What problem does it solve?
Hard-won knowledge from a coding session—errors fixed, gotchas discovered, workflow friction resolved—is usually lost when the session ends, forcing future agent sessions to repeat the same mistakes.
Core Features & Use Cases
- Session Analysis: Reviews the conversation history for errors, snags, workflow friction, and undocumented architecture insights.
- Targeted Documentation Updates: Places each learning into the most relevant rules/*.md topic file, creates new rule files when warranted, and updates the rules index in AGENTS.md.
- Maintenance and Deduplication: Consolidates overlapping entries, removes obsolete learnings, and limits additions to five high-impact items per session.
- Use Case: After a long debugging session involving E2E test failures and IPC quirks, run this Skill to record the fixes in rules/e2e-testing.md and rules/electron-ipc.md so the next session avoids the same pitfalls.
Quick Start
Review this session for errors and hard-won knowledge, then update the rules files or AGENTS.md with concise actionable learnings and stage the changes.