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Found 3 Skills
Structured session analysis and project instruction refinement using a five-type intervention taxonomy (Correction, Repetition, Role Redirect, Frustration Escalation, Workaround) with severity scoring to categorize process gaps. Refines project instructions (CLAUDE.md, AGENTS.md, .team/coordinator-instructions.md) with structural (not advisory) language, maintains WORKING_STATE.md for crash recovery (read-first-after-any- interruption protocol), and implements a self-reminder protocol (re-read constraints every 5-10 messages to prevent role drift). Includes advisory- to-structural promotion pattern for recurring gaps. Activate after milestones, repeated user corrections, session restarts, crash recovery, every 5 completed tasks, or on user request. Triggers on: "reflect on this session", "why do I keep correcting you", "update project instructions", "update working state", "session retrospective", "crash recovery", "context compaction", "role drift", "I keep telling you the same thing", "analyze my corrections". Also relevant when the agent notices repeated corrections, needs to resume after compaction, or wants to prevent known failure modes from recurring.
This skill should be used when a developer wants to capture learnings from a difficult session, record what Claude got wrong, save implementation gotchas, or update the steering docs with hard-won knowledge — for example "let's reflect", "capture what we learned", "that was painful, save this", "update the steering docs with what went wrong", "I need to debrief", "what went wrong today", "log this lesson", "save this gotcha", "document this mistake", "I want to write this down before I forget", "add this to the steering docs", or when prompted by the intervention tracker after multiple corrections. Routes each learning into the right steering doc (TECH, QA, DESIGN, or VISION) under a "Hard-Won Lessons" section.
Analyze development sessions, capture learnings, and improve Claude Code instructions. Use when the user wants to reflect on a session, improve CLAUDE.md, extract learnings, or optimize AI-human collaboration. Supports two modes: quick (default) focuses on CLAUDE.md improvements, deep mode performs comprehensive session analysis with learning capture.