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name: reflecting description: Analyzes conversation to extract learnings and integrate into skill library or rules. Consolidates experiences into reusable knowledge. Use when completing significant work, resolving complex problems, or discovering reusable patterns.

Reflecting on Learnings

Analyze the current conversation to extract learnings and integrate them appropriately.

Process

1. Analyze Conversation

Review conversation history to identify:

• Successes: Patterns that led to good outcomes
• Failures: Errors or multiple attempts needed
• New Knowledge: Project-specific insights discovered
• Repeated Patterns: Actions performed multiple times

2. Classify Learnings

Use the agent-architect skill to classify each learning:

Is it an IMMUTABLE LAW (must enforce every response)?
├─ Yes → <law> block in CLAUDE.md
└─ No → Is it a CAPABILITY (how to do)?
    ├─ Yes → Skill
    │   └─ Is it SHARED across multiple skills?
    │       ├─ Yes → Extract to Rule (.claude/rules/)
    │       └─ No → Keep in Skill
    └─ No → Documentation only

3. Extract Knowledge

For each significant learning:

Learning:
  context: [When this applies]
  insight: [What was learned]
  classification: [rule | skill | documentation]
  action: [create_new | enhance_existing | document_only]

4. Integrate

Classification	Action
Immutable Law	Add to <law> block in CLAUDE.md
Skill	Use writing-skills skill
Shared Rule	Use writing-rules skill
Documentation	Add to appropriate references/

5. Review Existing Components

ls .claude/rules/ 2>/dev/null
find . -name "SKILL.md" -type f

Determine if learnings enhance existing components or warrant new ones.

Output Format

## Session Learnings

### Rules Created/Updated
- [rule-file]: [constraint added]

### Skills Created/Updated
- [skill-name]: [capability added]

### Recommendations
- [Follow-up actions]