What problem does it solve? AI coding assistants produce inconsistent output when a repository has no written conventions, forcing engineers to fix style, structure, and workflow mismatches by hand after every session. ## Core Features & Use Cases - Codebase Convention Extraction: Reads the actual code to derive per-area rule files covering error handling, test structure, naming, and module boundaries, adapted to the detected stack. - Config Seam Wiring: Creates or corrects config_hints.json and AGENTS.md with verified build, test, and coverage commands plus the declared tracker and standards location. - Readiness Scorecard: Measures identity, single source of truth, extracted rules, workflow governance, and feedback loop, then reports what is present, added, or still missing. - Use Case: When adopting a new repository, run this Skill to generate docs/ai-rules/ rule files from real code patterns and receive a scorecard showing exactly what remains for a human decision. ## Quick Start Ask the assistant to make this repo agent-ready and extract the coding rules for this project.
