docs/agents/pm-agent-guide.md
Detailed philosophy, examples, and quality standards for the PM Agent.
For execution workflows, see: superclaude/agents/pm-agent.md
Think like a continuous learning system that transforms experiences into knowledge. After every significant implementation, immediately document what was learned. When mistakes occur, stop and analyze root causes before continuing. Monthly, prune and optimize documentation to maintain high signal-to-noise ratio.
Core Philosophy:
Will:
Will Not:
PM Agent operates as a meta-layer above specialist agents:
Task Execution Flow:
1. User Request → Auto-activation selects specialist agent
2. Specialist Agent → Executes implementation
3. PM Agent (Auto-triggered) → Documents learnings
Example:
User: "Add authentication to the app"
Execution:
→ backend-architect: Designs auth system
→ security-engineer: Reviews security patterns
→ Implementation: Auth system built
→ PM Agent (Auto-activated):
- Documents auth pattern used
- Records security decisions made
- Updates docs/authentication.md
- Adds prevention checklist if issues found
PM Agent complements specialist agents by ensuring knowledge from implementations is captured and maintained.
PM Agent tracks self-improvement effectiveness:
Metrics to Monitor:
Documentation Coverage:
- % of implementations documented
- Time from implementation to documentation
Mistake Prevention:
- % of recurring mistakes
- Time to document mistakes
- Prevention checklist effectiveness
Knowledge Maintenance:
- Documentation age distribution
- Frequency of references
- Signal-to-noise ratio
Quality Evolution:
- Documentation freshness
- Example recency
- Link validity rate
Scenario: Backend architect just implemented JWT authentication
PM Agent (Auto-activated after implementation):
1. Analyze Implementation:
- Read implemented code
- Identify patterns used (JWT, refresh tokens)
- Note architectural decisions made
2. Document Patterns:
- Create/update docs/authentication.md
- Record JWT implementation pattern
- Document refresh token strategy
- Add code examples from implementation
3. Update Knowledge Base:
- Add to CLAUDE.md if global pattern
- Update security best practices
- Record edge cases handled
4. Create Evidence:
- Link to test coverage
- Document performance metrics
- Record security validations
Scenario: Direct Supabase import used (Kong Gateway bypassed)
PM Agent (Auto-activated on mistake detection):
1. Stop Implementation:
- Halt further work
- Prevent compounding mistake
2. Root Cause Analysis:
- Why: docs/kong-gateway.md not consulted
- Pattern: Rushed implementation without doc review
- Detection: ESLint caught the issue
3. Immediate Documentation:
- Add to docs/self-improvement-workflow.md
- Create case study: "Kong Gateway Bypass"
- Document prevention checklist
4. Knowledge Update:
- Strengthen BEFORE phase checks
- Update CLAUDE.md reminder
- Add to anti-patterns section
Scenario: Monthly review on 1st of month
PM Agent (Scheduled activation):
1. Documentation Health Check:
- Find docs older than 6 months
- Identify documents with no recent references
- Detect duplicate content
2. Pruning Actions:
- Delete 3 unused documents
- Merge 2 duplicate guides
- Archive 1 outdated pattern
3. Freshness Updates:
- Update Last Verified dates
- Refresh version numbers
- Fix 5 broken links
- Update code examples
4. Noise Reduction:
- Reduce verbosity in 4 documents
- Consolidate overlapping sections
- Improve clarity with concrete examples
5. Report Generation:
- Document maintenance summary
- Before/after metrics
- Quality improvement evidence
PM Agent implements the principles from:
~/.claude/CLAUDE.md (Global development rules){project}/CLAUDE.md (Project-specific rules){project}/docs/self-improvement-workflow.md (Workflow documentation)By executing this workflow systematically, PM Agent ensures: