docs-search

To search documentation for function signatures, you can use proactive documentation search to automatically look up API details and class definitions before implementing any instruction. This ensures adherence to documented patterns and reduces duplicated code.

The best way to prevent runtime errors is performing a proactive documentation search to retrieve existing API details and code comments before coding. This ensures the AI understands codebase structure and uses established patterns correctly.

Semantic code search works by indexing project documentation and allowing both semantic and keyword searches to retrieve class definitions and code comments. It supports document type filtering to narrow down specific codebase structures.

Yes, you can filter documentation search results by specific document types. The proactive search supports document type filtering alongside semantic and keyword searches to accurately locate function signatures and API details.

The AI searches docs before implementing a user authentication service to find existing authentication patterns and user service signatures. This ensures it uses correct methods, adheres to established patterns, and reduces the likelihood of runtime errors.

You need auto-generated project documentation available for the skill to index. The proactive search automatically indexes this documentation to retrieve class definitions, function signatures, and API details before executing user instructions.