Search technical documentation via context7 llms.txt URLs and analyze results.
npx skills add https://github.com/mthienDev/cipher-talk --skill docs-seeker-mthiendev
Please help me install this Agent Skill. Skill: docs-seeker Source: https://github.com/mthienDev/cipher-talk/tree/main/.claude/skills/docs-seeker Command: npx skills add https://github.com/mthienDev/cipher-talk --skill docs-seeker-mthiendev
This Skill eliminates the frustration of wading through irrelevant search results and consuming excessive tokens when trying to find specific technical documentation. It automates the discovery process, delivering highly targeted information quickly and efficiently.
context7.com and other sources, with built-in fallback chains.llms.txt) to categorize URLs by priority and recommends optimal agent distribution for comprehensive analysis.shadcn/ui. This skill will pinpoint the exact documentation without manual searching, saving time and tokens.Find documentation on 'Next.js caching strategies' using the docs-seeker skill.
High-intent search queries and answers about installing and using this skill.
Search technical documentation by submitting topic-specific or general queries; the Skill automatically detects your intent, extracts library names, constructs documentation URLs from context7.com and other sources, and returns prioritized results with zero-token script execution, eliminating manual searching and excessive token consumption.
Yes. The Skill classifies framework-specific queries, pinpoints exact documentation pages, and analyzes llms.txt files to categorize URLs by relevance, so you locate API reference material and implementation guides without manual browsing.
Documentation search uses built-in fallback chains and robust error handling; if primary sources are unavailable, the Skill attempts alternative documentation endpoints and constructs queries with agent distribution strategy to ensure comprehensive coverage across multiple sources.
Submit repository or multi-library queries; the Skill analyzes fetched documentation, categorizes URLs by priority level, recommends optimal agent distribution for comprehensive analysis, and guides you to the most relevant technical resources across your tech stack.
The Skill handles query formatting automatically through intelligent detection and keyword extraction; you submit plain-language questions about libraries, frameworks, or general technical topics, and it constructs optimized documentation searches without manual syntax or URL building.
seohowClassify keyword lists into search intent categories and map them to webpage types.
quanganh208Locate library documentation by detecting topics and fetching llms.txt entries.
algusaemRetrieve current library, framework, and API documentation via Context7.
kevinnguyen271090Execute scripts to detect query types and retrieve documentation from context7 llms.txt.