skill-doc-index

Create a searchable documentation index by extracting titles, descriptions, keywords, and use cases from all skills. The index applies full-text search, keyword matching, and relevance ranking across five tracks to support fast discovery and navigation.

Yes, full-text search and keyword matching operate across five tracks. The index ranks results by relevance and returns structured outputs with timing stats, using exposed parameters like action, query, and limit to refine searches.

Discover relevant skills by querying a centralized catalog built with semantic search and keyword frequency analytics. Track distribution insights help you navigate directly to individual skill details and specific use cases.

Relevance ranking works by scoring full-text search and keyword matching results across the indexed knowledge base. The system processes queries with configurable limits and returns structured results alongside timing statistics.

The index builds from existing skill metadata including titles, descriptions, keywords, and use cases. Discovery quality depends on the completeness of this source documentation, and search scope is bound to the five defined tracks.

No external dependencies are required to set up skill discovery and indexing. The self-contained scripts component builds the catalog and handles search queries independently without additional environment setups.