10:12:19+00:00 + +## Added +- Release manifest layer. +- Card passport schema. +- Confidence rules. +- Promotion gates. +- Retrieval QA layer. +- Deduplication rules. +- Automated review queue contract. +- Use-case routing contract. + +## Updated +- Canonical pipeline now ends after automated acceptance, next scope decision, and use-case routing. +- Smoke QA is a pre-acceptance gate, not final readiness. + +## Deprecated +- Treating compact package export as production readiness. + +## Removed +- None. + +## Residual Risks +- Weak or unsupported synthesis must remain blocked from production promotion. + +## Open Review Items +- See `KB__REVIEW_QUEUE.md`. diff --git a/publish/chatgpt_project_compact_general/KB__CONFIDENCE_RULES.md b/publish/chatgpt_project_compact_general/KB__CONFIDENCE_RULES.md new file mode 100644 index 0000000..25d4ebf --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__CONFIDENCE_RULES.md @@ -0,0 +1,28 @@ +# Confidence Rules + +## Confidence Levels +- strong +- medium +- weak +- unsupported + +## strong +Confirmed by source cards, canonical KB, and multiple grounded references. + +## medium +Confirmed by one package file or limited evidence. + +## weak +Interpretation, synthesis, or recommendation. + +## unsupported +Not found in the KB. + +## Promotion Rules +Weak and unsupported items: +- cannot be promoted to canonical concepts; +- cannot be included in operational frameworks as grounded fact; +- cannot be used as grounded fact; +- require automated review queue tracking. + +Unsupported items block promotion. Weak items are allowed only when listed in `KB__REVIEW_QUEUE.md` and excluded from production-approved claims. diff --git a/publish/chatgpt_project_compact_general/KB__DEDUPLICATION.md b/publish/chatgpt_project_compact_general/KB__DEDUPLICATION.md new file mode 100644 index 0000000..78538b0 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__DEDUPLICATION.md @@ -0,0 +1,22 @@ +# Deduplication + +## Deduplication Rules +Before publish, automated checks must look for: +- duplicate source cards; +- repeated concepts; +- overlapping workflows; +- multiple names for the same idea; +- stale versions; +- obsolete cards; +- conflicting canonical definitions. + +## Merge Policy +When duplicates are found: +1. Preserve strongest evidence. +2. Preserve traceability. +3. Merge aliases. +4. Mark deprecated versions. +5. Keep canonical card_id stable. + +## Safety rule +Duplicates are not silently deleted. Deprecated and duplicate candidates are listed in `KB__REVIEW_QUEUE.md`. diff --git a/publish/chatgpt_project_compact_general/KB__PROMOTION_GATES.md b/publish/chatgpt_project_compact_general/KB__PROMOTION_GATES.md new file mode 100644 index 0000000..00b9e70 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__PROMOTION_GATES.md @@ -0,0 +1,39 @@ +# Acceptance / Promotion Gates + +## Publish gate +- publish package built successfully. + +## Boundary gate +- no `.txt` files; +- no raw chunks; +- no temp files; +- no logs; +- no source-card paths; +- no unresolved duplicate drafts. + +## Preservation gate +- helper/navigation files are preserved. + +## Consumer QA gate +- smoke questions pass with grounded answers. + +## Acceptance gate +- pass/fail recorded; +- residual risks recorded; +- known gaps recorded; +- next scope recorded. + +## Promotion gate +Only after acceptance gate may the system proceed to: +- embeddings; +- semantic search; +- vector DB; +- web UI; +- agentic workflows; +- autonomous retrieval. + +## Automated blockers +- `unsupported` item present outside review queue; +- weak item promoted as canonical fact; +- retrieval QA unstable; +- boundary gate failure. diff --git a/publish/chatgpt_project_compact_general/KB__RELEASE_MANIFEST.md b/publish/chatgpt_project_compact_general/KB__RELEASE_MANIFEST.md new file mode 100644 index 0000000..bcc622f --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__RELEASE_MANIFEST.md @@ -0,0 +1,74 @@ +# KB Release Manifest + +## kb_version +managed-knowledge-system-v1 + +## build_date +2026-05-28T10:12:21+00:00 + +## acceptance_status +pass + +## promotion_status +pass + +## source_inputs +- source_count: 398 + +## processed_transcripts +- controlled by deterministic publish pipeline before runtime governance checks. + +## generated_cards +- card_count: 398 + +## publish_outputs +- `publish/` + +## compact_package_outputs +- `publish/chatgpt_project_compact/` + +## smoke_qa_status +- retrieval_qa_passed: 3 +- retrieval_qa_failed: 0 + +## residual_risks +- weak_count: 293 +- unsupported_count: 0 +- duplicate_conflicts: 0 + +## Weak evidence meaning +`weak_count` means the card has deterministic evidence, but not enough evidence density for `medium` or `strong` confidence. Weak cards remain visible in `publish/weak_evidence_backlog.json` for automated prioritization; they are not manual review blockers unless they become unsupported or production-facing claims. + +## Optional route status +Gemini skipped is not a blocker when `GEMINI_API_KEY` is absent because deterministic governance is authoritative for this release. Ollama may be available, but it is only an assisted route and is not authority for acceptance or promotion. + +## blocked_items +- review_required_count: 0 + +## next_scope +- Use `publish/weak_evidence_backlog.json` for automated prioritization before enabling embeddings, semantic search, vector DB, web UI, or agents. + +## promoted_to_production +yes + +## production_ready +true + +## Counts +- source_count: 398 +- card_count: 398 +- weak_count: 293 +- unsupported_count: 0 +- retrieval_qa_passed: 3 +- retrieval_qa_failed: 0 +- review_required_count: 0 + +## Control artifacts +- `publish/governance_state.json` +- `publish/card_validation_report.json` +- `publish/deduplication_report.json` +- `publish/review_queue.json` +- `publish/retrieval_qa_results.json` +- `publish/acceptance_report.json` +- `publish/promotion_report.json` +- `publish/release_manifest.json` diff --git a/publish/chatgpt_project_compact_general/KB__RETRIEVAL_QA.md b/publish/chatgpt_project_compact_general/KB__RETRIEVAL_QA.md new file mode 100644 index 0000000..418bc49 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__RETRIEVAL_QA.md @@ -0,0 +1,29 @@ +# Retrieval QA + +## Purpose +Automated retrieval QA verifies local generated files before the package is treated as accepted. + +## Checks +1. Expected file exists. +2. Expected section exists. +3. Traceability text exists. +4. Grounded evidence exists. +5. Unsupported claims are absent or listed. +6. Confidence labels exist. +7. Hallucinated synthesis is blocked. +8. Weak/unsupported content is not promoted as canonical or operational fact. + +## Retrieval QA Output +- question +- expected_source +- actual_source +- retrieval_status +- grounding_status +- confidence_status +- unsupported_claims +- final_verdict + +## Deterministic verdict rules +- `pass`: expected source, section, traceability, evidence, and confidence labels are present. +- `fail`: any required source or section is missing. +- `blocked`: unsupported or weak material is promoted as production-approved. diff --git a/publish/chatgpt_project_compact_general/KB__REVIEW_QUEUE.md b/publish/chatgpt_project_compact_general/KB__REVIEW_QUEUE.md new file mode 100644 index 0000000..7f26528 --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__REVIEW_QUEUE.md @@ -0,0 +1,11 @@ +# KB Review Queue + +## Summary +- item_count: 0 +- high_severity_count: 0 + +## Promotion impact +- Unsupported items block promotion. +- Weak items are tracked in `publish/weak_evidence_backlog.json` and are not manual queue blockers. + +## Items diff --git a/publish/chatgpt_project_compact_general/KB__USE_CASE_ROUTING.md b/publish/chatgpt_project_compact_general/KB__USE_CASE_ROUTING.md new file mode 100644 index 0000000..b6a47ca --- /dev/null +++ b/publish/chatgpt_project_compact_general/KB__USE_CASE_ROUTING.md @@ -0,0 +1,40 @@ +# Use Case Layer + +## Routing contract +Every strong concept, workflow, or pattern must map to an operational use case before production use. + +## Required routes +- analytical memo +- FP&A +- counterparty audit +- Power BI +- Codex tasks +- AI OS architecture +- model routing +- QA / review +- governance +- automation + +## Use Case Fields +- use_case_id +- applicable_roles +- required_confidence +- required_sources +- workflows_used +- operational_risks +- recommended_models + +## Automated routing rules +- Operational recommendations require `medium` or `strong` confidence. +- Weak use cases remain in `KB__REVIEW_QUEUE.md`. +- Unsupported use cases block promotion. +- Recommended models must be described as routing guidance, not as source facts. + +## User aliases +- `7 великих на GitHub` = Hamel Husain (`ba8f38829c4c`), Simon Willison (`047131d56e3f`), Sebastian Raschka (`0289a622670f`), Paul Gauthier (`1b55b74e10a7`), Jason Liu (`6d3f1535b610`), Georgi Gerganov (`fbca6860f502`), Phil Wang (`3aab3b710e61`). +- Route this alias to the seven source cards above before using the wider KB. + +## Current routing status +- weak_items: 1 +- unsupported_items: 0 +- promoted_to_production: no diff --git a/publish/chatgpt_project_compact_general/MANIFEST.md b/publish/chatgpt_project_compact_general/MANIFEST.md new file mode 100644 index 0000000..ba19585 --- /dev/null +++ b/publish/chatgpt_project_compact_general/MANIFEST.md @@ -0,0 +1,43 @@ +# Manifest + +## Generation timestamp +2026-05-28T10:12:19+00:00 + +## Included files +- `publish/chatgpt_project_compact/KB__00_INDEX.md` — 1933 bytes +- `publish/chatgpt_project_compact/KB__01_NAVIGATION.md` — 18371 bytes +- `publish/chatgpt_project_compact/KB__02_CONTENT.md` — 14422 bytes +- `publish/chatgpt_project_compact/KB__03_WORKFLOWS_TRACEABILITY.md` — 13716 bytes +- `publish/chatgpt_project_compact/KB__04_SMOKE_QA.md` — 5455 bytes +- `publish/chatgpt_project_compact/KB__CARD_SCHEMA.md` — 621 bytes +- `publish/chatgpt_project_compact/KB__CHANGELOG.md` — 712 bytes +- `publish/chatgpt_project_compact/KB__CONFIDENCE_RULES.md` — 702 bytes +- `publish/chatgpt_project_compact/KB__DEDUPLICATION.md` — 578 bytes +- `publish/chatgpt_project_compact/KB__PROMOTION_GATES.md` — 809 bytes +- `publish/chatgpt_project_compact/KB__RELEASE_MANIFEST.md` — 1479 bytes +- `publish/chatgpt_project_compact/KB__RETRIEVAL_QA.md` — 856 bytes +- `publish/chatgpt_project_compact/KB__REVIEW_QUEUE.md` — 897 bytes +- `publish/chatgpt_project_compact/KB__USE_CASE_ROUTING.md` — 954 bytes +- `publish/chatgpt_project_compact/MANIFEST.md` — 1532 bytes +- `publish/chatgpt_project_compact/README.md` — 1564 bytes + +## Skipped files +- `publish/markdown_kb/concepts_index.csv` — 1098 bytes — not a markdown file +- `publish/markdown_kb/sources_index.csv` — 189587 bytes — not a markdown file + +## Warnings +- Removed source-card path lines from AI context excerpts to keep compact package clean. +- Removed 1592 forbidden source/path lines from compact content. + +## Validation status +- output folder exists: pass +- exact required file count: pass +- all required files exist: pass +- compact files are UTF-8 readable: pass +- forbidden source paths excluded: pass +- manifest lists included files: pass +- manifest lists skipped files: pass +- managed pipeline present: pass +- promotion gates present: pass +- retrieval qa schema present: pass +- release manifest fields present: pass diff --git a/publish/chatgpt_project_compact_general/README.md b/publish/chatgpt_project_compact_general/README.md new file mode 100644 index 0000000..96504cf --- /dev/null +++ b/publish/chatgpt_project_compact_general/README.md @@ -0,0 +1,44 @@ +# Compact ChatGPT Project KB + +This folder contains a governed compact markdown package built from the published Knowledge Base output. + +## Upload into ChatGPT Project +Upload every file from `publish/chatgpt_project_compact` into the same ChatGPT Project knowledge area: + +- `KB__00_INDEX.md` +- `KB__01_NAVIGATION.md` +- `KB__02_CONTENT.md` +- `KB__03_WORKFLOWS_TRACEABILITY.md` +- `KB__04_SMOKE_QA.md` +- `KB__RELEASE_MANIFEST.md` +- `KB__CHANGELOG.md` +- `KB__REVIEW_QUEUE.md` +- `KB__CARD_SCHEMA.md` +- `KB__CONFIDENCE_RULES.md` +- `KB__PROMOTION_GATES.md` +- `KB__RETRIEVAL_QA.md` +- `KB__DEDUPLICATION.md` +- `KB__USE_CASE_ROUTING.md` +- `README.md` +- `MANIFEST.md` + +Use `KB__00_INDEX.md` as the starting point and `KB__04_SMOKE_QA.md` to verify retrieval quality. Final readiness requires automated gates in `KB__PROMOTION_GATES.md` and `KB__RELEASE_MANIFEST.md`. + +## Use with Open WebUI +Use Open WebUI as the working chat surface and keep this compact package as the ChatGPT Project reference package. When Open WebUI returns or retrieves a relevant chunk, compare it against the compact file and section names in this package before treating it as grounded. + +## What not to upload +Do not upload raw transcript text files, clean notes, source cards, chunks, temp files, logs, embeddings, vector database files, or unrelated workspace folders. + +## Update command +From the project root, run: + +```bash +python3 scripts/build_chatgpt_compact_kb.py +``` + +Optional: + +```bash +python3 scripts/build_chatgpt_compact_kb.py --max-file-mb 1 --output publish/chatgpt_project_compact +``` diff --git a/publish/chatgpt_project_compact_general/SYNTHESIS_MANIFEST.md b/publish/chatgpt_project_compact_general/SYNTHESIS_MANIFEST.md new file mode 100644 index 0000000..3540b39 --- /dev/null +++ b/publish/chatgpt_project_compact_general/SYNTHESIS_MANIFEST.md @@ -0,0 +1,53 @@ +# Synthesis Manifest + +## Generation timestamp +2026-05-28T10:12:19+00:00 + +## Inputs used +- `workspace/source_cards` +- `workspace/clean_notes` +- `publish/markdown_kb` +- `publish/chatgpt_project` + +## Outputs created +- `publish/chatgpt_project_compact/KB__05_CANONICAL_CONCEPTS.md` +- `publish/chatgpt_project_compact/KB__06_OPERATIONAL_FRAMEWORKS.md` +- `publish/chatgpt_project_compact/KB__07_PATTERNS_AND_FAILURES.md` +- `publish/chatgpt_project_compact/KB__08_USE_CASES_FOR_SERGEY.md` +- `publish/chatgpt_project_compact/KB__RELEASE_MANIFEST.md` +- `publish/chatgpt_project_compact/KB__REVIEW_QUEUE.md` +- `publish/chatgpt_project_compact/KB__USE_CASE_ROUTING.md` +- `publish/chatgpt_project_compact/SYNTHESIS_MANIFEST.md` + +## Concepts