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tavily-ai/tavily-cli

Websuche, Inhalts-Extraktion, Crawling und tiefgehende Recherche über die Tavily CLI.

Was ist tavily-cli?

Dieses Skill ermöglicht KI-Agenten (wie Claude Code, Cursor, Codex) die leistungsstarke Nutzung der Tavily CLI, um LLM-optimierte Websuchen, Inhalts-Extraktion von URLs, Crawling ganzer Websites, URL-Entdeckung auf Domains und KI-gestützte Tiefenrecherche mit Quellenangaben durchzuführen. Es ist besonders nützlich, wenn der Benutzer beispielsweise nach aktuellen Informationen zu einem Thema sucht, den Inhalt einer Webseite abrufen, eine Dokumentation durchforsten, oder eine umfassende Recherche mit Zitaten durchführen möchte. Der Skill erweitert die nativen Fähigkeiten des Agenten, indem er strukturierte, relevante Daten aus dem Web liefert, die speziell für die Verarbeitung durch große Sprachmodelle aufbereitet sind. Er sollte nicht für lokale Dateioperationen, Git-Befehle, Deployments oder Codebearbeitung verwendet werden.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/tavily-ai/skills/tree/main/skills/tavily-cli

Installed? Explore more Recherche & Datenanalyse skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

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Dokumentation

Was macht tavily-cli?

Websuche, Inhalts-Extraktion, Crawling und tiefgehende Recherche über die Tavily CLI. Verwende diesen Skill immer dann, wenn der Benutzer das Web durchsuchen, Artikel finden, ein Thema recherchieren, etwas online nachschlagen, Inhalte von einer URL extrahieren, Text von einer Webseite abrufen, Dokumentation crawlen, die Seiten einer Website herunterladen, URLs auf einer Domain entdecken oder eine tiefgehende Recherche mit Quellenangaben durchführen möchte. Verwende ihn auch, wenn der Benutzer sagt "Hole diese Seite", "Ziehe den Inhalt von", "Rufe die Seite unter https:// auf", "Finde mir Artikel über" oder das Extrahieren von Daten von externen Websites erwähnt. Dieser Skill bietet eine für LLMs optimierte Websuche, Inhalts-Extraktion, Site-Crawling, URL-Entdeckung und KI-gestützte Tiefenrecherche – Fähigkeiten, die über das hinausgehen, was Agenten nativ können. Verwende ihn NICHT für lokale Dateioperationen, Git-Befehle, Deployments oder Code-Bearbeitungsaufgaben.

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-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.

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.

Verwandte Skills

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

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affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

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forrestchang/andrej-karpathy-skills

Agent skill repository discovered by 10x-chat research.

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langgenius/backend-code-review

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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