What problem does it solve? Understanding an unfamiliar codebase requires manually reading every directory, which is slow and error-prone. This Skill automates repository mapping by tracking file hashes, detecting changes, and scaffolding per-folder codemap documentation that agents and humans can read before working on code. ## Core Features & Use Cases - Repository Initialization: Scans a repo with include/exclude glob patterns, respects .gitignore, and creates .slim/codemap.json state plus empty codemap.md templates in every relevant folder. - Incremental Change Detection: Compares current file and folder hashes against saved state to report added, removed, and modified files, so only affected codemaps get updated. - Legacy Migration: Automatically migrates .slim/cartography.json state to the new .slim/codemap.json format. - Use Case: When starting work on a new repository, run the codemap workflow to produce a root Repository Atlas and per-directory maps, then register them in AGENTS.md so every agent session automatically loads the architecture context. ## Quick Start Ask the AI to generate a codemap for this repository so it can document the architecture and track future changes.