continuous-learning

name	continuous-learning
description	Auto-extract reusable patterns from coding sessions. Activates on session end or when /learn command is invoked. Identifies successful patterns, debugging solutions, and architectural decisions worth preserving for future sessions.

Continuous Learning Skill

Extract and preserve valuable patterns from development sessions.

When to Use

• Session ending with significant work completed
• User invokes /learn command mid-session
• After successful debugging of complex issues
• When discovering new architectural patterns

Pattern Categories

Type	Description
code	Reusable code patterns
debugging	Debug approaches
architecture	Design decisions
workflow	Process improvements

Extraction Workflow

1. Session Analysis - Evaluate for extractable patterns
2. Pattern Identification - Filter reusable, non-trivial solutions
3. User Confirmation - Present for approval
4. Storage - Save to .ai_state/experience/learned/
5. Index Update - Add to experience index

Quality Criteria

Patterns worth extracting must:

• ✅ Be reusable across projects
• ✅ Save significant time/effort
• ✅ Document non-obvious solutions
• ❌ NOT be trivial or well-documented
• ❌ NOT be too project-specific