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tavily-ai/tavily-map

通过 Tavily CLI 发现并列出网站上的所有 URL,无需提取内容。当用户想要在大型网站上找到特定页面、列出所有 URL、查看站点结构、查找域名上的内容位置,或说出“映射站点”、“查找 URL”、“有哪些页面”、“列出所有页面”或“站点结构”时,使用此技能。比爬取更快——仅返回 URL。当您知道站点但不知道确切页面时,此技能至关重要。可与 extract 结合用于有针对性的内容检索。

tavily-map 是什么?

tavily-ai/tavily-map 是一个 AI 代理技能,通过 Tavily CLI 高效地发现和列出网站上的所有 URL,而不提取页面内容。其主要优势在于速度——它比传统的 Web 爬取快得多,因为它只返回 URL 列表,而不需下载和解析完整页面。当您知道目标网站但不确定具体页面路径时(例如,查找特定文档、博客文章或资源),此技能非常有用。它支持与 extract 技能组合使用,以实现从已知 URL 进行有针对性的内容提取。该技能适用于各种 AI 代理平台(如 Claude Code、Cursor、Codex 等),并响应诸如“映射站点”、“查找 URL”、“列出所有页面”或“站点结构”等用户意图。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/tavily-ai/skills/tree/main/skills/tavily-map

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tavily-map 是做什么的?

通过 Tavily CLI 发现并列出网站上的所有 URL,无需提取内容。当用户想要在大型网站上找到特定页面、列出所有 URL、查看站点结构、查找域名上的内容位置,或说出“映射站点”、“查找 URL for”、“有哪些页面 on”、“列出所有页面”或“站点结构”时,使用此技能。比爬取更快——仅返回 URL。当您知道站点但不知道确切页面时,此技能至关重要。可与 extract 结合用于有针对性的内容检索。

使用方法

要使用此技能,请确保已安装并配置 Tavily CLI。运行以下命令来映射网站:

tavily map <url>

例如,要映射 example.com 上的所有 URL:

tavily map https://example.com

提示示例

与其他技能组合

此技能可与 tavily-extract 技能组合使用,以从映射到的 URL 中提取内容。例如:

  1. 首先映射站点以找到相关 URL:
    tavily map https://docs.example.com
    
  2. 然后从特定 URL 提取内容:
    tavily extract https://docs.example.com/getting-started
    

注意事项

  • 此技能仅返回 URL,不提取任何内容。要获取页面实际内容,请使用 extract 技能。
  • 映射大型站点可能需要一些时间,具体取决于站点大小和服务器响应。
  • 请遵守网站的 robots.txt 规则和访问条款。

Individual skills in this repo

This repo contains 11 individual skills — each has its own dedicated page.

tavily-ai/crawl

Crawl any website and save pages as local markdown files. Use when you need to download documentation, knowledge bases, or web content for offline access or analysis. No code required - just provide a URL.

tavily-ai/extract

Extract content from specific URLs using Tavily's extraction API. Returns clean markdown/text from web pages. Use when you have specific URLs and need their content without writing code.

tavily-ai/research

Comprehensive research grounded in web data with explicit citations. Use when you need multi-source synthesis—comparisons, current events, market analysis, detailed reports.

tavily-ai/search

Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code.

tavily-ai/tavily-best-practices

Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.

tavily-ai/tavily-cli

Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say "fetch this page", "pull the content from", "get the page at https://", "find me articles about", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

tavily-ai/tavily-crawl

Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file.

tavily-ai/tavily-dynamic-search

Programmatic web search with context isolation. Use this skill for any research task where you need to search the web, filter results, and extract specific information — without polluting your context window with raw HTML and boilerplate. This is the default skill for web research. Triggered by "search for", "look up", "find", "research", "what's the latest on", or any query that requires current web information. Also use when asked to "search and filter", "find the important parts", or "extract the key details" — any case where the user wants curated, noise-free content.

tavily-ai/tavily-extract

Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says "extract", "grab the content from", "pull the text from", "get the page at", "read this webpage", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.

tavily-ai/tavily-research

Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.

tavily-ai/tavily-search

Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.

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