What problem does it solve?
This Skill helps AI agents and developers continuously improve by systematically capturing learnings, errors, and user corrections, preventing recurring mistakes and enhancing future performance.
Core Features & Use Cases
- Error Logging: Records command failures, exceptions, and unexpected behaviors.
- Learning Capture: Logs corrections, insights, and knowledge gaps from interactions.
- Feature Request Tracking: Documents user-requested capabilities.
- Promotion: Facilitates promoting valuable learnings to project memory (e.g.,
CLAUDE.md, AGENTS.md) or extracting them as new skills.
- Use Case: After a complex debugging session where an obscure error was resolved, log the error, its cause, and the fix to
.learnings/ERRORS.md. Later, if the pattern repeats, promote it to TOOLS.md or extract it as a new skill.
Quick Start
Log the recent command failure to the error log.