edict-multi-agent-orchestration — Claude Code skill: setup guide
Orchestrates 12 specialized AI agents through an OpenClaw pipeline with quality gates, per-agent model configs, and a React kanban board.
npx skills add reason-machines/trending-skills --skill edict-multi-agent-orchestration -a claude-codeWhat edict-multi-agent-orchestration does
The skill configures an OpenClaw multi-agent workflow based on historical imperial governance principles. Incoming requests land with taizi for intake, move to zhongshu for decomposition into smaller jobs, and pass through menxia before dispatching. The menxia agent acts as a mandatory review barrier that can reject plans and mandate revisions.
Execution happens through specialized ministry agents covering areas like engineering, data, strategy, and compliance. The system includes a React-based kanban dashboard running on port 7891, powered by a local Python server and WebSockets. Model assignments can be adjusted per agent directly in the dashboard interface.
Running the full setup demands OpenClaw, Python 3.9+, Node.js 18+, and a Linux or macOS environment. On Windows, execution requires WSL2 or running the prebuilt container via Docker.
What it helps with
- route incoming requests through a triage and planning pipeline
- enforce mandatory quality checks with veto power before task execution
- track agent task transitions on a real-time kanban board
- assign different language models to individual agent roles
Example prompts for the agent
- Help me install the Edict orchestration system and set up OpenClaw agents
- Show how to configure the Edict kanban dashboard and run the update loop
- Explain the task state machine and permission matrix in Edict
How to install edict-multi-agent-orchestration
1Skills CLI (Vercel)
npx skills add reason-machines/trending-skills --skill edict-multi-agent-orchestration -a claude-code2Manually: put the files in place
~/.claude/skills/edict-multi-agent-orchestration/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/edict-multi-agent-orchestration/
1Skills CLI (Vercel)
npx skills add reason-machines/trending-skills --skill edict-multi-agent-orchestration -a codex2Manually: put the files in place
.agents/skills/edict-multi-agent-orchestration/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add reason-machines/trending-skills --skill edict-multi-agent-orchestration -a cursor2Manually: put the files in place
.cursor/skills/edict-multi-agent-orchestration/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install reason-machines/trending-skills edict-multi-agent-orchestration2Manually: put the files in place
.github/skills/edict-multi-agent-orchestration/SKILL.md1Skills CLI (Vercel)
npx skills add reason-machines/trending-skills --skill edict-multi-agent-orchestration -a gemini-cli2Platform CLI
gemini skills install https://github.com/reason-machines/trending-skills --path skills/edict-multi-agent-orchestrationManually: put the files in place
.devin/skills/edict-multi-agent-orchestration/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add reason-machines/trending-skills --skill edict-multi-agent-orchestration -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about edict-multi-agent-orchestration
How to install edict-multi-agent-orchestration in Claude Code?
Run npx skills add reason-machines/trending-skills --skill edict-multi-agent-orchestration -a claude-code.
What role does menxia play in the pipeline?
The menxia agent operates as a strict quality gate. It reviews task plans and can veto them, routing work back to zhongshu for adjustments before any ministry executes it.
What are the prerequisites for running Edict?
You need a running OpenClaw instance, Python 3.9+, Node.js 18+, and macOS or Linux. A demo container cft0808/sansheng-demo is also available on port 7891 via Docker.