通过 Tavily CLI 进行网络搜索、内容提取、爬取和深度研究。当用户需要搜索网络、查找文章、研究主题、在线查询、从 URL 提取内容、抓取网页文本、爬取文档、下载网站页面、发现域名上的 URL 或进行带有引用的深度研究时，使用此技能。
该技能集成了 Tavily CLI，为 AI 代理提供了超过原生能力的网络搜索、内容提取、网站爬取和深度研究功能。它专门针对大型语言模型（LLM）优化，能够返回结构化的搜索结果和可直接引用的内容，特别适合需要实时、准确、可追溯外部信息的研究任务。技能主要支持 CLI 工具，通过指令触发，如“搜索”、“提取”、“爬取”、“研究”等自然语言描述。其工作原理基于 Tavily 的 API，能够高效地发现 URL、抓取页面文本、下载文档，并提供带有引用的深度研究结果，有效弥补了 AI 代理在实时网络访问方面的局限。注意：此技能不应被用于本地文件操作、Git 命令、部署或代码编辑任务，以免错误触发。
npx skills add https://github.com/tavily-ai/skills/tree/main/skills/tavily-cliInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
通过 Tavily CLI 进行网络搜索、内容提取、爬取和深度研究。当用户想要搜索网络、查找文章、研究主题、在线查资料、从 URL 提取内容、从网页抓取文本、爬取文档、下载网站页面、发现域名上的 URL 或进行带有引用的深入调研时，请使用此技能。当用户说“抓取这个页面”、“提取...的内容”、“获取 https://... 的页面”、“查找关于...的文章”或提到从外部网站提取数据时，也应使用此技能。这提供了针对大语言模型优化的网络搜索、内容提取、网站爬取、URL 发现以及 AI 驱动的深度研究——这些都是代理本身无法原生的能力。不要 将其用于本地文件操作、Git 命令、部署或代码编辑任务。
This repo contains 11 individual skills — each has its own dedicated page.
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.
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.
Comprehensive research grounded in web data with explicit citations. Use when you need multi-source synthesis—comparisons, current events, market analysis, detailed reports.
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.
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.
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.
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.
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.
Discover and list all URLs on a website without extracting content, via the Tavily CLI. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", "list all pages", or "site structure". Faster than crawling — returns URLs only. Essential when you know the site but not the exact page. Combine with extract for targeted content retrieval.
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.
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.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.