skill-governance

Managing AI skills and project rules involves governing the creation, optimization, and cleanup of skill definitions within the `.agents/skills` directory to ensure alignment with evolving project documentation and strategy.

Registering a new AI skill requires defining its trigger conditions, establishing documentation references, and ensuring proper indexing in project rule files like `AGENTS.md` to maintain rule layering and alignment.

Skill governance handles repetitive actions by identifying suitable workflows for skill沉淀, transforming manual AI collaboration patterns into structured, indexed skill definitions with clear triggers.

Yes, you can use skill governance to optimize existing AI collaboration rules by ensuring trigger descriptions, reference documentation, and layered rule structures remain consistent with current project facts.

Yes, aligning AI skills requires referencing existing project documentation like `AGENTS.md` and `docs/dev/runtime-foundation.md` to properly establish layered rule structures and ensure project alignment.

You should avoid automated skill governance when your project lacks foundational documentation like `AGENTS.md` or a stable `.agents/skills` directory structure, as proper rule layering depends on these existing references.