What problem does it solve?
This Skill helps you identify and formalize genuine learnings from past mistakes, corrections, or rework, preventing their recurrence. It cuts through the noise of normal iteration to pinpoint actual lessons that improve your future performance.
Core Features & Use Cases
- Mistake Identification: Clearly distinguishes between actual corrections/rework and routine development, focusing only on what went wrong.
- Pattern Extraction: Guides you to articulate the underlying patterns of error as clear, future-facing directives.
- Use Case: After a debugging session where you repeatedly made the same assumption about an API's response structure, use this skill to formalize the learning: "Always verify API parameters against documentation before implementation."
Quick Start
Apply the extract-learnings skill to analyze our last session, focusing on any corrections or rework I had to perform.