capture-learning

记录当前工作环节中的重要收获，为后续会议梳理洞察，并更新代理记忆。

SKILL.md

--- frontmatter

name: capture-learning
description: Capture significant learnings from the current work session. Structures insights for future sessions and updates agent memory.
argument-hint: [optional topic or context]
user-invocable: true

Reflect on the current session and capture learnings. Context: $ARGUMENTS

Process

1. Reflect

•What was the main problem being solved?
•What non-obvious insights emerged?
•What patterns are reusable in future work?
•What failed and why?

2. Structure the Learning

Format each learning as:

code

### [Date]: [Title]
- **Issue**: [The problem encountered]
- **Solution**: [What worked]
- **Pattern**: [The reusable principle extracted]
- **Files**: [Key file references, if applicable]
- **Freshness**: HOT (actively relevant) | WARM (occasionally relevant) | COLD (reference only)

3. Store

Write the learning to the appropriate location:

•Agent-specific patterns: Update the relevant agent's project memory
•Project-wide rules: Add to .claude/rules/ as a new file or append to an existing one
•Debugging insights: Add to auto-memory MEMORY.md

4. Calibrate

Check existing learnings for staleness:

•Are any HOT items now WARM or COLD?
•Are any previous learnings contradicted by what we learned today?
•Remove or update anything that's no longer accurate.