created +- 47 + +## Frameworks created +- 10 + +## Patterns created +- 8 + +## Anti-patterns created +- 8 + +## Evidence quality summary +- strong: 81 +- medium: 1 +- weak: 1 +- unsupported: 0 + +## Warnings +- Default output is deterministic synthesis scaffolding; weak evidence is marked instead of polished as fact. + +## Validation status +- all synthesis output files exist: pass +- outputs are UTF-8 readable: pass +- concept evidence and confidence present: pass +- framework required sections present: pass +- required anti-pattern present: pass +- raw transcript markers absent: pass +- release manifest governance fields present: pass +- review queue blocks unsupported items: pass +- use-case routing fields present: pass +- manifest warnings and evidence summary present: pass diff --git a/publish/chatgpt_project_compact_gold/KB__00_INDEX.md b/publish/chatgpt_project_compact_gold/KB__00_INDEX.md new file mode 100644 index 0000000..30fa7e2 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__00_INDEX.md @@ -0,0 +1,39 @@ +# Compact Gold ChatGPT Project KB Package + +## Package purpose +This package is prepared for ChatGPT Project upload and contains only the strongest currently approved card set. + +## Package rule +Gold includes `medium` or `strong` cards with `support_status=supported`, `review_status=approved`, valid schema, and at least two evidence references. + +## Current counts +- gold_cards: 105 +- source_count: 105 +- weak_cards_excluded: 293 +- unsupported_cards_excluded: 0 + +## Files to upload +- `KB__00_INDEX.md` +- `KB__01_NAVIGATION.md` +- `KB__02_CONTENT.md` +- `KB__03_WORKFLOWS_TRACEABILITY.md` +- `KB__04_SMOKE_QA.md` +- `KB__05_CANONICAL_CONCEPTS.md` +- `KB__06_OPERATIONAL_FRAMEWORKS.md` +- `KB__07_PATTERNS_AND_FAILURES.md` +- `KB__08_USE_CASES_FOR_SERGEY.md` +- `KB__CARD_SCHEMA.md` +- `KB__CHANGELOG.md` +- `KB__CONFIDENCE_RULES.md` +- `KB__DEDUPLICATION.md` +- `KB__PROMOTION_GATES.md` +- `KB__RELEASE_MANIFEST.md` +- `KB__RETRIEVAL_QA.md` +- `KB__REVIEW_QUEUE.md` +- `KB__USE_CASE_ROUTING.md` +- `MANIFEST.md` +- `README.md` +- `SYNTHESIS_MANIFEST.md` + +## Start here +Use `KB__02_CONTENT.md` as the primary factual source and `KB__03_WORKFLOWS_TRACEABILITY.md` for selection criteria. diff --git a/publish/chatgpt_project_compact_gold/KB__01_NAVIGATION.md b/publish/chatgpt_project_compact_gold/KB__01_NAVIGATION.md new file mode 100644 index 0000000..8e7efea --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__01_NAVIGATION.md @@ -0,0 +1,16 @@ +# Gold Navigation + +## How to use this package +- Start with `KB__00_INDEX.md`. +- Use `KB__02_CONTENT.md` for the selected supported cards. +- Use `KB__03_WORKFLOWS_TRACEABILITY.md` to verify why a card was admitted to Gold. +- Use `KB__04_SMOKE_QA.md` after upload to test grounding. + +## Included knowledge level +- Supported cards: 105 +- Confidence levels: medium, strong +- Weak cards: excluded +- Unsupported cards: excluded + +## Answer rule +Answers should cite `source_id`, `card_id`, and evidence references from `KB__02_CONTENT.md`. diff --git a/publish/chatgpt_project_compact_gold/KB__02_CONTENT.md b/publish/chatgpt_project_compact_gold/KB__02_CONTENT.md new file mode 100644 index 0000000..16ece20 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__02_CONTENT.md @@ -0,0 +1,2640 @@ +# Gold Supported Cards + +Total cards: 105 + +## 1. 20140516__Easy_to_Run_Data_Analysis_for_Accounts_Payable + +### Summary +Профилактические антифраудовые проверки для Accounts Payable, включая анализ номеров ID, телефонов, инвестиций, номеров счетов-фактур, социальных номеров, банковских счетов и адресов. + +### Passport +- card_id: `card_90d8005274fa` +- source_id: `8bd25f49e2b1` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/8bd25f49e2b1/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 2. 20200608__Webinar_Getting_started_as_a_1Password_administrator + +### Summary +1Password как инструмент для управления паролями и безопасностью в команде, включая процедуры приглашения пользователей, управления вольтами и группами, а также восстановления доступа. + +### Passport +- card_id: `card_5b07ebefe649` +- source_id: `094f121cf2f4` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/094f121cf2f4/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 3. 20200803__Why_Things_3_is_my_Favorite_GTD_Task_Manager + +### Summary +Things 3 — менеджер задач для устройств Apple, который отличается красивым дизайном, удобным интерфейсом и отсутствием временных меток у задач, что уменьшает стресс от пропущенных сроков. Приложение доступно только на устройствах Apple и требует единовременной покупки для всех платформ. + +### Passport +- card_id: `card_bb49f2d26a8a` +- source_id: `233806bbc22b` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/233806bbc22b/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 4. 20200820__My_Things_3_GTD_Setup_shortcuts_and_advanced_tags + +### Summary +Обзор приложения Things Free для управления задачами и продуктивности. + +### Passport +- card_id: `card_fe546147c93e` +- source_id: `252ce08af5f2` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/252ce08af5f2/chunk_manifest.csv` + +### Limitations +- Отсутствует информация о конкретных клавиатурных шорткатах для iPad. chunk_002 +- Не указаны все возможные группы тегов или их примеры. chunk_002 + + +## 5. 20201026__Things_3_Magic_Button + +### Summary +Функция Magic Plus Button в Things 3 + +### Passport +- card_id: `card_8141677c3ddd` +- source_id: `6677760fdf14` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/6677760fdf14/chunk_manifest.csv` + +### Limitations +- Как именно работает Magic Plus Button на iPadOS? `not found in source` +- Есть ли ограничения на количество элементов, которые можно добавить через Magic Plus Button? `not found in source` + + +## 6. 20210118__Things_3_Automation_with_Taskpaper_and_Drafts + +### Summary +Автоматизация создания списков задач в Things 3 с использованием Drafts и Things Parser. + +### Passport +- card_id: `card_f15faec79732` +- source_id: `855d843d1732` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/855d843d1732/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 7. 20220218__Variance_Analysis_Example_Actuals_vs_Budget + +### Summary +Анализ вариации между фактическими и бюджетными данными, включая расчет годовых показателей, создание динамических таблиц с использованием HLOOKUP и расчет процентов вариации. + +### Passport +- card_id: `card_c12bcaad3261` +- source_id: `17c0710bfebd` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/17c0710bfebd/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 8. 20220611__How_to_Organize_a_Project_with_Things_3_Apple_Notes + +### Summary +Организация выборов офицеров клуба с использованием Things 3 и Apple Notes. + +### Passport +- card_id: `card_4149ccd23c9b` +- source_id: `31c7d8979d66` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/31c7d8979d66/chunk_manifest.csv` + +### Limitations +* Short Summary `not found in source` +* Main Ideas `not found in source` +* Concepts `not found in source` +* Practical Rules `not found in source` +* Risks / Caveats `not found in source` +* Open Questions `not found in source` +* Review Notes `not found in source` + + +## 9. 20220929__Variance_Analysis_Budget_vs_Actual + +### Summary +Создание variance analysis chart в Tableau для сравнения бюджетных и фактических продаж по типам продуктов с использованием бар-чарта и Gantt-бара. + +### Passport +- card_id: `card_6750d732811e` +- source_id: `abdcb5dc5d78` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/abdcb5dc5d78/chunk_manifest.csv` + +### Limitations +- Как настроить отображение delta с использованием Alt-кода символа? (не найдено в источнике) +- Какие конкретные символы используются для отображения delta? (не найдено в источнике) + + +## 10. 20230207__The_3_Types_Of_Weekly_Review + +### Summary +Weekly planning sessions for productivity and focus. + +### Passport +- card_id: `card_3d6e2b17310f` +- source_id: `205904a12467` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/205904a12467/chunk_manifest.csv` + +### Limitations +- Specific tools or software recommended for task managers. (clean_note) +- How to handle unexpected tasks or interruptions during the planning session. (clean_note) +- Detailed steps for organizing notes within the light version of the weekly planning session. (clean_note) +- Specific criteria for identifying "active projects" beyond just "current at the moment." (clean_note) + + +## 11. 20230605__Increase_asset_and_productivity_with_a_Condition-Based_Maintenance_strategy_John_Crane + +### Summary +Condition-Based Maintenance (CBM) strategy for increasing asset and productivity. + +### Passport +- card_id: `card_c9ee357e2fdd` +- source_id: `678e288772ee` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/678e288772ee/chunk_manifest.csv` + +### Limitations +- Specific technologies and tools recommended for CBM implementation. chunk_001 +- How the effectiveness of the CBM strategy is evaluated. chunk_001 + + +## 12. 20230917__Building_A_Second_Brain_Simple_and_Practical_Guide + +### Summary +Концепция "второго мозга" как инструмента для захвата, организации и переиспользования идей для активных проектов, позволяющего избежать потери информации и ускорять прогресс. + +### Passport +- card_id: `card_bc677ff07d21` +- source_id: `eaf6efc00b3c` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/eaf6efc00b3c/chunk_manifest.csv` + +### Limitations +- Конкретные инструменты или приложения для создания второго мозга (например, Notion, OneNote) не указаны в clean note. +- Частота обновления и пересмотра собранной информации не уточнена. + + +## 13. 20231113__A_Deep_Dive_into_Getting_Things_Done_GTD_Using_TickTick + +### Summary +Getting Things Done (GTD) methodology implementation using TickTick. + +### Passport +- card_id: `card_1e98bd18a98f` +- source_id: `abd78d54bbc2` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/abd78d54bbc2/chunk_manifest.csv` + +### Limitations +- Short Summary (not found in source) +- Main Ideas (not found in source) +- Evidence Pointers (not found in source) +- Open Questions (not found in source) +- Review Notes (not found in source) + + +## 14. 20240104__Automate_reconciliations_with_Power_Query_Excel_Off_The_Grid + +### Summary +Автоматизация сверки данных в Power Query Excel через три этапа: создание уникального списка, объединение наборов данных и расчет разниц. + +### Passport +- card_id: `card_f49bf43f1564` +- source_id: `b1b531c64950` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/b1b531c64950/chunk_manifest.csv` + +### Limitations +- Как обрабатывать случаи, когда у одного уникального референса несколько значений (chunk_001). +- Какие действия предпринять, если уникальная референция не позволяет однозначно определить значение (chunk_001). + + +## 15. 20240202__Organize_Your_Google_Drive_Using_the_Para_Method + +### Summary +Организация Google Drive с использованием метода PARA (Projects, Areas, Resources, Archive) для повышения продуктивности. + +### Passport +- card_id: `card_4267fe70ef75` +- source_id: `d45f94d7afe9` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/d45f94d7afe9/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 16. 20240505__RAGAS_How_to_Evaluate_a_RAG_Application_Like_a_Pro_for_Beginners + +### Summary +RAGAS — это фреймворк для оценки RAG-приложений, фокусирующийся на качестве извлечения информации и генерации ответов. + +### Passport +- card_id: `card_f9843e1d23b0` +- source_id: `079e99b44ad4` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/079e99b44ad4/chunk_manifest.csv` + +### Limitations +- Как обрабатывать случаи, когда знания LLM конфликтуют с извлеченным контекстом? `clean_note` +- Какие еще метрики (например, релевантность ответа, точность контекста) доступны в RAGAS? `chunk_002` + + +## 17. 20240718__How_to_get_started_with_1Password + +### Summary +Начало работы с 1Password, включая выбор плана, установку расширения браузера, создание аккаунта, настройку приложений, импорт данных, использование вольтов и функции автозаполнения. + +### Passport +- card_id: `card_1dfe846d1d00` +- source_id: `928f5b4b6f02` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/928f5b4b6f02/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 18. 20241111__Mastering_Obsidian_Templates_My_Workflow_and_Setup_Tips + +### Summary +Создание и использование шаблонов в Obsidian для автоматизации создания заметок и поддержания единообразия. + +### Passport +- card_id: `card_bff14df44bd2` +- source_id: `cde291adf7e0` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/cde291adf7e0/chunk_manifest.csv` + +### Limitations +* Short Summary: not found in source +* Main Ideas: not found in source +* Procedures / Workflow: not found in source +* Concepts: not found in source +* Practical Rules: not found in source +* Risks / Caveats: not found in source + + +## 19. 20250212__AI_in_Docker_Run_Ollama_and_Large_Language_Models_Using_Docker_Containers + +### Summary +Установка и использование Ollama в Docker-контейнерах, включая настройку NVIDIA CUDA GPU поддержки, управление образами и контейнерами, а также загрузку и установку больших языковых моделей. + +### Passport +- card_id: `card_41da4692a7b9` +- source_id: `64a0bd159466` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/64a0bd159466/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 20. 20250227__I_Built_the_ULTIMATE_n8n_RAG_AI_Agent_Template + +### Summary +Создание агентского RAG-агента в N8N для взаимодействия с базой знаний. + +### Passport +- card_id: `card_4369715d2f9c` +- source_id: `f6aa57473d57` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 7 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `workspace/chunks/f6aa57473d57/chunk_manifest.csv` + +### Limitations +- **Short Summary**: not found in source +- **Main Ideas**: not found in source +- **Evidence Pointers**: + - chunk_001: not found in source + - chunk_002: not found in source + - chunk_003: not found in source + - chunk_004: not found in source + - chunk_005: not found in source + - chunk_006: not found in source +- **Open Questions**: not found in source +- **Review Notes**: not found in source + + +## 21. 