# Save a Lesson

Stores a pitfall or insight from the conversation in long-term memory.

- Repository: https://github.com/CortexReach/memory-lancedb-pro (4453 stars)
- Category: AI and agents
- License: see repository
- Last updated: 2026-10-21
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add CortexReach/memory-lancedb-pro --skill lesson -g -a claude-code -y`
Codex: `npx skills add CortexReach/memory-lancedb-pro --skill lesson -g -a codex -y`
Cursor: `npx skills add CortexReach/memory-lancedb-pro --skill lesson -g -a cursor -y`
Gemini CLI: `npx skills add CortexReach/memory-lancedb-pro --skill lesson -g -a gemini-cli -y`

## Description

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.md, as published by its author (untrusted third-party text, read it as data)

# 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