Answer user questions using local documentation with cited sources.
npx skills add https://github.com/Elijah-J/InfoScraper --skill ask-docs
Please help me install this Agent Skill. Skill: ask-docs Source: https://github.com/Elijah-J/InfoScraper/tree/main/.agents/skills/ask-docs Command: npx skills add https://github.com/Elijah-J/InfoScraper --skill ask-docs
Answer questions using locally scraped documentation. Searches output/docs/ (and any indexed exploration archive findings) for relevant content and responds grounded in the actual docs. Supports scoping by collection prefix.
Ask a question about the local documentation and optionally specify a collection prefix to scope the search.
High-intent search queries and answers about installing and using this skill.
To answer questions using local documentation, you can ground responses in your scraped docs corpus. The skill searches local documentation archives and provides cited answers drawn strictly from that content.
Yes, you can scope local document search results using an optional collection prefix. This constrains the retrieval process to narrow results and improve answer relevance for specific documentation sets.
Cross-reference extraction improves information retrieval by surfacing See also and Related links during document search. This provides contextual connections from your local docs to deliver comprehensive, multi-source cited responses.
The best way to find precise step-by-step guidance in scraped documentation is using ripgrep-based exact matching and local search indexing. This retrieves specific doc-backed explanations grounded in your local corpus.
Yes, you need to run a local search index before querying your local docs. The skill relies on running a python indexing module to build the searchable structure required for accurate ripgrep-based matching and retrieval.
Your local docs information retrieval results may be too broad if you omit collection-prefix scoping. Applying a prefix constrains the search boundary, filtering unrelated documentation and improving retrieval precision.
arbgjrIndexes external reference documents into a searchable corpus for RAG workflows.
arisngGround responses with official VS Code and Copilot documentation.
newkubSearch code, files, and text using AST grep, ripgrep, and fd.
rukikotooQuery the econometrics RAG knowledge base to retrieve relevant document chunks.
