What problem does it solve? Code changes frequently leave documentation stale, causing README files, architecture docs, and AI coding skills to drift out of sync with the actual implementation. This Skill enforces a documentation checklist after every feature, refactor, bugfix, or architectural change so docs never fall behind. ## Core Features & Use Cases - Post-Change Checklist: After any code change, systematically checks README.md sections, docs/ files, and Cursor skills for required updates. - Change-to-Doc Mapping: Provides a quick-reference table mapping change types (new API endpoint, new env var, new agent) to the exact README sections and doc files to update. - Skill Synchronization: Ensures Cursor skills like coding-skill and agent-skill reflect new code patterns so future AI-generated code stays correct. - Use Case: After adding a new LLM provider to your project, the Skill prompts you to update the Environment Variables table, the LLM section of README.md, and docs/development.md. ## Quick Start After finishing a code change, ask the AI to check and update all affected documentation using the change-docs checklist.