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tavily-ai/tavily-dynamic-search

Búsqueda web programática con aislamiento de contexto. Usa esta habilidad para cualquier tarea de investigación donde necesites buscar en la web, filtrar resultados y extraer información específica sin contaminar tu ventana de contexto con HTML sin procesar y contenido repetitivo.

¿Qué es tavily-dynamic-search?

Esta habilidad de agente de IA, diseñada para plataformas como Claude Code, Cursor o Codex, permite realizar búsquedas web programáticas con aislamiento de contexto. Es la habilidad predeterminada para investigación web, evitando que el HTML sin procesar y el contenido repetitivo contaminen la ventana de contexto del agente. Se activa automáticamente ante consultas como 'buscar', 'investigar', 'encontrar', o 'cuál es la última noticia sobre', y también cuando el usuario solicita 'buscar y filtrar', 'encontrar las partes importantes' o 'extraer los detalles clave'. Su funcionamiento se basa en la API de Tavily, que permite realizar consultas de búsqueda, obtener resultados filtrados y extraer información específica de manera programática, asegurando que el contenido devuelto sea curado y sin ruido, optimizando así el uso del contexto del agente.

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

Installed? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

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¿Qué hace tavily-dynamic-search?

Búsqueda web programática con aislamiento de contexto. Usa esta habilidad para cualquier tarea de investigación donde necesites buscar en la web, filtrar resultados y extraer información específica — sin contaminar tu ventana de contexto con HTML sin procesar y contenido repetitivo. Esta es la habilidad predeterminada para investigación web. Se activa mediante "buscar", "investigar", "encontrar", "investigación", "cuál es la última noticia sobre", o cualquier consulta que requiera información web actual. También se usa cuando se te pide "buscar y filtrar", "encontrar las partes importantes" o "extraer los detalles clave" — cualquier caso donde el usuario desee contenido curado y sin ruido.

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-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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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.

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