What problem does it solve?
Developers repeat the same mistakes across sessions because past corrections and lessons learned are scattered or forgotten. This Skill searches your stored learnings and session history before you start work, so prior mistakes and patterns inform the current task.
Core Features & Use Cases
- Keyword-Based Learning Search: Extracts keywords from your task description and greps learning files like LEARNED.md, learning-log.md, and CLAUDE.md for matching patterns.
- Relevance-Ranked Briefing: Surfaces top learnings ranked by relevance with original mistake context and application counts.
- Session History Analysis: Reviews past sessions for similar work and flags high correction-rate sessions requiring extra care.
- Use Case: Before starting an auth refactor, run a replay to recall that external APIs must be mocked in auth tests and that auth middleware lives in src/middleware/, avoiding repeated corrections.
Quick Start
Ask the assistant to replay what it knows about your upcoming task, for example: "What do I know about auth refactoring before I start?"