Agent skill · software engineering · aradotso
edict-multi-agent-orchestration
Install and use the Edict (三省六部) multi-agent orchestration system with 12 specialized AI agents, real-time kanban dashboard, and audit trails
Why this skill is useful
Adds installation scripts and configuration commands for a multi-agent orchestration system that fundamentally extends the AI's capabilities in managing complex workflows.
What it needs
Requires docker, node, python installed locally. About 8k tokens when loaded. Last updated 2026-07-09. 70 stars on the source repository.
What this skill does
Edict (三省六部) Multi-Agent Orchestration Skill by ara.so — Daily 2026 Skills collection. Edict implements a 1400-year-old Tang Dynasty governance model as an AI multi-agent architecture. Twelve specialized agents form a checks-and-balances pipeline: Crown Prince (triage) → Zhongshu (planning) → Menxia (review/veto) → Shangshu (dispatch) → Six Ministries (parallel execution). Built on OpenClaw, it provides a real-time React kanban dashboard, full audit trails, and per-agent LLM configuration. --- Architecture Overview Key differentiator vs CrewAI/AutoGen: Menxia (门下省) is a mandatory quality gate — it can veto and force rework before tasks reach executors. --- Prerequisites OpenClaw installed and running Python 3.9+ Node.js 18+ (for React dashboard build) macOS or Linux --- Installation Quick Demo (Docker — no OpenClaw needed) Open http://localhost:7891 Full Installation The install script automatically: Creates all 12 agent workspaces (taizi, zhongshu, menxia, shangshu, hubu, libu, bingbu, xingbu, gongbu, libu2, zaochao, legacy-compat) Writes SOUL.md role definitions to each agent workspace Registers agents and permission matrix in openclaw.json Symlinks shared data directories across all agent workspaces Sets sessions.visibility all for inter-agent message routing Syncs API keys across all agents Builds React frontend Initializes data directory and syncs official stats First-time API Key Setup --- Running the System --- Key Commands OpenClaw Agent Management Dashboard Server Data Scripts --- Configuration Agent Model Configuration (openclaw.json) Per-Agent Model Hot-Switching (via Dashboard) Navigate to ⚙️ Models panel → select agent → choose LLM → Apply. Gateway restarts automatically (~5 seconds). …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/edict-multi-agent-orchestration