Fetch specific documentation sections from DiPeO's docs using anchors or keyword queries.
npx skills add https://github.com/sorryhyun/DiPeO --skill doc-lookup
Please help me install this Agent Skill. Skill: doc-lookup Source: https://github.com/sorryhyun/DiPeO/tree/main/.claude/skills/doc-lookup Command: npx skills add https://github.com/sorryhyun/DiPeO --skill doc-lookup
Sifting through large documentation files to find specific information is time-consuming and inefficient, especially for AI agents that incur token costs for large context windows. This skill provides a targeted way to retrieve only relevant documentation excerpts, drastically improving efficiency and reducing cognitive load.
#cli-flags), ensuring the most precise results.doc-lookup to retrieve just that specific section from docs/agents/package-maintainer.md, providing immediate, focused context without overwhelming the agent with irrelevant information.python .claude/skills/doc-lookup/scripts/section_search.py
--query "cli-commands"
--paths docs/agents/backend-development.md
--top 1
High-intent search queries and answers about installing and using this skill.
Documentation lookup retrieves precise sections using explicit anchors (e.g., `#cli-flags`) or keyword matching on headings and content. It returns only the top 1-3 most relevant sections with file paths and excerpts, drastically reducing token usage compared to full-document retrieval.
Yes. Keyword and heading search uses fuzzy matching to locate relevant sections even without exact anchor knowledge. The skill scores content by keyword relevance and heading text similarity, returning focused excerpts that match your query.
Documentation lookup minimizes context by fetching only topic-specific excerpts rather than full documents. Agents retrieve just relevant sections—like handler patterns or CLI flags—enabling efficient context windows without overwhelming token consumption.
Anchor-based retrieval parses Markdown heading structures using explicit anchors and auto-generated slugs. It matches requested anchors directly to heading text, returning the section content and file path with configurable line limits for precise, minimal excerpts.
Yes. The skill accepts multiple documentation file paths, searches across them, and ranks results by relevance. It returns the top 1-3 sections sorted by keyword and heading match strength, with full file paths and heading references for context.
The skill works with Markdown documentation featuring explicit heading anchors and keyword content. It supports flexible discovery through heading text matching and content scoring, making it compatible with standard documentation layouts without requiring special preprocessing.
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