Pesquisa web, extração de conteúdo, rastreamento e pesquisa aprofundada via Tavily CLI. Use esta habilidade sempre que o usuário quiser pesquisar na web, encontrar artigos, pesquisar um tópico, buscar algo online, extrair conteúdo de uma URL, capturar texto de uma página web, rastrear documentação, baixar páginas de um site, descobrir URLs em um domínio ou realizar pesquisas aprofundadas com citações. Também use quando disser
Esta habilidade permite que agentes de IA como Claude Code, Cursor e Codex realizem tarefas de pesquisa web, extração de conteúdo e pesquisa aprofundada via a interface de linha de comando (CLI) do Tavily. Ela preenche uma lacuna crítica onde agentes não conseguem nativamente acessar informações atualizadas da web ou extrair dados de sites. Comandos como `tavily search` e `tavily extract` fornecem resultados otimizados para LLMs, incluindo citações e resumos. A habilidade também suporta rastreamento de sites (`tavily crawl`) e descoberta de URLs (`tavily discover`), sendo útil para agregar documentação, baixar conteúdo de sites e pesquisas aprofundadas sobre tópicos complexos. A chave é usar esta habilidade apenas para tarefas relacionadas à web, evitando operações locais. Sua principal vantagem é transformar o agente em um verdadeiro pesquisador assistido por IA, capaz de buscar, extrair e sintetizar informações da web de forma estruturada, com suporte explícito a múltiplas fontes e modos de pesquisa (rápido, rastreado, aprofundado).
npx skills add https://github.com/tavily-ai/skills/tree/main/skills/tavily-cliInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Pesquisa web, extração de conteúdo, rastreamento e pesquisa aprofundada via Tavily CLI. Use esta habilidade sempre que o usuário quiser pesquisar na web, encontrar artigos, pesquisar um tópico, buscar algo online, extrair conteúdo de uma URL, capturar texto de uma página web, rastrear documentação, baixar páginas de um site, descobrir URLs em um domínio ou realizar pesquisas aprofundadas com citações. Também use quando disser
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.