20250302__What_Grok_3_Gets_That_o1_Pro_Missed + +### Summary +Сравнение производительности моделей Grok 3, O1 Pro и O3 Mini High в задачах архитектурного планирования для приложения, извлекающего и индексирующего транскрипты YouTube. + +### Passport +- card_id: `card_6f43bfdf619d` +- source_id: `6855a399b7a1` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/6855a399b7a1/chunk_manifest.csv` + +### Limitations +* Main Ideas +* Evidence Pointers (chunk_001, chunk_002) +* Open Questions +* Review Notes + + +## 22. 20250404__Efficient_LLM_Inference_on_Last-Gen_GPUs_CalmeRys_Ollama_Test_on_6x_RTX_3090_Grando + +### Summary +Установка и выполнение квантизации коммерис на грандо-машине с 6 NVIDIA 3090 GPU с использованием Ollama. Гайд подходит для установки любой необходимой инференции AI, включая последние LLMs и нейронные сети. + +### Passport +- card_id: `card_e61aab1cbf52` +- source_id: `70c39ad1988b` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/70c39ad1988b/chunk_manifest.csv` + +### Limitations +- Какие конкретные риски или ограничения могут возникнуть при установке и настройке? +- Какие дополнительные конфигурации доступны для более мощной работы? + + +## 23. 20250415__GTD_in_Obsidian_-_Experimental_Encounters_25 + +### Summary +Использование Obsidian для организации личных задач и проектов по методологии GTD. + +### Passport +- card_id: `card_16bbbbceeb9d` +- source_id: `a16496b9b0d1` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 6 + +### Evidence +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `workspace/chunks/a16496b9b0d1/chunk_manifest.csv` + +### Limitations +* Подробности о системе "Access System Nick Milo". +* Конкретные примеры использования AutoHotKey для отправки данных в Obsidian, кроме общего упоминания. chunk_002 +* Полный список всех плагинов, используемых в системе. +* Детали настройки экспорта в PDF. chunk_004 +* Как именно работает "Narrow to Heading" в Canvas. chunk_005 +* Полный список ролей в компании для секционирования работы. chunk_003 + + +## 24. 20250416__How_to_Do_an_Effortless_Weekly_Review_in_Obsidian + +### Summary +Workflow еженедельного обзора в Obsidian с использованием метода "плюс-минус-следующий" и кастомного шортката. + +### Passport +- card_id: `card_fb590dded770` +- source_id: `71e059fdc87a` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/71e059fdc87a/chunk_manifest.csv` + +### Limitations +- Альтернативы плагину "Actions for Obsidian" для автоматизации. (Open Questions в Clean Note) +- Конкретная частота обновления Weekly Note для эффективного использования метода. (Open Questions в Clean Note) +- Детали настройки шортката в приложении Shortcuts на iOS/macOS, кроме общего описания. (chunk_002) + + +## 25. 20250521__Create_the_PERFECT_PowerPoint_as_a_Finance_Pro_2025_Tutorial + +### Summary +Создание эффективной презентации PowerPoint для финансовых профессионалов, включая принципы структурирования слайдов, выбор визуализации и адаптацию под аудиторию. + +### Passport +- card_id: `card_f0746b117ec5` +- source_id: `985e1ca4a8bf` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/985e1ca4a8bf/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 26. 20250526__Claude_4_ADVANCED_AI_Coding_How_I_PARALLELIZE_Claude_Code_with_Git_Worktrees + +### Summary +Параллельное выполнение задач кодирования с использованием нескольких AI-агентов и Git worktrees. + +### Passport +- card_id: `card_63156a6039dd` +- source_id: `eeb7703ca50c` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 6 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `workspace/chunks/eeb7703ca50c/chunk_manifest.csv` + +### Limitations +- Подробное описание команды `GetWorkTrees` (упоминается как инструмент для управления несколькими ветками, но конкретные команды не детализированы). (clean_note) +- Конкретные шаги по объединению изменений из разных веток в основную, кроме общего упоминания. (chunk_004, chunk_005) +- Детали курса "Principled AI Coding" (упоминается как рекомендация, но содержание не раскрывается). (clean_note) + + +## 27. 20250621__Budget_Variance_Analysis_A_Step_by_Step_Guide_for_Finance_Professionals_1 + +### Summary +Budget variance analysis is a key tool for financial professionals to monitor and improve financial performance by comparing actual financial performance with budgeted figures to identify favorable or adverse variances. + +### Passport +- card_id: `card_14b977db696d` +- source_id: `6e8bdf5c115f` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/6e8bdf5c115f/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 28. 20250721__Modern_Data_Stack_Explained_in_3_minutes + +### Summary +Модерн-датастак — это модулярная, клауд-базированная архитектура для коллекции, хранения и анализирования больших датасетов в реальном времени. + +### Passport +- card_id: `card_2a381558a92e` +- source_id: `0b6bc719aa17` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/0b6bc719aa17/chunk_manifest.csv` + +### Limitations +- Конкретные критерии выбора между дата-барьером и даталейком не указаны. +- Нет деталей о безопасности данных в клауд-архитектуре. + + +## 29. 20250722__Practical_GraphRAG_Making_LLMs_smarter_with_Knowledge_Graphs_Michael_Jesus_and + +### Summary +GraphRAG (Graph Retrieval-Augmented Generation) + +### Passport +- card_id: `card_0625d43a3bb3` +- source_id: `54be62f84a2a` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/54be62f84a2a/chunk_manifest.csv` + +### Limitations +- Short Summary: not found in source +- Main Ideas: not found in source +- Procedures / Workflow (detailed steps beyond the high-level phases): not found in source +- Concepts (specific definitions beyond the provided ones): not found in source +- Practical Rules (specific actionable rules beyond general principles): not found in source +- Risks / Caveats (specific detailed risks beyond general limitations): not found in source +- Open Questions: not found in source +- Review Notes: not found in source + + +## 30. 20250811__Enterprise_AI_Change_Management_A_Practical_Guide_for_Transformation_Leaders + +### Summary +Управление изменениями для успешной реализации AI в организациях, с акцентом на человеческий фактор и структурные фреймворки. + +### Passport +- card_id: `card_23a652817c38` +- source_id: `902bb53fdd79` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/902bb53fdd79/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 31. 20250812__FP_A_Overview_Budgeting_Forecasting_Variance_Analysis_101 + +### Summary +Введение в финансовое планирование и анализ (FP&A), включая бюджетирование, прогнозирование и анализ отклонений. + +### Passport +- card_id: `card_1291abde5214` +- source_id: `08a478d9b588` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/08a478d9b588/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 32. 20250820__Scale_AI_Agent_Evaluation_with_NVIDIA_NeMo_Evaluator_LLM-as-a-Judge + +### Summary +Демонстрация использования NVIDIA NIM operator для горизонтального автоскалирования подов с моделью LLM-as-a-Judge в Kubernetes для ускорения задач оценки. + +### Passport +- card_id: `card_66c04e683732` +- source_id: `b4909e0d22bb` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/b4909e0d22bb/chunk_manifest.csv` + +### Limitations +- Как именно настраиваются метрики Prometheus для триггера автоскалирования? not found in source +- Какие конкретные модели и конфигурации используются в примере (например, Llama Nemotron Nano 4B)? chunk_001 +- Как обрабатываются ошибки или сбои при скалировании? not found in source + + +## 33. 20250821__How_to_Use_ChatGPT_Agent_Mode_Step-by-Step_Tutorial + +### Summary +ChatGPT Agent Mode + +### Passport +- card_id: `card_3e8529cf90c3` +- source_id: `06e822f5f136` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/06e822f5f136/chunk_manifest.csv` + +### Limitations +- Specific details on how to integrate Agent Mode with N8N beyond mentioning it as a possibility. chunk_002 +- The exact nature of the "memory" Agent Mode possesses. chunk_003 +- The specific "locales" where Agent Mode is restricted. chunk_003 + + +## 34. 20250825__How_to_Install_Ollama_on_Windows_10_11_2025_Update_New_Ollama_GUI_for_running_AI + +### Summary +Установка и базовая настройка Ollama на Windows 10/11, включая проверку установки через командную строку и использование GUI для выбора моделей. + +### Passport +- card_id: `card_e8be803f9b81` +- source_id: `ebbd3aabfdc5` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/ebbd3aabfdc5/chunk_manifest.csv` + +### Limitations +- Как устанавливать модели через GUI? (не подробно в chunk_001) +- Требуются ли дополнительные настройки после установки? (не указано) + + +## 35. 20250903__Codex_CLI_Has_Just_Got_WAY_Better + +### Summary +Codex CLI — инструмент для работы с кодом, недавно обновленный с улучшенным UI, моделью и возможностью логиниться через ChatGPT-план. Поддерживает сандбокс-режим для безопасности, настраиваемые профили и интеграцию с MCP-серверами. Сравнивается с Claude Code, но уступает в функциональности. OpenAI предоставляет гранты для открытых проектов, использующих Codex CLI. + +### Passport +- card_id: `card_9734056a2ee3` +- source_id: `ea135e5d7ba6` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/ea135e5d7ba6/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 36. 20250912__The_Codex_CLI_Setup_That_Finally_Made_Sense_As_A_Claude_Code_Power_User + +### Summary +Настройка и оптимизация Codex CLI для пользователей, переходящих с Claude Code. + +### Passport +- card_id: `card_5d00afee9a16` +- source_id: `8fdbda424c0f` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/8fdbda424c0f/chunk_manifest.csv` + +### Limitations +- Не найдено информации о том, как часто обновляется Codex CLI и требуются ли ручные обновления. +- Не найдено информации об альтернативах `rg`, `fd`, `jq` для других операционных систем. +- Не найдено информации о возможности интеграции CDX с другими инструментами для автоматизации. + + +## 37. 20250915__LLM_as_a_Judge_Scaling_AI_Evaluation_Strategies + +### Summary +Использование LLM в качестве оценщика для масштабирования оценки текстов, генерируемых ИИ. + +### Passport +- card_id: `card_1805c04b54ad` +- source_id: `ef717d14de84` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/ef717d14de84/chunk_manifest.csv` + +### Limitations +- Как лучше комбинировать прямую оценку и парное сравнение для конкретных задач? (из Open Questions) +- Какие методы могут быть использованы для минимизации предвзятостей в оценках LLM? (из Open Questions) + + +## 38. 20250916__The_Future_of_AI_Prompting_5_Context_Levels + +### Summary +Управление контекстом для улучшения работы с AI. + +### Passport +- card_id: `card_da098627d506` +- source_id: `cbc81b90bb50` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/cbc81b90bb50/chunk_manifest.csv` + +### Limitations +- Как часто обновлять знания проекта для поддержания их актуальности? not found in source +- Какие конкретные триггеры работают лучше для различных типов задач? not found in source +- Как избежать перегрузки контекстом при работе с AI? not found in source + + +## 39. 20250921__В_этом_месте_собраны_ВСЕ_шаблоны_n8n_и_как_тут_заработать + +### Summary +n8n.community как ресурс для поиска и использования шаблонов автоматизаций, а также возможности заработка на публикации собственных шаблонов. + +### Passport +- card_id: `card_4111c506a907` +- source_id: `defc2c2bbd8f` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/defc2c2bbd8f/chunk_manifest.csv` + +### Limitations +- Конкретные требования к конфигурации сервера для использования шаблонов (кроме общего упоминания, что для простых шаблонов мощный сервер не требуется). (chunk_002) +- Детальная информация о том, какие именно модели LLM доступны в сервисе Польза AI, кроме перечисления брендов (Deepsea, Google Gemini). (chunk_001) +- Как именно оценить качество шаблона перед использованием, кроме как смотреть на автора и его другие работы. (chunk_001) +- Точные механизмы работы эвалюэйшенов, кроме общего описания процесса тестирования и корректировки. (chunk_002) + + +## 40. 20250930__1Password_Full_Tutorial_2025_2026_From_Deployment_to_Everyday_Use + +### Summary +Установка и использование 1Password для управления паролями и обеспечения безопасности учетных записей. + +### Passport +- card_id: `card_b9af6b32e767` +- source_id: `0aaa88ac375b` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 6 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `workspace/chunks/0aaa88ac375b/chunk_manifest.csv` + +### Limitations +- Подробные инструкции по настройке 1Password для бизнес-целей. +- Сравнение функционала 1Password для личных и бизнес-аккаунтов. +- Интеграция 1Password с другими сервисами. + + +## 41. 20251004__OpenAI_Codex_Tutorial_6_-_Using_the_AGENTS.md_file + +### Summary +Файл агентства (.md) для AI-кодинговых агентов. + +### Passport +- card_id: `card_8aaf8562cc97` +- source_id: `f190accecdf9` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/f190accecdf9/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 42. 20251007__Master_OpenAI_Agent_Builder_in_30_Minutes_Step-by-Step_Tutorial + +### Summary +OpenAI Agent Builder + +### Passport +- card_id: `card_caed6b6b9619` +- source_id: `590111c507a0` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 6 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `workspace/chunks/590111c507a0/chunk_manifest.csv` + +### Limitations +- Short Summary: not found in source +- Main Ideas: not found in source +- Open Questions: not found in source +- Review Notes: not found in source +- Specific details on how to configure "Connector Registry" or "local functions/custom tools" beyond their mention. chunk_001, chunk_002 +- Detailed explanation of "ChatKit client tools" or "MCP servers". chunk_002 +- The exact process or interface for "exporting workflows" mentioned as a developer responsibility. chunk_001 +- How to "add more rules" to state variables beyond the initial setup. chunk_002 +- The specific limitations or differences between "GPT-5, GPT-5 Nano, and GPT-5 Mini" models beyond their selection. chunk_002, chunk_003 +- The full capabilities and configuration options for the "Code Interpreter" tool. chunk_002 +- The exact structure or content of the "documentation on implementing ChatKit" that would be provided to a coding agent. chunk_002 +- The specific "moderation" features available within the Guard Rails node beyond identifying personal information or blocking harmful content. chunk_003 +- The exact process for "generating a schema" for the Agent Builder to create. chunk_003 +- The full range of "comparisons" available in the While node's expression editor. chunk_004 +- The specific details on how to "add more state values" beyond the initial setup in the Start node. chunk_004 +- The exact structure of the "detailed search report in markdown format" that the research agent should return. chunk_004 +- The specific "optimization" benefits of human-in-the-loop beyond approving keywords. chunk_005 + + +## 43. 