Search and summarize structured wiki content from local markdown files.
npx skills add https://github.com/ittooitt/KnowledgeBase_vault --skill query-ittooitt
Please help me install this Agent Skill. Skill: query Source: https://github.com/ittooitt/KnowledgeBase_vault/tree/main/.claude/skills/query Command: npx skills add https://github.com/ittooitt/KnowledgeBase_vault --skill query-ittooitt
This Skill enables precise, deep search and retrieval of relevant content from a local wiki knowledge base, helping users quickly access specific information without manual browsing.
Ask your question in natural language or use /query followed by your specific inquiry to get fast, contextually relevant results.
High-intent search queries and answers about installing and using this skill.
To search a local markdown wiki, input a natural language question to retrieve and synthesize structured content. The system analyzes index, concepts, and entity files to produce accurate, referenced answers without manual browsing.
Getting referenced answers from a knowledge base involves deep search and targeted retrieval of structured wiki pages. The system reads local markdown files and compiles comprehensive responses with proper citations to your queries.
Question-answering over wiki content works by conducting deep search across local markdown files like syntheses and sources. It reads relevant pages, analyzes the context, and compiles a coherent answer with strict retrieval-based responses.
Yes, you can query past decisions and notes in local files using natural language or a slash command. The retrieval system finds related wiki entries and provides a coherent answer with citations from your markdown knowledge base.
During wiki knowledge retrieval, unknown or missing topics are handled gracefully. The system assures strict retrieval-based responses, meaning it relies entirely on existing local markdown files rather than generating speculative answers for missing information.
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summarybotngImplement semantic vector search with AgentDB using HNSW indexing and quantization.
