Agent skill
multi-ai
Start the multi-AI pipeline with a given request. Guides through plan -> review -> implement -> review workflow.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/unknown-majiayu000-claude-skill-registr-11
SKILL.md
Multi-AI Pipeline Orchestrator
You are starting the multi-AI pipeline. Follow this process exactly.
Reference Documents
First, read the standards that guide all reviews:
skill/multi-ai/reference/standards.md- Coding standards and review criteria
Step 1: Clean Up Previous Task
Remove old .task/ directory if it exists:
rm -rf .task
mkdir -p .task
Step 2: Capture User Request
Write the user's request to .task/user-request.txt.
Step 3: Create Initial Plan
Write .task/plan.json:
{
"id": "plan-YYYYMMDD-HHMMSS",
"title": "Short descriptive title",
"description": "What the user wants to achieve",
"requirements": ["req1", "req2"],
"created_at": "ISO8601",
"created_by": "claude"
}
Step 4: Refine Plan
Research the codebase and create .task/plan-refined.json:
{
"id": "plan-001",
"title": "Feature title",
"description": "What the user wants",
"requirements": ["req1", "req2"],
"technical_approach": "Detailed how-to",
"files_to_modify": ["path/to/file.ts"],
"files_to_create": ["path/to/new.ts"],
"dependencies": [],
"estimated_complexity": "low|medium|high",
"potential_challenges": ["Challenge and mitigation"],
"refined_by": "claude",
"refined_at": "ISO8601"
}
Step 5: Sequential Plan Reviews
Run reviews in sequence. Fix issues after each before continuing:
-
Invoke /review-sonnet
- Read
.task/review-sonnet.jsonresult - If
needs_changes: fix issues in plan, update.task/plan-refined.json
- Read
-
Invoke /review-codex
- Read
.task/review-codex.jsonresult - If
needs_changes: fix issues and restart from step 5.1 - If
approved: continue to implementation
- Read
Step 6: Implement
Invoke /implement-sonnet
This skill will:
- Read the approved plan from
.task/plan-refined.json - Implement the code
- Add tests
- Output to
.task/impl-result.json
Step 7: Sequential Code Reviews
Run reviews in sequence. Fix issues after each before continuing:
-
Invoke /review-sonnet
- Read
.task/review-sonnet.jsonresult - If
needs_changes: fix code issues
- Read
-
Invoke /review-codex
- Read
.task/review-codex.jsonresult - If
needs_changes: fix issues and restart from step 7.1 - If
approved: continue to completion
- Read
Step 8: Complete
Write .task/state.json:
{
"state": "complete",
"plan_id": "plan-001",
"completed_at": "ISO8601"
}
Report success to the user with:
- Summary of what was implemented
- Files changed
- Tests added
Important Rules
- Follow this process exactly - no shortcuts
- Fix ALL issues raised by reviewers before continuing
- If codex rejects, restart the review cycle from sonnet
- Keep the user informed of progress at each major step
State Files Reference
| File | Purpose |
|---|---|
.task/user-request.txt |
Original user request |
.task/plan.json |
Initial plan |
.task/plan-refined.json |
Refined plan with technical details |
.task/impl-result.json |
Implementation result |
.task/review-sonnet.json |
Sonnet review output |
.task/review-codex.json |
Codex review output |
.task/state.json |
Pipeline state |
Reference Directory
| Path | Purpose |
|---|---|
skill/multi-ai/reference/standards.md |
Review criteria and coding standards |
skill/multi-ai/reference/schemas/ |
JSON schemas for structured output |
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