What problem does it solve?
This Skill provides a structured way to capture learnings, errors, and corrections, enabling continuous improvement of AI agent performance and knowledge.
Core Features & Use Cases
- Error Logging: Records command failures, exceptions, and unexpected behaviors.
- Learning Capture: Logs user corrections, knowledge gaps, and discovered best practices.
- Feature Request Tracking: Documents user-requested capabilities that are missing.
- Promotion: Facilitates promoting valuable learnings to permanent project memory (e.g.,
CLAUDE.md, AGENTS.md).
- Skill Extraction: Supports extracting recurring learnings into new, reusable skills.
- Use Case: When an agent makes a mistake, it logs the error and the correction. Over time, these logs are reviewed, and significant learnings are promoted to the agent's knowledge base, preventing future errors and improving its overall effectiveness.
Quick Start
Log a user correction by appending the details to .learnings/LEARNINGS.md using the specified format.