Locate and extract passages from indexed documents via the document graph.
npx skills add https://github.com/BaiGanio/aperio --skill docgraph
Please help me install this Agent Skill. Skill: docgraph Source: https://github.com/BaiGanio/aperio/tree/main/skills/docgraph Command: npx skills add https://github.com/BaiGanio/aperio --skill docgraph
Document-heavy workflows often require manual searching, cross-referencing, and quoting from a diverse set of file types. This leads to slow answers and fragmented context.
Use the document graph to locate and quote relevant passages from your indexed documents.
High-intent search queries and answers about installing and using this skill.
To search and extract quotes from PDF and Word documents, use a document graph to locate and cite specific passages. This approach applies section-level context retrieval to Markdown, text, HTML, PDF, Office, and email formats, ensuring precise results.
Finding specific context in indexed emails and markdown files requires a document graph lookup to retrieve relevant sections or slices. This allows you to quote or summarize passages directly without manual cross-referencing across diverse file types.
Document search works across HTML, Excel, and PowerPoint files. It applies to Markdown, text, PDF, Word, and email content, allowing you to locate, outline, and quote passages seamlessly across a diverse set of indexed file formats.
To outline and summarize large documents without reading them entirely, apply section-level context retrieval using a document graph. This method uses dedicated search and outline tools to extract relevant slices, providing structured and auditable answers quickly.
Yes, you need a pre-indexed graph to locate passages in your local documents. The system relies on this pre-indexed graph and an MCP tool chain including doc_repos, doc_search, doc_outline, doc_context, and doc_refs to provide precise search results.
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