skill-search-optimizer

Your skill may not appear in ClawdHub or MoltHub search due to weak keyword coverage, poor intent-matched wording, or insufficient description-first indexing for semantic ranking. Optimizing metadata with relevant synonyms and troubleshooting phrases improves visibility.

To optimize skill metadata for semantic search ranking, rewrite frontmatter descriptions to match user intent, include synonyms, and add related tool terms. Evaluate queries and compare against competitor skills to refine language for discoverability.

Semantic search indexes skill descriptions by evaluating vector-based search metrics across names, descriptions, and supporting content. Strong keyword coverage and description-first indexing ensure the skill matches relevant user queries.

Troubleshoot poor skill discoverability by testing target queries, comparing your metadata against competitor skills, and refining frontmatter language. Updating descriptions and keywords with intent-matched wording resolves low ranking issues.

Vector-based skill search requires description-first indexing and strong keyword coverage in frontmatter. Formatting metadata with intent-matched wording, synonyms, and related tool terms ensures the registry evaluates and ranks the skill accurately.