ai-context-writer

To document code modules for AI assistant discovery, generate standardized `ai-context.md` files with specific YAML frontmatter and Markdown structure, detailing the package architecture, usage, and decisions for context extraction.

An `ai-context.md` file is used to document code modules so that AI assistants can discover and understand them, ensuring the modules are properly indexed by the context crawler for commands like `/modules` and `/module-search`.

You generate standardized documentation for new packages by creating an `ai-context.md` file that outlines the module's purpose, architecture, and usage patterns, adhering to a specific Markdown structure for AI discoverability.

Yes, module documentation requires adherence to a specific YAML frontmatter and Markdown structure to ensure the files are discoverable and properly indexed by the context crawler for AI extraction.

The best way to make your codebase understandable to AI tools is to maintain `ai-context.md` files for your packages, applications, and external references, providing consistent structural context for AI indexing.

You need to update your AI context files whenever you add a new package or modify existing module architecture, ensuring the `ai-context.md` documentation accurately reflects the current usage patterns and decisions for AI discovery.