tavily-ai/tavily-crawl

Faça crawl de sites e extraia conteúdo de múltiplas páginas via Tavily CLI. Use esta habilidade quando o usuário quiser rastrear um site, baixar documentação, extrair uma seção inteira de docs, extrair páginas em massa, salvar um site como arquivos markdown locais, ou disser palavras-chave como 'crawl', 'pegue todas as páginas', 'baixe os docs', 'extraia tudo sob /docs', 'extração em massa', ou precisar de conteúdo de muitas páginas no mesmo domínio.

O que é tavily-crawl?

O **tavily-ai/tavily-crawl** é uma habilidade para agentes de IA que permite fazer crawl de sites completos ou seções específicas, extraindo e salvando o conteúdo de múltiplas páginas como arquivos Markdown locais. Utiliza a interface de linha de comando (CLI) do Tavily, oferecendo controle granular sobre profundidade, largura, filtros de caminho (path filtering) e instruções semânticas personalizadas. É ideal para cenários como baixar documentações técnicas, extrair seções inteiras de um site (/docs, /blog), ou fazer extração em massa de páginas de um mesmo domínio. A habilidade gera automaticamente arquivos .md locais, preservando a estrutura de navegação e conteúdo, o que facilita consultas offline ou análises posteriores. Compatível com agentes como Claude Code, Cursor, Codex e outros que suportem execução de comandos CLI, proporcionando automação robusta para tarefas de extração de conteúdo web.

Funciona com~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/tavily-ai/skills/tree/main/skills/tavily-crawl

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Documentação

O que tavily-crawl faz?

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-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-map

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.

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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