What problem does it solve? Development sessions generate valuable insights—domain knowledge, technical lessons, automation opportunities—that are usually lost when the session ends. This Skill structures the end-of-session retrospective so learnings are captured, reviewed, and stored in the right places instead of being forgotten. ## Core Features & Use Cases - Eight-Perspective Scan: Detects domain knowledge, technical learnings, automation opportunities, stale knowledge, CLAUDE.md gaps, estimate accuracy, RDRA artifact freshness, and design debt. - User-Approved Routing: Presents a structured report and saves only the items the user approves to destinations like ~/.claude/rules/, project CLAUDE.md, docs/rdra/overview.md, or GitHub Issues. - Automation Proposals: Classifies repeated patterns into hooks, skills, or rules with confidence scores and implementation drafts. - Use Case: After finishing a feature implementation, run the retrospective to discover that a recurring manual check should become a hook, a TypeScript error-resolution pattern belongs in ~/.claude/rules/typescript.md, and a design compromise should become a refactoring GitHub Issue. ## Quick Start Ask the AI to run the session retrospective and summarize this session's learnings across the eight perspectives for your approval.