What problem does it solve? Evaluating external GitHub repositories for architectural patterns requires repetitive manual cloning, file counting, and context-file hunting. This Skill automates that structural survey so every watched library gets the same consistent, comparable analysis. ## Core Features & Use Cases - Five-Dimension Structural Analysis: Extracts structural inventory, context file maps, workflow topology, governance models, and cross-agent protocols from any cloned repo. - Version-Aware Re-Analysis: Compares the analyzed version against the watched-library registry and skips repos that are already up to date unless forced. - Standardized Output Docs: Writes analysis documents with a fixed frontmatter schema and section template to a central analysis directory, plus an index. - Use Case: After adding a new AI agent framework to your watched-libraries registry, run the analysis to map its CLAUDE.md files, agent definitions, and workflow phases, then compare it against previously analyzed repos. ## Quick Start Ask the assistant to run the repo-analyzer on a specific watched library by name, or on all registered libraries, optionally restricting it to specific dimensions.
