tavily-ai/tavily-search

Pesquise na web com resultados otimizados para LLMs via o CLI do Tavily.

O que é tavily-search?

Esta habilidade, tavily-ai/tavily-search, permite que agentes de IA e assistentes como Claude Code, Cursor ou Codex realizem pesquisas na web usando o Tavily Search, um mecanismo de busca otimizado especificamente para consumo por Grandes Modelos de Linguagem (LLMs). É útil quando o usuário solicita informações atuais da internet, como 'pesquise por', 'encontre', 'busque', 'qual a última notícia sobre', ou precisa de artigos, notícias e fontes. A habilidade retorna resultados relevantes com trechos de conteúdo, pontuações de relevância e metadados estruturados, facilitando a interpretação pelo LLM. Além disso, suporta funcionalidades avançadas como filtragem por domínio, intervalos de tempo específicos e múltiplas profundidades de pesquisa, garantindo resultados precisos e adaptáveis às necessidades do usuário. Funciona perfeitamente com ferramentas de linha de comando, acessando a API do Tavily de forma nativa.

Funciona com~Claude Code~Codex CLI~Cursor

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

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Documentação

O que tavily-search faz?

Pesquise na web com resultados otimizados para LLMs via o CLI do Tavily. Use esta habilidade quando o usuário quiser pesquisar na web, encontrar artigos, consultar informações, obter notícias recentes, descobrir fontes, ou disser "pesquise por", "encontre para mim", "busque", "qual a última notícia sobre", "encontre artigos sobre", ou precisar de informações atuais da internet. Retorna resultados relevantes com trechos de conteúdo, pontuações de relevância e metadados — otimizados para consumo por LLMs. Suporta filtragem por domínio, intervalos de tempo e múltiplas profundidades de pesquisa.

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-crawl

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.

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.

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