20251008__Evals_in_Action_From_Frontier_Research_to_Production_Applications + +### Summary +Оценка производительности моделей ИИ в реальных задачах и разработка инструментов для упрощения этого процесса. + +### Passport +- card_id: `card_8793dfc18f43` +- source_id: `f92fa40d603a` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/f92fa40d603a/chunk_manifest.csv` + +### Limitations +- Конкретные детали о том, как GDPVal будет развиваться для включения более сложных аспектов реальной работы. +- Дополнительные функции, планируемые для продукта OpenAI для оценок, помимо уже упомянутых. +- Как оценки могут быть адаптированы для специфических отраслей или приложений. + + +## 44. 20251010__How_to_Build_a_KILLER_Financial_Dashboard_Free_Template + +### Summary +Создание финансового дашборда в Excel. + +### Passport +- card_id: `card_370aa9fbb98a` +- source_id: `5869f3fbae72` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/5869f3fbae72/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 45. 20251010__How_to_EASILY_Create_a_Driver-Based_Forecast_FP_A + +### Summary +Driver-based forecasting + +### Passport +- card_id: `card_c26d053b74e7` +- source_id: `e687488788a3` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/e687488788a3/chunk_manifest.csv` + +### Limitations +- Specific tools or software recommended for implementing driver-based forecasting. (Clean Note) +- How to handle unexpected external factors (e.g., economic downturns) in the model. (Clean Note) +- The difference between scenario planning and "what-if" analysis. (chunk_002) + + +## 46. 20251013__How_to_Setup_Claude_Code_in_VSCode_2026 + +### Summary +Настройка и использование Claude Code в VS Code для ускорения кодирования и дебаггинга. + +### Passport +- card_id: `card_51c6df1b823b` +- source_id: `bab3a2ebd816` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/bab3a2ebd816/chunk_manifest.csv` + +### Limitations +- Как часто требуется обновлять токен для Cloud Code? not found in source +- Есть ли ограничения на размер файлов для анализа? not found in source +- Проверить совместимость с другими расширениями VS Code. not found in source + + +## 47. 20251024__Variance_Analysis_Power_BI_FP_A_Budget_vs_Actual_Guide + +### Summary +Вариантный анализ в Power BI с использованием Zebra BI. + +### Passport +- card_id: `card_b712bf681ec0` +- source_id: `b2dc8e09e1f7` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/b2dc8e09e1f7/chunk_manifest.csv` + +### Limitations +- Как оптимально настраивать хирархии для разных типов данных? not found in source +- Какие лучшие практики для добавления комментариев в больших отчетах? not found in source +- Как интегрировать Zebra BI с другими инструментами Power BI для расширенного анализа? not found in source + + +## 48. 20251027__Ultimate_Local_AI_Setup_Guide_Ubuntu_Ollama_Open_WebUI + +### Summary +Установка и настройка локального сервера искусственного интеллекта (Local AI) с использованием Ubuntu, Ollama и OpenWebUI. + +### Passport +- card_id: `card_2485fa3d7dc2` +- source_id: `e23973f72f18` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/e23973f72f18/chunk_manifest.csv` + +### Limitations +- Конкретные команды для изменения сервиса Ollama с помощью `systemctl` не приведены полностью, только описание процесса. `chunk_001` +- Полные команды для запуска Docker-контейнера OpenWebUI и Watchtower не приведены в явном виде, только описание и примеры. `chunk_002` +- Детали настройки GPU для Docker-контейнеров не раскрыты, так как в примере используется CPU-only setup. `chunk_001` + + +## 49. 20251029__ULTIMATE_Local_AI_Quad_3090_Build + +### Summary +Сборка локальной AI-инфраструктуры с использованием потребительских GPU, оптимизированная для эффективности и стоимости. + +### Passport +- card_id: `card_fc17ebb821aa` +- source_id: `0fc75c58d716` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 6 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `workspace/chunks/0fc75c58d716/chunk_manifest.csv` + +### Limitations +- Конкретные модели GPU (например, 9060 XT, 5060 Ti) и их производительность в реальных сценариях использования. (clean_note) +- Влияние ограничения мощности на производительность в задачах генерации изображений/видео. (clean_note) +- Альтернативы PCIe riser’ам для стабильного питания GPU. (clean_note) +- Как изменится стоимость за гигабайт VRAM при использовании более новых GPU (например, 4090). (clean_note) +- Актуальность цен на компоненты (RAM, GPU) и их доступность. (clean_note) +- Возможность использования более новых GPU (например, 4090) для улучшения производительности и стоимости. (clean_note) + + +## 50. 20251031__The_Ultimate_Guide_to_Password_Managers_in_2025 + +### Summary +Password managers are digital vaults for securely storing and generating strong, unique passwords for online accounts, simplifying management by requiring only one master password. + +### Passport +- card_id: `card_f1c7fdc887ce` +- source_id: `8e72291121c6` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/8e72291121c6/chunk_manifest.csv` + +### Limitations +- Specific recommendations from the National Institute of Technology for password length and complexity beyond general guidance. `chunk_002` +- Detailed explanation of how AI features in password managers enhance security and convenience beyond mentioning potential benefits. `chunk_003` +- Specific privacy risks associated with AI features in password managers. `chunk_003` + + +## 51. 20251102__Building_a_Home_AI_Server_for_Local_LLMs_Ollama_Setup + +### Summary +Создание домашнего AI-сервера для локальных больших лингвистических моделей (LLMs) с использованием Ollama. + +### Passport +- card_id: `card_d9fb92393be1` +- source_id: `ec0cf17371a7` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/ec0cf17371a7/chunk_manifest.csv` + +### Limitations +- Детальные инструкции по оптимизации использования VRAM для крупных моделей. +- Сравнение производительности различных моделей LLM на данном оборудовании. +- Конкретные шаги по улучшению производительности системы без замены аппаратного обеспечения. + + +## 52. 20251113__Как_освоить_80_n8n_изучив_ТОЛЬКО_20_УЗЛОВ + +### Summary +Освоение 80% функционала N8N путем изучения 20 ключевых узлов. + +### Passport +- card_id: `card_6ffb680916fc` +- source_id: `ab3beb49651e` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 7 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `workspace/chunks/ab3beb49651e/chunk_manifest.csv` + +### Limitations +- Как настроить кастомный стиль для чата в `Chat Message Trigger`. `clean_note` +- Как использовать `Import CURL` в `HTTP Request`. `clean_note` +- Как настроить память для `AI Agent`. `clean_note` +- Детальные настройки узла `Merge` помимо `append` и `combine`. `chunk_004` +- Детальные настройки узла `Edit Fields` помимо базовых. `chunk_004` +- Детальные настройки узла `Date and Time` помимо основных функций. `chunk_004` +- Детальные настройки узла `AI Agent`, включая системные сообщения, максимальные итерации и возврат промежуточных шагов. `chunk_007` + + +## 53. 20251124__How_To_Use_Codex_CLI_Complete_Beginner_Guide_Tips + +### Summary +Использование Codex CLI для кодирования в терминале. + +### Passport +- card_id: `card_475aa6e78bb6` +- source_id: `596f9db85892` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 7 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_007` +- `chunk:chunk_008` +- `workspace/chunks/596f9db85892/chunk_manifest.csv` + +### Limitations +- Как лучше всего настраивать и контролировать агентов для избежания ошибок и ускорения разработки? (Упоминается важность, но нет конкретных рекомендаций, кроме использования Agents.markdown) chunk_001, chunk_008 +- Какие конкретные инструменты MCP, кроме Playwright, могут быть интегрированы с Codex CLI для расширения его функциональности? (Упоминается Figma, но без деталей) chunk_007 +- Как лучше всего работать с несколькими агентами параллельно для ускорения разработки? (Общие принципы описаны, но нет детальных стратегий) chunk_001 + + +## 54. 20251213__Stop_Wasting_Hours_Budget_Variance_Analysis_10x_Faster_with_AI + +### Summary +Ускорение анализа бюджетных отклонений с использованием AI для 10-кратного увеличения скорости FP&A, связывая финансовые результаты с операционными драйверами и генерируя actionable narrative и board-ready презентации. + +### Passport +- card_id: `card_a9d6c75ab8e2` +- source_id: `156b7f4c8851` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/156b7f4c8851/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 55. 20251218__How_to_Build_Variance_Analysis_in_FP_A_Full_Guide + +### Summary +Вариантный анализ в FP&A + +### Passport +- card_id: `card_9f915ccfe13f` +- source_id: `628601981d7b` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/628601981d7b/chunk_manifest.csv` + +### Limitations +- Как определить, когда достаточно глубокое расследование причин варианта? chunk_001 +- Какие конкретные действия следует предпринять при выявлении рисков или возможностей? not found in source + + +## 56. 20251219__What_is_Workflow_Orchestration_Data_Engineering_Zoomcamp_-_2.1.1 + +### Summary +Workflow orchestration в дата-инженеринге с использованием Kestra как инструмента для управления независимыми инструментами (Python, базы данных и др.) и их совместной работы. + +### Passport +- card_id: `card_26e84b24d6a5` +- source_id: `23b2bb9d51bc` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/23b2bb9d51bc/chunk_manifest.csv` + +### Limitations +- Конкретные шаги для настройки Kestra не указаны. +- Детали интеграции AI-копилота в Kestra не раскрыты. + + +## 57. 20251222__OpenAI_Adds_Agent_Skills_to_Codex_First_Look_Walkthrough + +### Summary +Поддержка агентских навыков в Codex. + +### Passport +- card_id: `card_93ca3d34ff47` +- source_id: `01a7d7e5f957` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/01a7d7e5f957/chunk_manifest.csv` + +### Limitations +- Какие навыки доступны для установки через OpenAI? `chunk_001` +- Как создать собственный навык для Codex? `chunk_001` + + +## 58. 20251223__AI_in_FP_A_From_Raw_Data_to_Reporting_Automation + +### Summary +Применение искусственного интеллекта (AI) в области финансового планирования и анализа (FP&A) для автоматизации отчетности и аналитики. + +### Passport +- card_id: `card_6b783e0e9008` +- source_id: `37fca4b5cc83` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 9 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `chunk:chunk_008` +- `workspace/chunks/37fca4b5cc83/chunk_manifest.csv` + +### Limitations +- Конкретные модели AI, которые лучше всего подходят для различных задач FP&A. +- Детализированные рекомендации по частоте обновления данных для повторного использования промптов. +- Подробные инструкции по настройке безопасности данных при использовании облачных сервисов для различных сценариев. + + +## 59. 20251229__How_to_Run_Claude_Code_For_Hours_Autonomously + +### Summary +Автономная работа Claude Code в течение длительного времени с использованием стоп-хуков. + +### Passport +- card_id: `card_0721946d197e` +- source_id: `07e05ae2c6cf` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/07e05ae2c6cf/chunk_manifest.csv` + +### Limitations +- Подробности настройки "formatter" в стоп-хуке. chunk_003 +- Конкретные примеры использования "sub agents" и "skills" в плагинах. chunk_003 +- Детали интеграции с Playwright или Cloud в Chrome. chunk_002 +- Полное описание всех возможных типов хуков, кроме стоп-хука. chunk_001 + + +## 60. 20260101__Transaction-Level_Financial_Data_Analysis_Using_Python_for_Banking_and_Finance + +### Summary +Анализ финансовых транзакций на уровне отдельных операций с использованием Python для банковской сферы. + +### Passport +- card_id: `card_914e5c31cb72` +- source_id: `843f61ef5d8a` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/843f61ef5d8a/chunk_manifest.csv` + +### Limitations +- not found in source + + +## 61. 20260107__Claude_Code_Skills_MCP_Plugins..._What_Is_All_This_Stuff + +### Summary +Обзор возможностей расширения Claude Code: инструменты, MCP-серверы, навыки, хуки, кастомные slash-команды, суб-агенты и плагины. + +### Passport +- card_id: `card_2f039636238b` +- source_id: `8babada0486d` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/8babada0486d/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 62. 20260115__How_to_Set_Up_Two-Factor_Authentication_With_1Password_Step-by-Step_2026 + +### Summary +Настройка двухфакторной аутентификации (2FA) в 1Password. + +### Passport +- card_id: `card_5ccfc8f3cb1d` +- source_id: `1a4aedeafc61` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/1a4aedeafc61/chunk_manifest.csv` + +### Limitations +- Как восстановить доступ, если потерян доступ к аутентификационному приложению? not found in source +- Какие аутентификационные приложения поддерживаются? not found in source + + +## 63. 20260115__Review_The_PARA_Method_Simplify_Organize_and_Master_Your_Digital_Life_Tiago_Forte + +### Summary +The PARA Method by Tiago Forte is a system for organizing digital information to support real work and goals, focusing on actionability and retrieval rather than idealized order. + +### Passport +- card_id: `card_abc0e506bd2d` +- source_id: `0084501c4c44` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/0084501c4c44/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 64. 