Locate official library and framework documentation across multiple sources.
npx skills add https://github.com/dige04/hieu-ccsetup --skill docs-discovery-dige04
Please help me install this Agent Skill. Skill: docs-discovery Source: https://github.com/dige04/hieu-ccsetup/tree/main/config/skills/docs-discovery Command: npx skills add https://github.com/dige04/hieu-ccsetup --skill docs-discovery-dige04
Quickly locating official docs for libraries/frameworks across multiple sources with multilingual support and robust fallbacks.
Ask Claude to locate official docs for a library and a topic, then fetch and summarize them.
High-intent search queries and answers about installing and using this skill.
You can discover official library documentation across multiple sources by applying context-first lookups via context7.llms.txt, then gracefully falling back to web searches and repository analyses to fetch prioritized URLs and summaries.
Yes, documentation discovery supports multilingual queries and typo tolerance, allowing you to locate relevant framework documentation accurately even when the input query contains spelling errors or non-English text.
The best way to locate specific topics is through topic-specific lookups that identify both the library and the subject, returning targeted doc URLs and an actionable summary directly from the official documentation sources.
When initial context7 lookups fail, the web search fallback executes multi-source repository analyses and broad web searches to assemble relevant documentation URLs, ensuring you receive prioritized results even without direct llms.txt entries.
Documentation discovery is language-agnostic, meaning it works across any programming language or framework by analyzing repository structures and querying multiple web sources to assemble relevant official docs regardless of the technology stack.
algusaemRetrieve current library, framework, and API documentation via Context7.
MrNeo01Fetch LangGraph documentation pages to answer usage questions.
BrunoAMSilvaCreate tldr-style command reference pages from documentation URLs.
ZardLi1115Query a SearXNG instance for aggregated search results with JSON responses.
