obsidian-vault-intelligence

Natural language vault search lets you ask questions about your vault's content in plain English and receive summarized answers. Use the query_vault tool with a question like 'Partner Project partnership status' to retrieve relevant context without manual note browsing.

Yes, intelligent search and backlink analysis discover cross-references and related notes automatically. The Skill performs progressive search and cross-reference discovery to map relationships between notes, revealing context you might miss with keyword-only searching.

The Skill provides write_note, create_note, append_to_note, and update_note_section tools to create new notes or modify existing sections without manual editing. This maintains vault structure and hygiene while automating note operations during workflows.

Query your vault for relevant project status, meeting notes, and action items using natural language, then synthesize the results into a new linked note. This workflow extracts context-specific information and creates organized reference documents in seconds.

Yes, the Skill applies to project contexts, strategic decisions, and research notes. Pattern-based search and note creation support research synthesis, competitive analysis, and decision documentation by treating your vault as a queryable knowledge base.

You need an active Obsidian vault and the obsidian-mcp Node.js dependency installed. The MCP connector bridges your vault to the Skill's query tools, enabling natural-language access to your notes and backlink structure.