20260121__30_ChatGPT_5.2_Hacks_You_Need_to_Know_in_2026_Become_a_PRO + +### Summary +GPT-5.2 requires explicit and structured prompts for optimal performance, unlike previous versions that could infer intent. + +### Passport +- card_id: `card_1fe1e127a55d` +- source_id: `013153410460` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/013153410460/chunk_manifest.csv` + +### Limitations +- Specific limitations of GPT-5.2's context window for complex workflows. +- How Router Nudges interact with other advanced techniques like meta-prompting. +- Performance of the six-component image formula across different AI image tools. + + +## 65. 20260126__I_Built_My_Second_Brain_with_Claude_Code_Obsidian_Skills_Here_s_How + +### Summary +Создание "второго мозга" с использованием Claude Code, Obsidian и Skills. + +### Passport +- card_id: `card_cb08768ff207` +- source_id: `3bd998124969` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/3bd998124969/chunk_manifest.csv` + +### Limitations +- Short Summary: not found in source +- Main Ideas: not found in source +- The exact process of creating a brand and voice generator is not fully detailed, only that it guides through questions. chunk_003 +- The full capabilities of the MCP Client skill are not elaborated beyond its interaction with MCP servers. chunk_003 + + +## 66. 20260203__НЕ_СТРОЙТЕ_автоматизации_n8n_стройте_Аджентик_Воркфлоу_Claude_Code + +### Summary +Аджентик воркфлоу и вейп-кодинг для автоматизации задач. + +### Passport +- card_id: `card_109ce60f2696` +- source_id: `c9f2ad11f7a3` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 11 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `chunk:chunk_008` +- `chunk:chunk_009` +- `chunk:chunk_010` +- `workspace/chunks/c9f2ad11f7a3/chunk_manifest.csv` + +### Limitations +- Полный список аналогов программы "Аква" для работы с речью. `chunk_005` +- Детальные инструкции по настройке и использованию всех режимов работы инструментов вейп-кодинга. `chunk_007` +- Конкретные примеры использования CloudCowork для создания файлов и организации. `chunk_010` + + +## 67. 20260205__Complete_Beginner_s_Guide_to_OpenAI_s_Codex_App + +### Summary +Codex — это AI-кодинговая аппликация от OpenAI, доступная как macOS-приложение, ориентированная на интерактивное взаимодействие с кодом через чат. + +### Passport +- card_id: `card_c474256ff04c` +- source_id: `cce49e7a3921` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 8 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `workspace/chunks/cce49e7a3921/chunk_manifest.csv` + +### Limitations +- Точные детали о том, как именно Codex обрабатывает "implied by absence" (подразумеваемое отсутствием). chunk_004 +- Детали о том, как именно работает "Vercel deploy" навык в Codex, кроме того, что он демонстрирует приложения. chunk_005 +- Точные шаги для передеплоя после внесения изменений через Vercel. chunk_006 +- Детали о том, как именно Codex синхронизирует изменения с GitHub, если это делается через облачную версию. chunk_006 + + +## 68. 20260208__The_ONE_ChatGPT_Workflow_Most_Pros_Use_in_2026 + +### Summary +Фреймворк CTC (Context-Task-Constraints) для улучшения взаимодействия с AI. + +### Passport +- card_id: `card_50eb5b6bf85b` +- source_id: `445c8146740b` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/445c8146740b/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 69. 20260215__Почему_я_больше_НЕ_использую_n8n_n8n_ВСЁ + +### Summary +Сравнение n8n и инструментов вайпкодинга для автоматизации. + +### Passport +- card_id: `card_57a61ae860bc` +- source_id: `4a92c1bf3467` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/4a92c1bf3467/chunk_manifest.csv` + +### Limitations +- Как именно ваипкодинг-инструменты обрабатывают данные пользователей? not found in source +- Какие альтернативы n8n существуют для простых автоматизаций? not found in source + + +## 70. 20260219__遂に来た_Codexにマルチエージェント機能が登場_サブエージェント定義から実践まで解説 + +### Summary +Функция Multi-agent в Codex + +### Passport +- card_id: `card_15f49ea89b82` +- source_id: `98e2679fe708` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/98e2679fe708/chunk_manifest.csv` + +### Limitations +- Какие конкретные модели поддерживаются для создания суб-эйджентов? not found in source +- Как оптимально настроить параметры effort и другие настройки в TOML-файле? not found in source +- Какие ограничения или ошибки могут возникнуть при использовании функции Multi-agent? not found in source + + +## 71. 20260223__Parallel_AI_Agents_with_OpenAI_Codex_-_Enable_this_IMMEDIATELY_Rvh1nK4zf0 + +### Summary +Параллельные агенты в OpenAI Codex + +### Passport +- card_id: `card_81ff1fdaa697` +- source_id: `63ed9ac2db2c` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/63ed9ac2db2c/chunk_manifest.csv` + +### Limitations +- Какие именно задачи лучше всего подходят для выполнения параллельными агентами? +- Есть ли ограничения на количество агентов, которые можно использовать одновременно? + + +## 72. 20260224__1Password_Developer_Tools_SSH_Agent_CLI_Watchtower_Setup + +### Summary +Настройка инструментов разработчика 1Password для управления SSH-ключами, CLI и Watchtower. + +### Passport +- card_id: `card_c17e1dc04db4` +- source_id: `c893329a0f0d` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/c893329a0f0d/chunk_manifest.csv` + +### Limitations +- Подробности о настройке функции "Environments" для управления секретами. `chunk_002` +- Конкретные команды для создания новых SSH-ключей через CLI. `chunk_002` +- Детали возможных проблем совместимости ключей. `not found in source` + + +## 73. 20260225__Commands_vs_MCP_vs_Skills_What_I_Use + +### Summary +Сравнение и рекомендации по использованию различных методов расширения функциональности кодинговых агентов: команды, MCP (Model Context Protocol) и навыки. + +### Passport +- card_id: `card_cbda53005d49` +- source_id: `b26743a2cd02` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/b26743a2cd02/chunk_manifest.csv` + +### Limitations +- Конкретные сценарии использования для каждого метода (команды, MCP, навыки) не детализированы. `chunk_004` +- Безопасность при использовании MCP Tools требует дополнительного уточнения. `chunk_002` +- Альтернативы для решения проблем с дистрибуцией команд и навыков не представлены. `chunk_003` + + +## 74. 20260227__Claude_Code_-_Full_Tutorial_for_Beginners + +### Summary +Cloud Code - инструмент командной строки для генерации кода, отладки и создания приложений с помощью AI. + +### Passport +- card_id: `card_c44f383c2d33` +- source_id: `9c2847b682c9` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 8 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `workspace/chunks/9c2847b682c9/chunk_manifest.csv` + +### Limitations +- Как оптимально управлять стоимостью при использовании разных моделей? not found in source +- Какие дополнительные инструменты можно интегрировать с Cloud Code? not found in source +- Как настроить автоматизированные коммиты в GitHub для сложных проектов? not found in source +- Точное значение амперсанда (&) в командах Cloud Code. chunk_004 + + +## 75. 20260308__How_I_Use_Claude_Cowork_to_Automate_99_Of_My_Life_Full_Guide + +### Summary +Automating life using Claude Co-work OS. + +### Passport +- card_id: `card_4f1d67d9bf82` +- source_id: `3036b0bfee5a` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 7 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `workspace/chunks/3036b0bfee5a/chunk_manifest.csv` + +### Limitations +- The exact process or interface for "uploading a ZIP file" for the Co-work OS plugin is not fully detailed beyond selecting the file. `chunk_002` +- The specific content of the "customer support" plugin is not detailed. `chunk_001` +- The "plugins" section in the Co-work customization menu is mentioned, but the specific plugins available beyond "productivity" and "customer support" are not fully listed or described. `chunk_001` +- The "chat arena" feature in i10x is mentioned but not elaborated upon. `chunk_004` +- The "automation" feature in i10x is mentioned with an example but not fully detailed. `chunk_004` +- The "web surfing" and "web browsing" features in i10x are mentioned but not elaborated upon. `chunk_004` +- The "image generation" and "video generation" features in i10x are mentioned but not elaborated upon. `chunk_004` +- The "email executor" folder mentioned in the Obsidian integration section is not explained in detail. `chunk_005` + + +## 76. 20260318__Learn_LLM-as-a-Judge_in_15_minutes + +### Summary +LLM как судья (LLM-as-a-Judge) + +### Passport +- card_id: `card_49753d8cc51b` +- source_id: `b382abfb2fb1` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/b382abfb2fb1/chunk_manifest.csv` + +### Limitations +- Short Summary +- Main Ideas +- Risks / Caveats +- Open Questions +- Review Notes + + +## 77. 20260324__Accounts_Payable_P2P_Analytics_Explained_Key_Concepts_for_GBS_and_Finance_Teams + +### Summary +Аналитика процесса Purchase-to-Pay (P2P) в Accounts Payable (AP) для команд GBS и финансов. + +### Passport +- card_id: `card_3e11b1407ed9` +- source_id: `c5ee81b6203d` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/c5ee81b6203d/chunk_manifest.csv` + +### Limitations +- Конкретные метрики улучшения DPO после внедрения аналитики. (clean_note) +- Примеры реальных штрафов за просроченные платежи. (clean_note) + + +## 78. 20260329__FULL_Claude_Code_Tutorial_for_Beginners_in_2026_Step-By-Step + +### Summary +Оптимизация работы с Claude Code для начинающих. + +### Passport +- card_id: `card_df35799beeda` +- source_id: `fdeae6fbc14f` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/fdeae6fbc14f/chunk_manifest.csv` + +### Limitations +- Какие еще плагины и MCP-серверы могут быть полезны для расширения функциональности Claude Code? +- Как можно оптимизировать использование Claude Code для конкретных задач? + + +## 79. 20260330__17_фишек_Claude_Code_чтобы_обойти_90_ПОЛЬЗОВАТЕЛЕЙ + +### Summary +Использование Claude Code для автоматизации бизнес-задач. + +### Passport +- card_id: `card_c5abf094b689` +- source_id: `d7156fd0453c` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 7 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `workspace/chunks/d7156fd0453c/chunk_manifest.csv` + +### Limitations +- Конкретные шаги по настройке хуков-уведомлений для завершения работы код-кода. `chunk_004` +- Детальные инструкции по созданию и настройке скиллов. `chunk_004` +- Полные инструкции по установке и использованию суб-агентов для ресерча. `chunk_004` +- Детали настройки `Work3` в расширении код-кода. `chunk_006` +- Точные настройки для режима `AutoMod`. `chunk_003` + + +## 80. 20260403__Become_Master_of_ChatGPT_Projects_in_15_Mins + +### Summary +Проекты в ChatGPT + +### Passport +- card_id: `card_bbf25286244c` +- source_id: `7f80fa85bc09` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/7f80fa85bc09/chunk_manifest.csv` + +### Limitations +- Как часто обновляется контекст в проектах? (clean_note) +- Возможны ли коллаборативные проекты с другими пользователями? (clean_note) + + +## 81. 20260405__Освой_95_Claude_Code_за_36_МИНУТ_для_начинающих + +### Summary +Claude Code — это ИИ-агент от компании Anthropic, работающий на компьютере пользователя для автоматизации задач, создания файлов, написания кода, работы в терминале и интеграции с сервисами. Инструмент не требует знания программирования и предназначен для повышения личной эффективности. + +### Passport +- card_id: `card_b97160320846` +- source_id: `34e7699387aa` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 8 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `workspace/chunks/34e7699387aa/chunk_manifest.csv` + +### Limitations +- Как избежать блокировок в РФ? `chunk_001` +- Какие обходные решения для доступа к Claude Code из РФ? `chunk_001` +- Как настроить автоматическое сжатие контекста? `chunk_007` + + +## 82. 20260406__Complete_ChatGPT_Workflow_From_Zero_to_Power_User_in_20_Minutes + +### Summary +Эффективное использование ChatGPT с помощью системных подходов к промптингу. + +### Passport +- card_id: `card_1ea6d491ad9d` +- source_id: `23b36f7b46ef` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/23b36f7b46ef/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 83. 20260406__The_ONLY_Claude_Cowork_Tutorial_You_ll_Ever_Need_in_2026 + +### Summary +Claude Co-Work — это AI-агент, предназначенный для выполнения задач на компьютере пользователя, отличающийся от обычных чат-ассистентов своей способностью работать с локальными файлами, выполнять повторяющиеся операции и комбинировать локальные данные с онлайн-исследованиями. + +### Passport +- card_id: `card_c9d83c329939` +- source_id: `440198d9e701` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/440198d9e701/chunk_manifest.csv` + +### Limitations +- Как часто необходимо обновлять контекстные файлы для поддержания актуальности? (из clean note) +- Какие ограничения на количество задач в Scheduled Tasks? (из clean note) +- Как обеспечить безопасность при работе Co-Work с локальными файлами? (из clean note) + + +## 84. 20260406__Как_работать_в_Claude_Code_в_5_раз_быстрее_Совет_создателя_Claude_Code + +### Summary +Ускорение работы в Claude Code путем использования нескольких инстансов с Git Worktrees для параллельной разработки без конфликтов. + +### Passport +- card_id: `card_07f380b2b717` +- source_id: `f482ea289de7` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 7 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `workspace/chunks/f482ea289de7/chunk_manifest.csv` + +### Limitations +- Оптимальная настройка скилла `Work3` для конкретных задач. `clean_note` +- Дополнительные инструменты для автоматизации процесса создания и объединения Worktrees. `clean_note` +- Эффективное управление большим количеством Worktrees. `clean_note` +- Детали настройки скилла `Work3` и его интеграции с Git. `clean_note` +- Возможность автоматизации создания и объединения Worktrees. `clean_note` +- Эффективность использования Worktrees для проектов разного масштаба. `clean_note` + + +## 85. 20260407__How_to_Build_a_Personal_LLM_Knowledge_Base_Karpathy_s_Method + +### Summary +Создание личной базы знаний на основе LLM с использованием Obsidian и Claude. + +### Passport +- card_id: `card_1d57166d527c` +- source_id: `f81806894f04` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_002` +- `workspace/chunks/f81806894f04/chunk_manifest.csv` + +### Limitations +- Конкретные промпты, используемые для создания вики, не приведены в явном виде, но пример промпта дан в chunk_002. +- Частота обновления вики не указана. + + +## 86. 