sch-search

Semantic search finds relevant StudyClawHub skills by evaluating user intent, descriptions, and tags. It reads skill metadata from skills-index.json and returns a ranked list of matching skills with names, authors, and versions.

Semantic skill discovery ranks results by analyzing query intent against skill descriptions and tags, while evaluating popularity signals like stars and installs from skills-index.json to surface high-quality matches.

Yes, you can look up skills by specific authors in StudyClawHub. The semantic search evaluates metadata across all registered skills, supporting author lookups alongside topic-based exploration and tag-driven filtering.

The best way to explore the StudyClawHub catalog is semantic search. Ask for skills related to your topic, and the system evaluates metadata and popularity signals to return a ranked list of relevant entries.

Skill discovery works for both broad catalog explorations and specific queries. It applies semantic understanding of user intent to rank skills across topic searches, tag filters, author lookups, and general browsing.

When ranking skills for a user query, the system returns metadata including skill names, descriptions, authors, versions, and repositories. This data is read directly from the skills-index.json file.