Learning Capture
Overview
This skill enables continual learning by recognizing valuable patterns during work and capturing them as new skills. It focuses on high-ROI captures: patterns that will save significant context window tokens through frequent reuse.
Recognition Framework
Monitor for these five types of learning moments:
1. Novel Problem-Solving Approaches
Trigger: Develop a creative, non-obvious solution to a complex problem that could apply to similar future problems.
Strong signals:
- Solution required multi-step reasoning or novel tool combinations
- Approach is generalizable beyond this specific instance
- User expresses satisfaction with the results
- Similar problem type likely to recur
2. Repeated Patterns
Trigger: User requests similar tasks 2-3 times and a consistent approach emerges.
Strong signals:
- Pattern has repeated 2+ times with consistent structure
- User asks "can you do the same thing as before?"
- Task type is clearly ongoing (e.g., weekly reports, monthly communications)
- Each instance requires re-explaining the approach
3. Domain-Specific Knowledge
Trigger: User explains company processes, terminology, schemas, or standards that span multiple conversations.
Strong signals:
- Information accumulates across 2+ conversations
- Knowledge is stable (won't change weekly)
- User frequently asks questions in this domain
- Re-explaining costs 1000+ tokens each time
4. Effective Reasoning Patterns
Trigger: Discover a particular way of structuring thinking that consistently produces better results.
Strong signals:
- Pattern applies to a category of problems, not just one instance
- Results are notably better than simpler approaches
- Structure is teachable and reproducible
- Problem category recurs frequently
5. Workflow Optimizations
Trigger: Figure out an efficient way to chain tools or steps together that produces comprehensive results.
Strong signals:
