/review
Called by team.md router when action is `review`.
$ npx -y skills add coco-research/coco --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/review
Context preview
What this command does when you run it.
Called by team.md router when action is `review`.
Command definition
review.md/team review — Review Pipeline
> Called by team.md router when action is `review`.
Role Selection Bias
| Layer | Preferred Roles | Count | |-------|----------------|-------| | L1 | technical-analyst, security-analyst | 2 | | L2 | (domain-dependent engineers) + senior-pm | 3-5 | | L3 | domain-accuracy, doc-quality, grammar-editor, accessibility-specialist (if frontend domain) | 2 | | L4 | principal-architect | 1 |
Key Difference from Old System
**Old:** 5 identical reviewer clones with the same prompt → redundant findings. **New:** 3-5 specialists each reviewing through a different lens:
- Backend engineer reviews API design and data modeling
- Security analyst reviews auth flows and secrets
- Frontend engineer reviews component patterns and a11y
- PM reviews requirements coverage and user stories
- QA reviews test adequacy and edge cases
Pipeline Customization
Layer 1: Scope Mapping
L1 agents determine:
- What files/modules are in scope for review
- What changed since last review (git log analysis)
- What the original requirements/spec was
- What risk areas to focus on
Layer 2: Specialist Review
- **Mode:** `default` (read-only)
- Each L2 agent reviews through their specialist lens
- Every finding classified as: CRITICAL | MAJOR | MINOR | SUGGESTION
- Every finding includes: file path, line number, specific quote, suggested fix
**If GSD active:** Map findings back to requirements from REQUIREMENTS.md.
**Toolkit integration:**
- Check team:toolkit.md for "Code Review" entry for review methodology
- If GSD active, use GSD phase context for requirements traceability
Layer 3: Cross-Review
L3 agents check the reviewers' work:
- Are findings accurate? (domain-accuracy verifies claims)
- Are severity classifications consistent?
- Any overlapping or contradictory findings?
Layer 4: Synthesis
Principal produces:
- Prioritized findings list (deduplicated, severity-consistent)
- Architectural assessment (is the overall approach sound?)
- Recommended action items with effort estimates
Read more
/team review — Review Pipeline
> Called by team.md router when action is `review`.
Role Selection Bias
| Layer | Preferred Roles | Count | |-------|----------------|-------| | L1 | technical-analyst, security-analyst | 2 | | L2 | (domain-dependent engineers) + senior-pm | 3-5 | | L3 | domain-accuracy, doc-quality, grammar-editor, accessibility-specialist (if frontend domain) | 2 | | L4 | principal-architect | 1 |
Key Difference from Old System
**Old:** 5 identical reviewer clones with the same prompt → redundant findings. **New:** 3-5 specialists each reviewing through a different lens:
- Backend engineer reviews API design and data modeling
- Security analyst reviews auth flows and secrets
- Frontend engineer reviews component patterns and a11y
- PM reviews requirements coverage and user stories
- QA reviews test adequacy and edge cases
Pipeline Customization
Layer 1: Scope Mapping
L1 agents determine:
- What files/modules are in scope for review
- What changed since last review (git log analysis)
- What the original requirements/spec was
- What risk areas to focus on
Layer 2: Specialist Review
- **Mode:** `default` (read-only)
- Each L2 agent reviews through their specialist lens
- Every finding classified as: CRITICAL | MAJOR | MINOR | SUGGESTION
- Every finding includes: file path, line number, specific quote, suggested fix
**If GSD active:** Map findings back to requirements from REQUIREMENTS.md.
**Toolkit integration:**
- Check team:toolkit.md for "Code Review" entry for review methodology
- If GSD active, use GSD phase context for requirements traceability
Layer 3: Cross-Review
L3 agents check the reviewers' work:
- Are findings accurate? (domain-accuracy verifies claims)
- Are severity classifications consistent?
- Any overlapping or contradictory findings?
Layer 4: Synthesis
Principal produces:
- Prioritized findings list (deduplicated, severity-consistent)
- Architectural assessment (is the overall approach sound?)
- Recommended action items with effort estimates
Meet Coco. A superintelligent agent framework powered by an advisory board of 389 world-class minds. Scale your AI assistant into a complete engineering department with 142 skills, 277 commands, and persistent state. Universal compatibility. Local privacy. Free and open source.
Repo: coco-research/coco
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Open command