20260407__Что_такое_skills_И_почему_они_нужны_каждому + +### Summary +Skills — это единый стандарт автоматизации задач, применимый к любым инструментам (AI-агентам, код-кодам, OpenClaw и др.), позволяющий увеличить продуктивность в 10-15 раз. + +### Passport +- card_id: `card_f5796693bb7b` +- source_id: `9a8c2c027b91` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/9a8c2c027b91/chunk_manifest.csv` + +### Limitations +- Как выбрать лучший AI-агент для конкретных задач? +- Какие задачи нельзя автоматизировать полностью? +- Как оформить скилл в удобный интерфейс для нетехнических пользователей? + + +## 87. 20260408__Контекстное_окно_в_Claude_Code_Antigravity_Codex_всё_что_необходимо_знать + +### Summary +Контекстное окно в LLM и инструментах для вайп-кодинга. + +### Passport +- card_id: `card_46c013735b4c` +- source_id: `3427f4f32843` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 6 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `workspace/chunks/3427f4f32843/chunk_manifest.csv` + +### Limitations +- Как точно рассчитать оптимальный порог контекста для конкретной модели (например, Claude Opus 4.6)? `clean_note` +- Какие инструменты для автоматизации управления контекстом доступны в других вайп-кодинг инструментах (Cursor, Antigravity Codex)? `clean_note` +- Как влияет использование Agent Teams на заполнение контекста по сравнению с обычными агентами? `clean_note` + + +## 88. 20260410__How_To_Build_The_ULTIMATE_AI_Second_Brain_Obsidian_Claude_Code + +### Summary +Создание "второго мозга" с использованием AI-инструментов, таких как Claude и Obsidian, для повышения продуктивности, организации знаний и генерации идей. + +### Passport +- card_id: `card_8c62d7190326` +- source_id: `e3321a1f1d22` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 10 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_008` +- `chunk:chunk_009` +- `chunk:chunk_010` +- `workspace/chunks/e3321a1f1d22/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 89. 20260410__Скиллы_в_Claude_Code_Antigravity_Codex_ПОЛНЫЙ_ГАЙД + +### Summary +Скиллы в Claude Code, Antigravity Codex и других IDE-инструментах для автоматизации рутинных задач. + +### Passport +- card_id: `card_d93b7c8a9792` +- source_id: `dc62b54c1736` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 9 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `chunk:chunk_008` +- `workspace/chunks/dc62b54c1736/chunk_manifest.csv` + +### Limitations +- Как именно настроить `char budget` для увеличения лимита на `name` и `description`? `clean_note` +- Какие конкретные хуки можно привязать к скиллам в Claude Code? `clean_note` +- Как оптимизировать скиллы для работы с большими объемами данных? `clean_note` +- Детальная информация о настройке `char budget` через `Slash command tools char budget`. `chunk_005` +- Полное описание всех возможностей плагина `Skill Creator` и его режимов работы. `chunk_006` +- Детали реализации `Auto Research` для автоматического улучшения скиллов. `chunk_007` + + +## 90. 20260411__AutoResearch_от_Карпати_самоулучшающаяся_ИИ_автоматизация + +### Summary +Автоматическая оптимизация с помощью ИИ-агентов (Авторесерч) + +### Passport +- card_id: `card_071b07e1c482` +- source_id: `29355511d6e6` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/29355511d6e6/chunk_manifest.csv` + +### Limitations +- Как измерить эффективность для задач без четких числовых метрик (например, дизайн обложек)? `clean_note` +- Как обеспечить объективность оценки, если используется LLM? `clean_note` +- Как измерить "крупность" человека на обложке или текста с помощью LLM? `chunk_003` + + +## 91. 20260411__Claude_Code_Obsidian_Just_Changed_AI_Forever_Full_Setup + +### Summary +Использование Obsidian в качестве системы суперпамяти для AI-агентов для создания мощных систем знаний. + +### Passport +- card_id: `card_4c82f67515ee` +- source_id: `81b03e6b3400` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/81b03e6b3400/chunk_manifest.csv` + +### Limitations +- Как часто нужно обновлять знания граф? (not found in source) +- Как управлять большими знаниями графами? (not found in source) +- Как обеспечить точность транскрипции и анализа видео? (not found in source) +- Подробности о том, как именно AI-агент "понимает" тональность и стиль написания. (not found in source) + + +## 92. 20260413__AI_Agent_Revolution_How_to_Build_Production-Grade_Autonomous_Agents_Avoid_the + +### Summary +Построение производственных АИ-агентов. + +### Passport +- card_id: `card_6d9cbbe9d9f2` +- source_id: `98fb401e80f7` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/98fb401e80f7/chunk_manifest.csv` + +### Limitations +- Примеры конкретных реализаций или фреймворков, кроме упоминания Langraph, Crew AI и Anthropic Agent SDK. (chunk_002) +- Детальные примеры использования детерминистического скафолдинга, лейерной валидации или бессмысленной деградации. (clean_note) +- Конкретные примеры ошибок сигнатур функций или механизмов возврата. (chunk_001) +- Детальные примеры управления памятью и персистентностью. (clean_note) +- Детальные примеры аудиторских трейлов и контроля доступа. (clean_note) +- Детальные примеры управления стоимостью и модельного тирирования. (clean_note) +- Детальные примеры реализации HITL. (clean_note) + + +## 93. 20260417__How_To_Build_an_LLM_Knowledge_Base_in_Obsidian_with_Claude_Code + +### Summary +Создание LLM-базы знаний в Obsidian с использованием Claude Code. + +### Passport +- card_id: `card_70daac413587` +- source_id: `106455adc44e` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/106455adc44e/chunk_manifest.csv` + +### Limitations +- Как часто рекомендуется обновлять базу знаний? (not found in source) +- Какие форматы файлов лучше всего подходят для обработки LLM? (not found in source) +- Возможны ли конфликты при одновременной обработке нескольких файлов? (not found in source) + + +## 94. 20260424__Doing_Business_With_Friends_of_Friends_with_David_Burkus_Management_Networking + +### Summary +Networking and building connections through scientific principles of human behavior. + +### Passport +- card_id: `card_549932862464` +- source_id: `3b0a7ae4d3f7` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 9 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `chunk:chunk_008` +- `workspace/chunks/3b0a7ae4d3f7/chunk_manifest.csv` + +### Limitations +- The specific "Hot 100 List" methodology for obtaining referrals is not fully detailed beyond the initial outreach. (chunk_008) +- The exact "12-dollar word" for asking about non-work facets is not explicitly stated, but examples like "What impresses you right now?" or "Where are you growing?" are provided. (chunk_002) + + +## 95. 20260429__Practical_AI_Coding_Agent_Evaluation_with_SWE-bench_TeamCity_and_Juni_Ernst_Haagsman + +### Summary +Evaluation of AI coding agents using SWE-bench and JetBrains tools like TeamCity and Juni. + +### Passport +- card_id: `card_68d8014787a7` +- source_id: `d6cc85922a4a` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 14 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `chunk:chunk_005` +- `chunk:chunk_006` +- `chunk:chunk_007` +- `chunk:chunk_008` +- `chunk:chunk_009` +- `chunk:chunk_010` +- `chunk:chunk_011` +- `chunk:chunk_012` +- `chunk:chunk_013` +- `workspace/chunks/d6cc85922a4a/chunk_manifest.csv` + +### Limitations +- Specific details on how to "poke" an AI agent to retry a session if it ends abruptly. chunk_008 +- The exact nature of the "launch templates" used in AWS EC2 instances for TeamCity agents. chunk_006 +- Whether the AWS instances used are "spot instances." chunk_006 +- The specific model used by Juni by default when not explicitly specified. chunk_011 +- The exact functionality of the "JetBrains AI" platform beyond Juni. chunk_001, chunk_013 + + +## 96. 20260430__Build_a_Modern_Cost_Management_Dashboard_in_Power_BI_Excel_and_with_AI_Zebra_BI + +### Summary +Современные методы построения дашбордов управления затратами в Power BI и Excel с использованием Zebra BI. + +### Passport +- card_id: `card_f8b20ff4dccf` +- source_id: `404d3c0e9a5d` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/404d3c0e9a5d/chunk_manifest.csv` + +### Limitations +- Конкретные шаги по интеграции данных из разных источников в одну систему. `chunk_001` +- Детали настройки RLS в Power BI. `chunk_002` +- Как обеспечить точность данных при использовании AI для анализа. `chunk_003` + + +## 97. 20260501__The_Hidden_Habit_That_Keeps_Intelligent_People_Poor_Jim_Rohn_Motivation_Speech + +### Summary +The importance of execution and discipline over intelligence for achieving success, particularly financial success. + +### Passport +- card_id: `card_b62390df96c8` +- source_id: `a2c848152155` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 4 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `workspace/chunks/a2c848152155/chunk_manifest.csv` + +### Limitations +- Specific financial strategies or detailed steps for building discipline. +- Explicit mention of "clean note" or "transcript chunk evidence" within the source content itself. + + +## 98. 20260504__Claude_Code_Features_Explained_CLAUDE.md_Skills_MCP_More + +### Summary +Обзор функций Claude Code, включая код-мд, навыки, MCP, агент-темпы, суб-агенты и хуки. + +### Passport +- card_id: `card_b73d498bed23` +- source_id: `7710249c03dd` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/7710249c03dd/chunk_manifest.csv` + +### Limitations +- Как настроить хуки для автоматизации триггеров? not found in source +- Какие конкретные MCP доступны для интеграции, кроме SuperBase и Cloud Run? not found in source + + +## 99. 20260507__Modern_Data_Stack_Demo_Snowflake_dbt + +### Summary +Not specified in selected source card. + +### Passport +- card_id: `card_599552d197bd` +- source_id: `f824bf6b1e33` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/f824bf6b1e33/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 100. 20260507__Stop_Vibe-Testing_Your_AI_Agents_How_to_Actually_Run_Evals_in_25_Minutes + +### Summary +Оценка (evals) AI-агентов: методы, цели и лучшие практики для обеспечения качества и итеративного улучшения. + +### Passport +- card_id: `card_54bb32b30f23` +- source_id: `8aa5b73621c4` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/8aa5b73621c4/chunk_manifest.csv` + +### Limitations +- Конкретные инструменты или библиотеки для создания эвалов не упомянуты. (clean_note) +- Метрики для измерения качества самих traces (например, длина, количество использованных инструментов) не детализированы. (clean_note) +- Примеры golden dataset для специфических сценариев (финансовые агенты, чат-боты) не приведены. (clean_note) + + +## 101. 20260508__Obsidian_AI_Agents_How_My_Second_Brain_Becomes_an_Operating_System + +### Summary +Использование Obsidian как "второго мозга" для организации информации и интеграция AI-агентов для автоматизации задач. + +### Passport +- card_id: `card_42595cbb38ef` +- source_id: `a691103892ad` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/a691103892ad/chunk_manifest.csv` + +### Limitations +- Конкретные детали работы AI-агента Бутча по анализу репортов и принятию решений. (chunk_001) +- Конкретные инструменты или плагины, используемые для визуализации связей в Obsidian. (chunk_001) +- Как именно agent Бутч анализирует репорты и принимает решения? (Open Questions из clean note) +- Какие конкретные инструменты или плагины используются для визуализации связей в Obsidian? (Open Questions из clean note) + + +## 102. 20260519__Claude_Code_Superpowers_Review_Enforcing_TDD_and_Git_Worktrees_on_AI_Agents + +### Summary +Superpowers — это open-source фреймворк, предназначенный для обеспечения структурной дисциплины кодирования у AI-агентов, предотвращая "агентский слоп" и обеспечивая разработку на основе доказательств. + +### Passport +- card_id: `card_a29f0b852a7b` +- source_id: `039ae7b6765b` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/039ae7b6765b/chunk_manifest.csv` + +### Limitations +- Конкретные примеры использования фреймворка в проектах. +- Детали четырехэтапного процесса отладки. + + +## 103. 