<< All versions
Skill v1.0.1
currentAutomated scan100/100majiayu000/claude-skill-registry/multi-ai-cskwork-llm-review-2
3 files
──Details
PublishedMay 22, 2026 at 10:42 AM
Content Hashsha256:212df65b929d0675...
Git SHA135fee19372f
Bump Typepatch
──Files
Files (1 file, 3.6 KB)
SKILL.md3.6 KBactive
SKILL.md · 146 lines · 3.6 KB
version: "1.0.1" name: multi-ai description: Start the multi-AI pipeline with a given request. Guides through plan -> review -> implement -> review workflow. allowed-tools: Read, Write, Edit, Bash, Glob, Grep
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:
bash
rm -rf .taskmkdir -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:
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:
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
- Invoke /review-codex
- Read
.task/review-codex.jsonresult - If
needs_changes: fix issues and restart from step 5.1 - If
approved: continue to implementation
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
- Invoke /review-codex
- Read
.task/review-codex.jsonresult - If
needs_changes: fix issues and restart from step 7.1 - If
approved: continue to completion
Step 8: Complete
Write .task/state.json:
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 |