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PythonReactSEOPDF
GitHub Skill

auto-learner

Use this skill to learn from mistakes. Activate when Claude makes tool call errors, incorrect assumptions, oversights, or when the user corrects Claude. Maintains auto-learning.md as a knowledge base of lessons learned.

vibelang-org☆ 0 Étoiles du dépôt0 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Auto-Learner Skill

Learn from mistakes by maintaining a persistent knowledge base of lessons learned.

When to Add a Learning

Add a note to auto-learning.md when:

  • A tool call fails due to incorrect parameters or wrong assumptions
  • You make an incorrect assumption about the codebase
  • The user corrects you on something
  • You discover a pattern that would have prevented an earlier mistake
  • A retry was needed because of an oversight
  • You realize you should have done something differently

The auto-learning.md File

Located at project root. Create it if it doesn't exist.

File Format
# Auto-Learning Notes

Lessons learned from past mistakes. Priority scores (1-10) reflect importance.

---

## [P8] Short descriptive title
**Context:** Brief context of when this happened
**Mistake:** What went wrong
**Learning:** What to do instead
**Tags:** #tool-call #assumption #oversight (pick relevant tags)

---

## [P5] Another learning title
...
Priority Scoring (1-10)
  • 9-10: Critical - caused significant issues, applies frequently
  • 7-8: Important - common mistake, high value to remember
  • 5-6: Moderate - useful but less frequent
  • 3-4: Minor - edge case or rare situation
  • 1-2: Low - might be project-specific or outdated
Updating Priorities

When you encounter a situation where a past learning was valuable:

  1. Read the existing note
  2. Increment its priority by 1 (max 10)
  3. Update the note if you have additional insight

When a learning proves irrelevant over time:

  1. Decrement priority by 1
  2. If it drops below 2, consider removing it

Adding a New Learning

  1. Read auto-learning.md (create if missing)
  2. Add new note at the TOP (after the header)
  3. Start with priority [P5] unless clearly more/less important
  4. Keep notes compact - 2-4 lines max per section
  5. Use specific, actionable language
Example Entry
## [P7] Always read files before editing
**Context:** Tried to edit a file without reading it first
**Mistake:** Edit tool failed because I hadn't read the file in this session
**Learning:** Always use Read tool before Edit tool on any file, even if it seems obvious
**Tags:** #tool-call #edit

Size Management

Check file size periodically (every 3-5 learnings added):

  1. If more than 25 entries, prune the lowest priority ones
  2. Remove entries with P1-P2 that haven't been referenced recently
  3. Consider merging similar learnings into one higher-priority note
  4. Target: Keep 15-20 high-value learnings

When Starting a Session

When working on this project, briefly review auto-learning.md to refresh on past lessons. Pay attention to P7+ entries.

Important

  • Be honest about mistakes - this is for self-improvement
  • Keep learnings actionable and specific
  • Don't add learnings for one-off user preferences (those go in CLAUDE.md)
  • Focus on patterns that will recur

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-01-26
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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