Search local .docs/ documentation via make search-docs before internet queries.
npx skills add https://github.com/atilladeniz/next-go-pg --skill tech-docs
Please help me install this Agent Skill. Skill: tech-docs Source: https://github.com/atilladeniz/next-go-pg/tree/main/.claude/skills/tech-docs Command: npx skills add https://github.com/atilladeniz/next-go-pg --skill tech-docs
This Skill drastically reduces the time spent searching for answers to technical questions by prioritizing local, project-specific documentation. It provides a semantic search tool for the .docs/ directory, ensuring you get relevant, context-aware information quickly, rather than sifting through generic internet results.
make search-docs to intelligently query local documentation for specific topics and code examples.make search-docs q="prefetchQuery TanStack Query" to quickly find relevant project-specific documentation and code snippets, saving valuable development time.Search the local documentation for information on "Tailwind CSS 4" and list the top 3 results with their relevance scores.
High-intent search queries and answers about installing and using this skill.
Use `make search-docs q="your-topic"` to perform semantic search across your `.docs/` directory. This queries local project-specific documentation on frameworks like Next.js, TanStack Query, and Tailwind CSS before falling back to internet searches, returning relevant results with relevance scores.
Run `make search-docs` with specific keywords—for example, `q="prefetchQuery TanStack Query"`—to retrieve code snippets and implementation patterns from local `.docs/<tech>.md` files. Results rank by relevance, surfacing the most applicable examples first.
Yes. The `.docs/` repository contains comprehensive documentation on Next.js, TanStack Query, Better Auth, GORM, Tailwind CSS, and other technologies in your stack. Semantic search indexes all files, enabling rapid context-aware lookups without internet dependency.
Prioritize local docs for technology stack inquiries, API usage questions, and code-pattern lookups. Local search returns project-specific context faster than generic web results. Use web search only when local documentation is unavailable or doesn't cover your query.
Documentation workflow guides show how to fetch, update, and maintain `.docs/<tech>.md` files. Adding or updating local docs ensures `make search-docs` indexes current information and improves future query results with project-specific patterns.
Semantic search works best for technology stack inquiries, API usage, and code-pattern questions where project documentation exists. It gracefully falls back to internet sources when local docs don't cover a topic, ensuring you still get answers.
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