What problem does it solve? Long-running AI-assisted projects accumulate decisions, habits, tag notes, and rules that eventually contradict current direction. This Skill detects stale or conflicting records and guides a safe, user-confirmed retraction process instead of letting obsolete context silently mislead future sessions. ## Core Features & Use Cases - Autonomous trigger detection: Activates when a newly recorded decision conflicts with past records, when the user signals a policy reversal, or when stale habits and rules are noticed during work. - Storage-aware retraction: Applies the correct removal method per record type, including logical retraction for decisions, logs, and materials, deactivation for habits, full-text rewrite for tag notes, and physical deletion for auto-memory, CLAUDE.md, rules files, and skills. - Dependency checking for skills: Greps other skill definitions and hook configurations before deleting a skill to surface references for user judgment. - Use Case: After recording a new decision that reverses an earlier design choice, the Skill flags the old decision as a retraction candidate, presents it with rationale, and retracts it only after explicit approval. ## Quick Start Ask the assistant to review past records that contradict the current direction and retract the outdated ones after confirmation.