skills:scan

To bootstrap AI agent skills for a new repository, scan the project to identify technology markers and automatically generate core skills. This ensures foundational skill coverage is set up instantly for your specific tech stack.

You audit existing skills by scanning the repository to validate current configurations and perform gap analysis against your tech stack. This identifies missing coverage and assesses content quality for your project's features.

A repository skills gap analysis evaluates your existing AI agent skills against the current tech stack to find missing coverage. It enforces consistency by identifying unmanaged technology markers and areas lacking skill documentation.

Yes, you can periodically run a repository skills scan to update configurations and ensure new features are covered. It validates existing skills and highlights gaps introduced by recent tech stack changes.

You need to scan a repository for skills when initializing a new project lacking a skills directory or when auditing an existing one. It enforces skill consistency and coverage across your tech stack.

Repository AI agent skills become inconsistent when new features are added without updating skill documentation. Scanning the repo performs gap analysis against your tech stack to identify and resolve these coverage gaps.