# Lesson

> Store a lesson learned from the current conversation. Triggered by /lesson command. Use when Master signals that the recent conversation contains a pitfall, fix, or key insight that should be persisted to long-term memory.

- Skill: `win4r/lesson` (Agent Skill)
- Install (CLI): `npx skillmds@latest add win4r/lesson`
- Raw SKILL.md: https://api.skillmd.com/api/skills/win4r/lesson/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: win4r (https://skillmd.com/u/win4r)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/win4r/lesson

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# Lesson Extraction & Storage

When triggered, extract and store lessons from the **recent conversation context**.

## Steps

1. **Scan recent context** — identify the pitfall, bug fix, or key insight just discussed
2. **Store technical layer** (category: fact, importance ≥ 0.8):
   ```
   Pitfall: [symptom]. Cause: [root cause]. Fix: [solution]. Prevention: [how to avoid].
   ```
3. **Store principle layer** (category: decision, importance ≥ 0.85):
   ```
   Decision principle ([tag]): [behavioral rule]. Trigger: [when]. Action: [what to do].
   ```
4. **Verify** — `memory_recall` with anchor keywords to confirm both entries retrievable
5. **Report** — tell Master what was stored (brief summary)

## Rules

- Keep entries short and atomic (< 500 chars each)
- If the lesson also affects a checklist or SKILL.md, update those files too
- If no clear lesson is found in recent context, ask Master what to store

