skill-pilot-freeze-core-feature

Feature documentation requires creating markdown files in the core/features/ directory using specific naming conventions. This structure ensures optimal LLM retrieval and makes features easily discoverable by AI agents.

To freeze code references, generate markdown files that link feature summaries to relevant code snippets and file paths. This captures the feature essence for AI understanding while providing developers quick access to the source code.

Yes, generating feature documentation requires specific naming conventions and content structure within the core/features/ directory. This ensures the markdown files are formatted optimally for LLM retrieval.

Yes, you can update existing feature markdown files in the core/features/ directory based on project inspection. This modifies the current documentation to reflect the latest feature changes for AI agents.

You need to create feature documentation files when developing new functionalities like a user authentication flow. This summarizes user-facing aspects and points to relevant backend and frontend code for AI-assisted development.