skill-learning-patterns

What problem does it solve?

This meta-skill helps AI agents (and humans) systematically identify valuable learnings, validate their effectiveness, and contribute improvements back to a shared knowledge base. It prevents repetitive problem-solving and ensures collective intelligence grows.

Core Features & Use Cases

• Learning Recognition: Guides agents to notice patterns, time investments, repetitions, and corrections during tasks.
• Validation Framework: Provides a checklist to ensure learnings are generalizable, tested, and address real gaps, not just personal preferences.
• Contribution Workflow: Outlines how to update existing skills or create new ones via pull requests, ensuring quality and proper documentation.
• Use Case: If an agent repeatedly debugs an API rate-limiting issue, this Skill guides it to document the exponential backoff pattern as a new, reusable skill for all.

Quick Start

I've found a better way to handle concurrent memory writes that prevents data loss. Use the skill-learning-patterns to guide me on how to contribute this improvement.