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From semantic-search
Searches indexed local document folders using natural language queries on Markdown/text files. Activates for file content questions, 'find document about...', or indexing requests.
How this skill is triggered — by the user, by Claude, or both
Slash command
/semantic-search:semantic-searchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Search across locally indexed document folders using natural language queries.
Search across locally indexed document folders using natural language queries. Supports Markdown and text files (PDF, Word, PowerPoint coming in Phase 2).
Search automatically when the user:
Index first when the user:
index_folder with the folder pathsemantic_search with the user's querynpx claudepluginhub zhubit/cowork-semantic-searchPerforms local keyword, semantic, or hybrid search on markdown notes and docs to find relevant files before reading them, saving 90% tokens during codebase exploration.
Retrieves small relevant snippets from Markdown docs via local BM25/grep search. Use for answering questions from project docs or finding headings across files when paths are unknown. Prefer over reading whole files or raw grep.
Google File Search API patterns for managed RAG with Gemini. Covers both TypeScript (@google/genai) and Python (google-genai) SDKs. Use when building File Search integrations, implementing RAG with Google AI, or when user mentions Google File Search, Gemini RAG, document indexing, or semantic search.