透過 Tavily CLI 進行網路搜尋、內容擷取、爬蟲與深度研究。當使用者想要搜尋網路、尋找文章、研究主題、查詢線上資訊、從 URL 提取內容、抓取網頁文字、爬取文件、下載網站頁面、探索網域上的 URL，或進行具引用的深入研究時，請使用此技能。
這是一個基於 Tavily CLI 的 AI 代理技能，專門用於強化代理的網路互動能力。與代理原生的有限搜尋功能不同，此技能提供 LLM 最佳化的網路搜尋、精準的內容提取、網站的全面爬蟲、URL 探索以及 AI 驅動的深度研究。它支援多種平台，包括 Claude Code、Cursor、Codex 等主流 AI 代理工具。當使用者提出「搜尋網路」、「提取此頁面內容」、「爬取某文件」、「進行深度研究」等需求時，此技能會自動觸發 Tavily CLI 來執行任務。其核心優勢在於能從外部網站獲取結構化、高品質的資訊，並提供引用來源，這大大超越了代理預設的網路操作能力。使用非常簡單，代理會根據使用者意圖自動決定是否啟用，無需手動干預。重要的是，它專注於網路相關操作，不應用於本地檔案處理、Git 命令或程式碼編輯等任務。
npx skills add https://github.com/tavily-ai/skills/tree/main/skills/tavily-cliInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
透過 Tavily CLI 進行網路搜尋、內容擷取、爬蟲與深度研究。當使用者想要搜尋網路、尋找文章、研究主題、查詢線上資訊、從 URL 提取內容、抓取網頁文字、爬取文件、下載網站頁面、探索網域上的 URL，或進行具引用的深入研究時，請使用此技能。當他們說「擷取此頁面」、「從中提取內容」、「取得 https:// 上的頁面」、「幫我找關於...的文章」，或提及從外部網站提取資料時，也請使用。這提供了 LLM 最佳化的網路搜尋、內容擷取、網站爬蟲、URL 探索以及 AI 驅動的深度研究——這些能力超越代理天生的能力。請勿在本地檔案操作、Git 指令、部署或程式碼編輯任務中觸發此技能。
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.