multica

Public multi-agent workbench skill pack for SDD, review gates, context discipline, VM lanes, Sanity context, and autonomous agent coordination.

Production-grade software delivery for coding-agent teams on Multica — dynamic planning, deterministic execution, verifiable delivery.

📦 iCoreTech Helm Charts

Chinese template for designing Multica multi-agent + skill workflows around task type, budget, models, and verification gates.

Mops 🐶 — your Executive Advisor for Multica: builds and runs an autonomous company of AI agents. Interview → team → conveyor → console.

⚡ DSH 指挥家 / Conductor for DeepSeek Harness — in-session dispatch to 11 external agent CLIs (Codex, Claude Code, TraeCode, OpenCode, Gemini, Cursor, Kimi, Qwen, Copilot, WorkBuddy, Grok). Zero-dep skill + host-only bundle.

Public reference operating model for reusable, evidence-driven AI agent teams on Multica.

Installable AI agent Skill for Multica squad design. 可安装的 Multica Agent 小队设计 Skill。

The definitive collection of core foundational skills for the Multica Agentic coding platform. 🚀

Open-source Codex plugin for syncing Codex Desktop tasks with Multica issues

Multica 自托管部署工具：支持 NAS/Linux Docker 部署、源码构建、升级回滚、NetBird 私网、Gitea OAuth，以及 Windows 桌面端同步。

One-click deploy templates for Zeabur — n8n, Multica, and more

HITL-free AI agent automation pipeline blueprint for Multica — 10-layer architecture, 5-phase rollout, OSS harness benchmarks (Aider/SWE-agent/OpenHands/LangGraph 등 13개 차용)

Reusable context pack for running agent squads on Multica — dev (scaffold-first: backend/frontend/qa) and non-dev (research/content/analysis) tracks. Claude as guide, Multica as workspace.

Multica JSONL bridge profile for DeepSeek Harness

Pi extension that keeps Multica work agents bound to the issue → PR → evidence → handoff contract.

A production-constrained Webhook Inbox built end-to-end by oh-my-multica on Multica

Claude/AI-agent skill for the Multica CLI — agent-native issue tracker & workspace operator (issues, agents, autopilots, projects, runtimes, and more).

Mini ATS built end-to-end by an AI agent squad on Multica — PM, Designer, Backend, Frontend, QA

Structured commenting protocol for multi-agent collaboration. Turn issue threads from unreadable agent chatter into auditable case files.