L

lesson

by @win4rv
4.1(20)

Records lessons learned from conversations, triggered by the `/lesson` command.

educational-contentlesson-planningknowledge-retentionlancedblearning-designGitHub
Installation
npx skills add win4r/memory-lancedb-pro --skill lesson
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Before / After Comparison

1
Before

Important dialogue insights or solutions are scattered across chat records, making them difficult to find, review, and easily forgotten.

After

By using the `/lesson` command, key lessons learned are structurally extracted and stored, facilitating long-term retention and future reference.

SKILL.md

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. Verifymemory_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

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Installs329
Rating4.1 / 5.0
Version
Updated2026年5月23日
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Compatible Platforms

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🔧Kimi CLI

Timeline

Created2026年3月17日
Last Updated2026年5月23日