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tavily-ai/tavily-crawl

Explorez et extrayez le contenu de plusieurs pages web via l'interface en ligne de commande Tavily.

Qu'est-ce que tavily-crawl ?

Cette compétence permet à un agent utilisateur de lancer des crawls de sites web complets ou de sections spécifiques (comme une documentation entière) via le CLI Tavily. Elle est idéale pour les tâches de téléchargement de documentation, d'extraction en bloc de pages, ou de sauvegarde d'un site sous forme de fichiers Markdown locaux. L'outil offre un contrôle précis sur la profondeur et la largeur du crawl, le filtrage par chemin (path filtering), ainsi que la possibilité de donner des instructions sémantiques pour guider l'extraction. Chaque page est sauvegardée individuellement en Markdown, ce qui facilite la réutilisation ultérieure du contenu par l'agent ou le développeur.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/tavily-ai/skills/tree/main/skills/tavily-crawl

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Documentation

Que fait tavily-crawl ?

Explorez des sites web et extrayez le contenu de plusieurs pages via l'interface en ligne de commande Tavily. Utilisez cette compétence lorsque l'utilisateur souhaite crawler un site, télécharger une documentation, extraire une section entière de documentation, extraire en bloc des pages, sauvegarder un site sous forme de fichiers Markdown locaux, ou qu'il utilise des termes comme "crawler", "récupérer toutes les pages", "télécharger la documentation", "extraire tout ce qui est sous /docs", "extraction en bloc", ou qu'il a besoin du contenu de nombreuses pages sur le même domaine. Prend en charge le contrôle de la profondeur/de la largeur, le filtrage par chemin, les instructions sémantiques et la sauvegarde de chaque page sous forme de fichier Markdown local.

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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