20260521__LLM-as-Judge_Why_Automated_Evals_Break_and_How_to_Fix_Them + +### Summary +Автоматизированные оценки LLM (LLM-as-a-judge) часто дают искаженные результаты, измеряя соответствие модели внутреннему представлению судьи, а не объективное качество. Волатильность результатов при смене модели-судьи подчеркивает эту проблему. + +### Passport +- card_id: `card_8422235fa20f` +- source_id: `ceacfed72908` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 3 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `workspace/chunks/ceacfed72908/chunk_manifest.csv` + +### Limitations +Not specified in selected source card. + + +## 104. Выступление_Космонавтов + +### Summary +Личный опыт космонавтов, включая подготовку, пребывание в космосе, адаптацию и восстановление. + +### Passport +- card_id: `card_f6564e188bb1` +- source_id: `c0590d4c7719` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 5 + +### Evidence +- `chunk:chunk_001` +- `chunk:chunk_002` +- `chunk:chunk_003` +- `chunk:chunk_004` +- `workspace/chunks/c0590d4c7719/chunk_manifest.csv` + +### Limitations +- Конкретные детали подготовки к полету на Луну. +- Специфика проводимых на станции экспериментов. +- Детальное описание восстановления после длительного пребывания в космосе. + + +## 105. Звездная_эстафета_Дима_2 + +### Summary +Создание лабораторного прибора климат-контроля для макета обитаемого космического модуля. + +### Passport +- card_id: `card_1bc28c228175` +- source_id: `a688c95759fa` +- confidence: `medium` +- support_status: `supported` +- review_status: `approved` +- evidence_count: 2 + +### Evidence +- `chunk:chunk_001` +- `workspace/chunks/a688c95759fa/chunk_manifest.csv` + +### Limitations +- Не указаны конкретные модели датчиков освещенности и их характеристики. not found in source +- Не указано, как именно реализована запись данных в CSV-файл (формат, частота записи). not found in source +- Не указано, как именно строились графики и искались пики. not found in source diff --git a/publish/chatgpt_project_compact_gold/KB__03_WORKFLOWS_TRACEABILITY.md b/publish/chatgpt_project_compact_gold/KB__03_WORKFLOWS_TRACEABILITY.md new file mode 100644 index 0000000..46f92d9 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__03_WORKFLOWS_TRACEABILITY.md @@ -0,0 +1,28 @@ +# Gold Selection And Traceability + +## Included +A card is included only when all conditions are true: + +- `schema_valid = true` +- `validation_status = pass` +- `support_status = supported` +- `review_status = approved` +- `confidence = medium` or `confidence = strong` +- `evidence_count >= 2` + +## Excluded +- weak evidence cards; +- unsupported cards; +- cards with missing required schema fields; +- cards requiring manual review; +- raw transcripts; +- chunks; +- clean notes; +- source-card dumps; +- workspace artifacts; +- logs, temp files, `.env`, credentials. + +## Current run +- total_selected_cards: 105 +- weak_cards_excluded: 293 +- unsupported_cards_excluded: 0 diff --git a/publish/chatgpt_project_compact_gold/KB__04_SMOKE_QA.md b/publish/chatgpt_project_compact_gold/KB__04_SMOKE_QA.md new file mode 100644 index 0000000..7540701 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__04_SMOKE_QA.md @@ -0,0 +1,14 @@ +# Gold Smoke QA + +## Questions +1. What topics are represented in the Gold package? +2. Which cards support KB, ChatGPT Project, or Codex workflows? +3. Which cards support finance, Power BI, or analytics workflows? +4. Which cards support AI agents, evals, or local AI workflows? +5. Pick one answer and cite `source_id`, `card_id`, and evidence references. +6. If the Gold package does not support a question, say that directly. + +## Expected behavior +- Use only uploaded Gold package files. +- Do not claim weak cards as Gold facts. +- Do not reference raw transcripts, chunks, clean notes, workspace folders, `.env`, or logs. diff --git a/publish/chatgpt_project_compact_gold/KB__05_CANONICAL_CONCEPTS.md b/publish/chatgpt_project_compact_gold/KB__05_CANONICAL_CONCEPTS.md new file mode 100644 index 0000000..d7dbf41 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__05_CANONICAL_CONCEPTS.md @@ -0,0 +1,109 @@ +# Gold Canonical Concepts + +Use concepts only when grounded by cards in `KB__02_CONTENT.md`. + +- 20140516__Easy_to_Run_Data_Analysis_for_Accounts_Payable (`8bd25f49e2b1`) +- 20200608__Webinar_Getting_started_as_a_1Password_administrator (`094f121cf2f4`) +- 20200803__Why_Things_3_is_my_Favorite_GTD_Task_Manager (`233806bbc22b`) +- 20200820__My_Things_3_GTD_Setup_shortcuts_and_advanced_tags (`252ce08af5f2`) +- 20201026__Things_3_Magic_Button (`6677760fdf14`) +- 20210118__Things_3_Automation_with_Taskpaper_and_Drafts (`855d843d1732`) +- 20220218__Variance_Analysis_Example_Actuals_vs_Budget (`17c0710bfebd`) +- 20220611__How_to_Organize_a_Project_with_Things_3_Apple_Notes (`31c7d8979d66`) +- 20220929__Variance_Analysis_Budget_vs_Actual (`abdcb5dc5d78`) +- 20230207__The_3_Types_Of_Weekly_Review (`205904a12467`) +- 20230605__Increase_asset_and_productivity_with_a_Condition-Based_Maintenance_strategy_John_Crane (`678e288772ee`) +- 20230917__Building_A_Second_Brain_Simple_and_Practical_Guide (`eaf6efc00b3c`) +- 20231113__A_Deep_Dive_into_Getting_Things_Done_GTD_Using_TickTick (`abd78d54bbc2`) +- 20240104__Automate_reconciliations_with_Power_Query_Excel_Off_The_Grid (`b1b531c64950`) +- 20240202__Organize_Your_Google_Drive_Using_the_Para_Method (`d45f94d7afe9`) +- 20240505__RAGAS_How_to_Evaluate_a_RAG_Application_Like_a_Pro_for_Beginners (`079e99b44ad4`) +- 20240718__How_to_get_started_with_1Password (`928f5b4b6f02`) +- 20241111__Mastering_Obsidian_Templates_My_Workflow_and_Setup_Tips (`cde291adf7e0`) +- 20250212__AI_in_Docker_Run_Ollama_and_Large_Language_Models_Using_Docker_Containers (`64a0bd159466`) +- 20250227__I_Built_the_ULTIMATE_n8n_RAG_AI_Agent_Template (`f6aa57473d57`) +- 20250302__What_Grok_3_Gets_That_o1_Pro_Missed (`6855a399b7a1`) +- 20250404__Efficient_LLM_Inference_on_Last-Gen_GPUs_CalmeRys_Ollama_Test_on_6x_RTX_3090_Grando (`70c39ad1988b`) +- 20250415__GTD_in_Obsidian_-_Experimental_Encounters_25 (`a16496b9b0d1`) +- 20250416__How_to_Do_an_Effortless_Weekly_Review_in_Obsidian (`71e059fdc87a`) +- 20250521__Create_the_PERFECT_PowerPoint_as_a_Finance_Pro_2025_Tutorial (`985e1ca4a8bf`) +- 20250526__Claude_4_ADVANCED_AI_Coding_How_I_PARALLELIZE_Claude_Code_with_Git_Worktrees (`eeb7703ca50c`) +- 20250621__Budget_Variance_Analysis_A_Step_by_Step_Guide_for_Finance_Professionals_1 (`6e8bdf5c115f`) +- 20250721__Modern_Data_Stack_Explained_in_3_minutes (`0b6bc719aa17`) +- 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a/publish/chatgpt_project_compact_gold/KB__06_OPERATIONAL_FRAMEWORKS.md b/publish/chatgpt_project_compact_gold/KB__06_OPERATIONAL_FRAMEWORKS.md new file mode 100644 index 0000000..d19449f --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__06_OPERATIONAL_FRAMEWORKS.md @@ -0,0 +1,8 @@ +# Gold Operational Frameworks + +## Framework +1. Find the relevant Gold card in `KB__02_CONTENT.md`. +2. Check `confidence`, `support_status`, and `evidence_count`. +3. Use the card summary as the answer base. +4. Cite `source_id`, `card_id`, and evidence references. +5. State limitations from the card. diff --git a/publish/chatgpt_project_compact_gold/KB__07_PATTERNS_AND_FAILURES.md b/publish/chatgpt_project_compact_gold/KB__07_PATTERNS_AND_FAILURES.md new file mode 100644 index 0000000..7702bc5 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__07_PATTERNS_AND_FAILURES.md @@ -0,0 +1,11 @@ +# Gold Patterns And Failures + +## Patterns +- Prefer supported cards over weak cards. +- Cite evidence references. +- Keep limitations visible. + +## Failure modes +- Treating weak evidence as Gold evidence. +- Answering without a `source_id`. +- Using raw transcripts, chunks, clean notes, or workspace artifacts as upload sources. diff --git a/publish/chatgpt_project_compact_gold/KB__08_USE_CASES_FOR_SERGEY.md b/publish/chatgpt_project_compact_gold/KB__08_USE_CASES_FOR_SERGEY.md new file mode 100644 index 0000000..4c2f558 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__08_USE_CASES_FOR_SERGEY.md @@ -0,0 +1,7 @@ +# Gold Use Cases + +## Use cases +- Ask grounded questions against the strongest selected KB cards. +- Prepare Codex tasks from supported KB material. +- Build finance, analytics, AI workflow, and knowledge-system summaries with explicit evidence. +- Check whether a question is unsupported by the Gold package before answering. diff --git a/publish/chatgpt_project_compact_gold/KB__CARD_SCHEMA.md b/publish/chatgpt_project_compact_gold/KB__CARD_SCHEMA.md new file mode 100644 index 0000000..c9329e1 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__CARD_SCHEMA.md @@ -0,0 +1,13 @@ +# Gold Card Schema + +Required fields: +- card_id +- source_id +- title +- summary +- confidence +- support_status +- review_status +- evidence_count +- evidence +- limitations diff --git a/publish/chatgpt_project_compact_gold/KB__CHANGELOG.md b/publish/chatgpt_project_compact_gold/KB__CHANGELOG.md new file mode 100644 index 0000000..f7b98ba --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__CHANGELOG.md @@ -0,0 +1,5 @@ +# Gold Changelog + +## Current build +- Built compact Gold package with 105 supported cards. +- Excluded weak and unsupported cards. diff --git a/publish/chatgpt_project_compact_gold/KB__CONFIDENCE_RULES.md b/publish/chatgpt_project_compact_gold/KB__CONFIDENCE_RULES.md new file mode 100644 index 0000000..134f34e --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__CONFIDENCE_RULES.md @@ -0,0 +1,11 @@ +# Gold Confidence Rules + +## Included +- medium +- strong + +## Excluded +- weak +- unsupported + +Gold does not mean every card is labelled `strong`; it means every included card is supported, approved, schema-valid, and evidence-backed. diff --git a/publish/chatgpt_project_compact_gold/KB__DEDUPLICATION.md b/publish/chatgpt_project_compact_gold/KB__DEDUPLICATION.md new file mode 100644 index 0000000..2fb6db5 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__DEDUPLICATION.md @@ -0,0 +1,3 @@ +# Gold Deduplication + +Duplicate conflicts are excluded from Gold admission. diff --git a/publish/chatgpt_project_compact_gold/KB__PROMOTION_GATES.md b/publish/chatgpt_project_compact_gold/KB__PROMOTION_GATES.md new file mode 100644 index 0000000..ae36326 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__PROMOTION_GATES.md @@ -0,0 +1,10 @@ +# Gold Promotion Gates + +## Gate result +- selected_cards: 105 +- weak_cards_excluded: 293 +- unsupported_cards_excluded: 0 +- manual_review_required: no + +## Upload readiness +This package is ready for ChatGPT Project upload as the Gold package. diff --git a/publish/chatgpt_project_compact_gold/KB__RELEASE_MANIFEST.md b/publish/chatgpt_project_compact_gold/KB__RELEASE_MANIFEST.md new file mode 100644 index 0000000..17538c5 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__RELEASE_MANIFEST.md @@ -0,0 +1,7 @@ +# Gold Release Manifest + +- package: compact_gold +- selected_cards: 105 +- source_count: 105 +- weak_excluded: 293 +- unsupported_excluded: 0 diff --git a/publish/chatgpt_project_compact_gold/KB__RETRIEVAL_QA.md b/publish/chatgpt_project_compact_gold/KB__RETRIEVAL_QA.md new file mode 100644 index 0000000..c4029ac --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__RETRIEVAL_QA.md @@ -0,0 +1,3 @@ +# Gold Retrieval QA + +After upload, answers should cite card ids, source ids, and evidence references from `KB__02_CONTENT.md`. diff --git a/publish/chatgpt_project_compact_gold/KB__REVIEW_QUEUE.md b/publish/chatgpt_project_compact_gold/KB__REVIEW_QUEUE.md new file mode 100644 index 0000000..2d3220e --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__REVIEW_QUEUE.md @@ -0,0 +1,5 @@ +# Gold Review Queue + +- item_count: 0 +- weak_items: excluded +- unsupported_items: excluded diff --git a/publish/chatgpt_project_compact_gold/KB__USE_CASE_ROUTING.md b/publish/chatgpt_project_compact_gold/KB__USE_CASE_ROUTING.md new file mode 100644 index 0000000..2a3c05c --- /dev/null +++ b/publish/chatgpt_project_compact_gold/KB__USE_CASE_ROUTING.md @@ -0,0 +1,3 @@ +# Gold Use Case Routing + +Route all answers through `KB__02_CONTENT.md` and cite the relevant Gold card. diff --git a/publish/chatgpt_project_compact_gold/MANIFEST.md b/publish/chatgpt_project_compact_gold/MANIFEST.md new file mode 100644 index 0000000..53dbfb0 --- /dev/null +++ b/publish/chatgpt_project_compact_gold/MANIFEST.md @@ -0,0 +1,23 @@ +# Gold Manifest + +- `KB__00_INDEX.md` +- `KB__01_NAVIGATION.md` +- `KB__02_CONTENT.md` +- `KB__03_WORKFLOWS_TRACEABILITY.md` +- `KB__04_SMOKE_QA.md` +- `KB__05_CANONICAL_CONCEPTS.md` +- `KB__06_OPERATIONAL_FRAMEWORKS.md` +- `KB__07_PATTERNS_AND_FAILURES.md` +- `KB__08_USE_CASES_FOR_SERGEY.md` +- `KB__CARD_SCHEMA.md` +- `KB__CHANGELOG.md` +- `KB__CONFIDENCE_RULES.md` +- `KB__DEDUPLICATION.md` +- `KB__PROMOTION_GATES.md` +- `KB__RELEASE_MANIFEST.md` +- `KB__RETRIEVAL_QA.md` +- `KB__REVIEW_QUEUE.md` +- `KB__USE_CASE_ROUTING.md` +- `MANIFEST.md` +- `README.md` +- `SYNTHESIS_MANIFEST.md` diff --git a/publish/chatgpt_project_compact_gold/README.md b/publish/chatgpt_project_compact_gold/README.md new file mode 100644 index 0000000..5ebe0fe --- /dev/null +++ b/publish/chatgpt_project_compact_gold/README.md @@ -0,0 +1,5 @@ +# Compact Gold ChatGPT Project KB + +Upload every file from this folder into one ChatGPT Project knowledge area. + +This package contains 105 supported cards and excludes weak cards, unsupported cards, raw transcripts, chunks, clean notes, workspace files, logs, and `.env`. diff --git a/publish/chatgpt_project_compact_gold/SYNTHESIS_MANIFEST.md b/publish/chatgpt_project_compact_gold/SYNTHESIS_MANIFEST.md new file mode 100644 index 0000000..416737e --- /dev/null +++ b/publish/chatgpt_project_compact_gold/SYNTHESIS_MANIFEST.md @@ -0,0 +1,9 @@ +# Gold Synthesis Manifest + +## Summary +- selected_cards: 105 +- weak_excluded: 293 +- unsupported_excluded: 0 + +## Source +Built from `publish/card_validation_report.json`. diff --git a/scripts/build_chatgpt_upload_packages.py b/scripts/build_chatgpt_upload_packages.py new file mode 100644 index 0000000..36d5987 --- /dev/null +++ b/scripts/build_chatgpt_upload_packages.py @@ -0,0 +1,401 @@ +#!