design-search

To search across design docs for architectural decisions, issue a full-text query to retrieve matching documents. The skill applies module, category, status, and section filters to surface precise rationale and notes from your documentation.

The best way to locate data flow notes across multiple design documents is using a centralized full-text search. It parses frontmatter to extract metadata for ranking and context, returning structured results with direct links to the source evidence.

Yes, you can filter design documentation by module, category, status, and section during a full-text search. This narrows results to help you locate precise evidence and cross-document references within their original context.

Frontmatter parsing improves design doc search results by extracting metadata for relevance ranking, context, and navigation. This allows the search to return structured results with links to sources rather than unstructured text matches.

Design documentation searches may return irrelevant topics if frontmatter metadata is missing or unstructured. Applying module, category, and status filters to your full-text search narrows results to specifically surface architectural decisions and patterns.