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tavily-ai/tavily-crawl

Websites crawlen und Inhalte von mehreren Seiten über die Tavily CLI extrahieren.

Was ist tavily-crawl?

Die Fertigkeit `tavily-ai/tavily-crawl` ermöglicht es AI-Agenten, Websites systematisch zu crawlen und Inhalte von mehreren Seiten effizient zu extrahieren. Sie ist ideal für Entwickler, die Dokumentationen herunterladen, ganze Docs-Bereiche extrahieren, Seiten in großen Mengen auslesen oder eine Website als lokale Markdown-Dateien speichern möchten. Die Fertigkeit unterstützt die Steuerung von Crawling-Tiefe und -Breite, Pfadfilterung, semantische Anweisungen und das Speichern jeder gecrawlten Seite als separate Markdown-Datei. Sie erkennt Anfragen wie 'crawl', 'alle Seiten holen', 'Dokumentation herunterladen', 'alles unter /docs extrahieren' oder wenn ein Benutzer Inhalte von vielen Seiten derselben Domain benötigt. Die Fertigkeit basiert auf der Tavily CLI und ist für Agenten wie Claude Code, Cursor und Codex optimiert.

Funktioniert mit~Claude Code~Codex CLI~Cursor

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

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ChatGPT Claude Gemini Grok Perplexity DeepSeek

Dokumentation

Was macht tavily-crawl?

Websites crawlen und Inhalte von mehreren Seiten über die Tavily CLI extrahieren. Verwenden Sie diese Fertigkeit, wenn der Benutzer eine Website crawlen, Dokumentation herunterladen, einen gesamten Docs-Bereich extrahieren, Seiten in großen Mengen auslesen, eine Website als lokale Markdown-Dateien speichern möchte oder Schlüsselwörter wie "crawl", "alle Seiten holen", "Dokumentation herunterladen", "alles unter /docs extrahieren", "in großen Mengen extrahieren" sagt oder Inhalte von vielen Seiten derselben Domain benötigt. Unterstützt Tiefen-/Breitensteuerung, Pfadfilterung, semantische Anweisungen und das Speichern jeder Seite als lokale Markdown-Datei.

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.