/usr/bin/env python3 +from __future__ import annotations + +import argparse +import json +import re +import shutil +from pathlib import Path + + +ROOT = Path(__file__).resolve().parents[1] +PUBLISH_DIR = ROOT / "publish" +CARD_REPORT = PUBLISH_DIR / "card_validation_report.json" +COMPACT_DIR = PUBLISH_DIR / "chatgpt_project_compact" +GOLD_DIR = PUBLISH_DIR / "chatgpt_project_compact_gold" +GENERAL_DIR = PUBLISH_DIR / "chatgpt_project_compact_general" +PACKAGE_FILES = [ + "KB__00_INDEX.md", + "KB__01_NAVIGATION.md", + "KB__02_CONTENT.md", + "KB__03_WORKFLOWS_TRACEABILITY.md", + "KB__04_SMOKE_QA.md", + "KB__05_CANONICAL_CONCEPTS.md", + "KB__06_OPERATIONAL_FRAMEWORKS.md", + "KB__07_PATTERNS_AND_FAILURES.md", + "KB__08_USE_CASES_FOR_SERGEY.md", + "KB__CARD_SCHEMA.md", + "KB__CHANGELOG.md", + "KB__CONFIDENCE_RULES.md", + "KB__DEDUPLICATION.md", + "KB__PROMOTION_GATES.md", + "KB__RELEASE_MANIFEST.md", + "KB__RETRIEVAL_QA.md", + "KB__REVIEW_QUEUE.md", + "KB__USE_CASE_ROUTING.md", + "MANIFEST.md", + "README.md", + "SYNTHESIS_MANIFEST.md", +] + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description="Build flat ChatGPT upload packages.") + parser.add_argument("--card-report", default=str(CARD_REPORT)) + parser.add_argument("--compact-dir", default=str(COMPACT_DIR)) + parser.add_argument("--gold-dir", default=str(GOLD_DIR)) + parser.add_argument("--general-dir", default=str(GENERAL_DIR)) + return parser.parse_args() + + +def read_json(path: Path) -> dict: + return json.loads(path.read_text(encoding="utf-8")) + + +def reset_flat_dir(path: Path) -> None: + path.mkdir(parents=True, exist_ok=True) + for item in path.iterdir(): + if item.is_file(): + item.unlink() + + +def slug(value: str, fallback: str) -> str: + value = re.sub(r"[^A-Za-zА-Яа-я0-9._-]+", "_", value).strip("._-") + value = re.sub(r"_+", "_", value) + return value[:120] or fallback + + +def clean_text(value: str) -> str: + value = (value or "").strip() + if not value or value.lower() in {"not found", "not found in source"}: + return "Not specified in selected source card." + return value + + +def gold_cards(card_report: dict) -> list[dict]: + cards = [ + card + for card in card_report.get("cards", []) + if card.get("schema_valid") is True + and card.get("validation_status") == "pass" + and card.get("support_status") == "supported" + and card.get("review_status") == "approved" + and card.get("confidence") in {"medium", "strong"} + and int(card.get("evidence_count", 0)) >= 2 + ] + return sorted(cards, key=lambda card: (card.get("title", "").lower(), card.get("source_id", ""))) + + +def render_gold_card(card: dict) -> str: + evidence = "\n".join(f"- `{item}`" for item in card.get("evidence", [])) + if not evidence: + evidence = "- source evidence recorded in validation report" + return f"""# {card.get("title", "Untitled")} + +## Summary +{clean_text(card.get("summary", ""))} + +## Passport +- card_id: `{card.get("card_id", "")}` +- source_id: `{card.get("source_id", "")}` +- confidence: `{card.get("confidence", "")}` +- support_status: `{card.get("support_status", "")}` +- review_status: `{card.get("review_status", "")}` +- evidence_count: {card.get("evidence_count", 0)} + +## Evidence +{evidence} + +## Limitations +{clean_text(card.get("limitations", ""))} +""" + + +def render_gold_card_block(card: dict, idx: int) -> str: + evidence = "\n".join(f"- `{item}`" for item in card.get("evidence", [])) + if not evidence: + evidence = "- source evidence recorded in validation report" + return f"""## {idx}. {card.get("title", "Untitled")} + +### Summary +{clean_text(card.get("summary", ""))} + +### Passport +- card_id: `{card.get("card_id", "")}` +- source_id: `{card.get("source_id", "")}` +- confidence: `{card.get("confidence", "")}` +- support_status: `{card.get("support_status", "")}` +- review_status: `{card.get("review_status", "")}` +- evidence_count: {card.get("evidence_count", 0)} + +### Evidence +{evidence} + +### Limitations +{clean_text(card.get("limitations", ""))} +""" + + +def write(path: Path, text: str) -> None: + path.write_text(text.rstrip() + "\n", encoding="utf-8") + + +def build_gold(card_report: dict, gold_dir: Path) -> int: + reset_flat_dir(gold_dir) + cards = gold_cards(card_report) + supported_count = len(cards) + weak_count = len([card for card in card_report.get("cards", []) if card.get("confidence") == "weak"]) + unsupported_count = len([card for card in card_report.get("cards", []) if card.get("confidence") == "unsupported"]) + source_count = len({card.get("source_id") for card in cards if card.get("source_id")}) + content = "\n\n".join(render_gold_card_block(card, idx) for idx, card in enumerate(cards, 1)) + + write( + gold_dir / "KB__00_INDEX.md", + f"""# Compact Gold ChatGPT Project KB Package + +## Package purpose +This package is prepared for ChatGPT Project upload and contains only the strongest currently approved card set. + +## Package rule +Gold includes `medium` or `strong` cards with `support_status=supported`, `review_status=approved`, valid schema, and at least two evidence references. + +## Current counts +- gold_cards: {supported_count} +- source_count: {source_count} +- weak_cards_excluded: {weak_count} +- unsupported_cards_excluded: {unsupported_count} + +## Files to upload +{chr(10).join(f"- `{name}`" for name in PACKAGE_FILES)} + +## Start here +Use `KB__02_CONTENT.md` as the primary factual source and `KB__03_WORKFLOWS_TRACEABILITY.md` for selection criteria. +""", + ) + write( + gold_dir / "KB__01_NAVIGATION.md", + f"""# Gold Navigation + +## How to use this package +- Start with `KB__00_INDEX.md`. +- Use `KB__02_CONTENT.md` for the selected supported cards. +- Use `KB__03_WORKFLOWS_TRACEABILITY.md` to verify why a card was admitted to Gold. +- Use `KB__04_SMOKE_QA.md` after upload to test grounding. + +## Included knowledge level +- Supported cards: {supported_count} +- Confidence levels: medium, strong +- Weak cards: excluded +- Unsupported cards: excluded + +## Answer rule +Answers should cite `source_id`, `card_id`, and evidence references from `KB__02_CONTENT.md`. +""", + ) + write(gold_dir / "KB__02_CONTENT.md", f"# Gold Supported Cards\n\nTotal cards: {supported_count}\n\n{content}") + write( + gold_dir / "KB__03_WORKFLOWS_TRACEABILITY.md", + f"""# Gold Selection And Traceability + +## Included +A card is included only when all conditions are true: + +- `schema_valid = true` +- `validation_status = pass` +- `support_status = supported` +- `review_status = approved` +- `confidence = medium` or `confidence = strong` +- `evidence_count >= 2` + +## Excluded +- weak evidence cards; +- unsupported cards; +- cards with missing required schema fields; +- cards requiring manual review; +- raw transcripts; +- chunks; +- clean notes; +- source-card dumps; +- workspace artifacts; +- logs, temp files, `.env`, credentials. + +## Current run +- total_selected_cards: {supported_count} +- weak_cards_excluded: {weak_count} +- unsupported_cards_excluded: {unsupported_count} +""", + ) + write( + gold_dir / "KB__04_SMOKE_QA.md", + """# Gold Smoke QA + +## Questions +1. What topics are represented in the Gold package? +2. Which cards support KB, ChatGPT Project, or Codex workflows? +3. Which cards support finance, Power BI, or analytics workflows? +4. Which cards support AI agents, evals, or local AI workflows? +5. Pick one answer and cite `source_id`, `card_id`, and evidence references. +6. If the Gold package does not support a question, say that directly. + +## Expected behavior +- Use only uploaded Gold package files. +- Do not claim weak cards as Gold facts. +- Do not reference raw transcripts, chunks, clean notes, workspace folders, `.env`, or logs. +""", + ) + write( + gold_dir / "KB__05_CANONICAL_CONCEPTS.md", + "# Gold Canonical Concepts\n\nUse concepts only when grounded by cards in `KB__02_CONTENT.md`.\n\n" + + "\n".join(f"- {card.get('title', 'Untitled')} (`{card.get('source_id', '')}`)" for card in cards), + ) + write( + gold_dir / "KB__06_OPERATIONAL_FRAMEWORKS.md", + """# Gold Operational Frameworks + +## Framework +1. Find the relevant Gold card in `KB__02_CONTENT.md`. +2. Check `confidence`, `support_status`, and `evidence_count`. +3. Use the card summary as the answer base. +4. Cite `source_id`, `card_id`, and evidence references. +5. State limitations from the card. +""", + ) + write( + gold_dir / "KB__07_PATTERNS_AND_FAILURES.md", + """# Gold Patterns And Failures + +## Patterns +- Prefer supported cards over weak cards. +- Cite evidence references. +- Keep limitations visible. + +## Failure modes +- Treating weak evidence as Gold evidence. +- Answering without a `source_id`. +- Using raw transcripts, chunks, clean notes, or workspace artifacts as upload sources. +""", + ) + write( + gold_dir / "KB__08_USE_CASES_FOR_SERGEY.md", + """# Gold Use Cases + +## Use cases +- Ask grounded questions against the strongest selected KB cards. +- Prepare Codex tasks from supported KB material. +- Build finance, analytics, AI workflow, and knowledge-system summaries with explicit evidence. +- Check whether a question is unsupported by the Gold package before answering. +""", + ) + write( + gold_dir / "KB__CARD_SCHEMA.md", + """# Gold Card Schema + +Required fields: +- card_id +- source_id +- title +- summary +- confidence +- support_status +- review_status +- evidence_count +- evidence +- limitations +""", + ) + write( + gold_dir / "KB__CHANGELOG.md", + f"""# Gold Changelog + +## Current build +- Built compact Gold package with {supported_count} supported cards. +- Excluded weak and unsupported cards. +""", + ) + write( + gold_dir / "KB__CONFIDENCE_RULES.md", + """# Gold Confidence Rules + +## Included +- medium +- strong + +## Excluded +- weak +- unsupported + +Gold does not mean every card is labelled `strong`; it means every included card is supported, approved, schema-valid, and evidence-backed. +""", + ) + write(gold_dir / "KB__DEDUPLICATION.md", "# Gold Deduplication\n\nDuplicate conflicts are excluded from Gold admission.\n") + write( + gold_dir / "KB__PROMOTION_GATES.md", + f"""# Gold Promotion Gates + +## Gate result +- selected_cards: {supported_count} +- weak_cards_excluded: {weak_count} +- unsupported_cards_excluded: {unsupported_count} +- manual_review_required: no + +## Upload readiness +This package is ready for ChatGPT Project upload as the Gold package. +""", + ) + write(gold_dir / "KB__RELEASE_MANIFEST.md", f"# Gold Release Manifest\n\n- package: compact_gold\n- selected_cards: {supported_count}\n- source_count: {source_count}\n- weak_excluded: {weak_count}\n- unsupported_excluded: {unsupported_count}\n") + write(gold_dir / "KB__RETRIEVAL_QA.md", "# Gold Retrieval QA\n\nAfter upload, answers should cite card ids, source ids, and evidence references from `KB__02_CONTENT.md`.\n") + write(gold_dir / "KB__REVIEW_QUEUE.md", "# Gold Review Queue\n\n- item_count: 0\n- weak_items: excluded\n- unsupported_items: excluded\n") + write(gold_dir / "KB__USE_CASE_ROUTING.md", "# Gold Use Case Routing\n\nRoute all answers through `KB__02_CONTENT.md` and cite the relevant Gold card.\n") + write( + gold_dir / "MANIFEST.md", + "# Gold Manifest\n\n" + "\n".join(f"- `{name}`" for name in PACKAGE_FILES), + ) + write( + gold_dir / "README.md", + f"""# Compact Gold ChatGPT Project KB + +Upload every file from this folder into one ChatGPT Project knowledge area. + +This package contains {supported_count} supported cards and excludes weak cards, unsupported cards, raw transcripts, chunks, clean notes, workspace files, logs, and `.env`. +""", + ) + write( + gold_dir / "SYNTHESIS_MANIFEST.md", + f"""# Gold Synthesis Manifest + +## Summary +- selected_cards: {supported_count} +- weak_excluded: {weak_count} +- unsupported_excluded: {unsupported_count} + +## Source +Built from `publish/card_validation_report.json`. +""", + ) + return len(cards) + + +def build_general(compact_dir: Path, general_dir: Path) -> int: + reset_flat_dir(general_dir) + count = 0 + for source in sorted(compact_dir.iterdir(), key=lambda item: item.name.lower()): + if source.is_file(): + shutil.copy2(source, general_dir / source.name) + count += 1 + return count + + +def main() -> int: + args = parse_args() + card_report = read_json(Path(args.card_report)) + gold_count = build_gold(card_report, Path(args.gold_dir)) + general_count = build_general(Path(args.compact_dir), Path(args.general_dir)) + print(f"gold_dir={args.gold_dir}") + print(f"gold_card_count={gold_count}") + print(f"general_dir={args.general_dir}") + print(f"general_file_count={general_count}") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/scripts/run_managed_knowledge_factory.py b/scripts/run_managed_knowledge_factory.py index 9ed177c..e253f1d 100644 --- a/scripts/run_managed_knowledge_factory.py +++ b/scripts/run_managed_knowledge_factory.py @@ -64,8 +64,25 @@ def main() -> int: run_step([sys.executable, "scripts/run_acceptance_gate.py"]) run_step([sys.executable, "scripts/run_promotion_gate.py"]) run_step([sys.executable, "scripts/build_release_manifest.py"]) + run_step([sys.executable, "scripts/build_chatgpt_upload_packages.py"]) if not args.skip_tests: run_step([sys.executable, "-m", "pytest", "-q", "tests"]) + run_step([sys.executable, "scripts/validate_card_passports.py"]) + run_step([sys.executable, "scripts/run_deduplication.py", "--use-ollama", "off"]) + run_step( + [ + sys.executable, + "scripts/run_retrieval_qa.py", + "--use-ollama", + "off", + "--use-gemini", + "off", + ] + ) + run_step([sys.executable, "scripts/run_acceptance_gate.py"]) + run_step([sys.executable, "scripts/run_promotion_gate.py"]) + run_step([sys.executable, "scripts/build_release_manifest.py"]) + run_step([sys.executable, "scripts/build_chatgpt_upload_packages.py"]) return 0 diff --git a/tests/test_chatgpt_upload_packages.py b/tests/test_chatgpt_upload_packages.py new file mode 100644 index 0000000..7b13ef9 --- /dev/null +++ b/tests/test_chatgpt_upload_packages.py @@ -0,0 +1,80 @@ +import json +import subprocess +from pathlib import Path + + +def test_build_chatgpt_upload_packages_creates_flat_gold_and_general(tmp_path): + compact_dir = tmp_path / "compact" + gold_dir = tmp_path / "gold" + general_dir = tmp_path / "general" + report_path = tmp_path / "card_validation_report.json" + compact_dir.mkdir() + (compact_dir / "KB__00_INDEX.md").write_text("# Index\n", encoding="utf-8") + (compact_dir / "KB__02_CONTENT.md").write_text("# Content\n", encoding="utf-8") + + cards = [] + for idx in range(2): + cards.append( + { + "card_id": f"card_{idx}", + "source_id": f"src_{idx}", + "title": f"Supported Card {idx}", + "summary": "Supported summary.", + "limitations": "Known limitation.", + "evidence": ["chunk:chunk_001", "chunk:chunk_002"], + "evidence_count": 2, + "confidence": "medium", + "support_status": "supported", + "review_status": "approved", + "schema_valid": True, + "validation_status": "pass", + } + ) + cards.append( + { + "card_id": "card_weak", + "source_id": "src_weak", + "title": "Weak Card", + "summary": "Weak summary.", + "limitations": "", + "evidence": ["chunk:chunk_001"], + "evidence_count": 1, + "confidence": "weak", + "support_status": "weak", + "review_status": "auto_triaged_weak_evidence", + "schema_valid": True, + "validation_status": "pass", + } + ) + report_path.write_text(json.dumps({"cards": cards}), encoding="utf-8") + + result = subprocess.run( + [ + "python3", + "scripts/build_chatgpt_upload_packages.py", + "--card-report", + str(report_path), + "--compact-dir", + str(compact_dir), + "--gold-dir", + str(gold_dir), + "--general-dir", + str(general_dir), + ], + check=False, + capture_output=True, + text=True, + ) + + assert result.returncode == 0, result.stderr + gold_files = sorted(gold_dir.glob("*.md")) + general_files = sorted(general_dir.glob("*.md")) + assert len(gold_files) == 21 + assert len(general_files) == 2 + assert not any(path.is_dir() for path in gold_dir.iterdir()) + gold_content = "\n".join(path.read_text(encoding="utf-8") for path in gold_files) + assert "Weak Card" not in gold_content + assert "Supported Card 0" in gold_content + assert (gold_dir / "KB__00_INDEX.md").exists() + assert (gold_dir / "KB__02_CONTENT.md").exists() + assert (general_dir / "KB__00_INDEX.md").exists()