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Agent Skills let you add Tavily’s web capabilities to AI coding agents like Claude Code, Cursor, Cline, Codex, Windsurf, and others via the Tavily CLI.

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Available Skills

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Installation

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Step 1:

Install the Tavily CLI:
See the CLI docs for other installation methods.

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Step 2:

Install the skills:
Or install a specific skill:
After installation, restart your AI agent to load the skills.

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Usage

Once installed, skills are automatically available to your agent. No additional configuration is needed — your agent will use them when appropriate based on your prompts.

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Automatic Invocation

Simply describe what you need and your agent will use the right Tavily skill:

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Explicit Skill Invocation

You can also invoke skills directly using slash commands:

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Skill Details

Search

Web search returning LLM-optimized results with content snippets and relevance scores.Invoke explicitly:
Example prompts:
  • “Search for the latest news on AI regulations”
  • “/tavily-search current React best practices”
  • “Search for Python async patterns”
CLI usage:
Key options: --depth (ultra-fast/fast/basic/advanced), --max-results, --topic, --time-range, --include-domains, --exclude-domains, --include-raw-content
Extract clean markdown or text content from one or more URLs. Handles JavaScript-rendered pages.Invoke explicitly:
Example prompts:
  • “Extract the content from this article URL”
  • “/tavily-extract https://example.com/blog/post”
  • “Extract content from these three documentation pages”
CLI usage:
Key options: --query, --chunks-per-source, --extract-depth (basic/advanced), --format (markdown/text)
Discover URLs on a website without extracting content. Faster than crawling — useful for finding the right page before extracting.Invoke explicitly:
Example prompts:
  • “Map the site structure of docs.example.com”
  • “Find the authentication page on this site”
  • “List all URLs under the /api/ path”
CLI usage:
Key options: --max-depth, --limit, --instructions, --select-paths, --exclude-paths
Use the map + extract pattern: map to find the right page, then extract its content. This is often more efficient than crawling an entire site.
Crawl websites and extract content from multiple pages. Save each page as a local markdown file or get structured JSON output.Invoke explicitly:
Example prompts:
  • “Crawl the Stripe API docs and save them locally”
  • “/tavily-crawl https://docs.example.com”
  • “Download the Next.js documentation for offline reference”
CLI usage:
Key options: --max-depth, --limit, --instructions, --chunks-per-source, --output-dir, --select-paths, --exclude-paths
AI-powered deep research that gathers sources, analyzes them, and produces a cited report. Takes 30–120 seconds.Invoke explicitly:
Example prompts:
  • “Research the latest developments in quantum computing”
  • “/tavily-research AI agent frameworks and save to report.json”
  • “Research the competitive landscape for AI coding assistants”
CLI usage:
Key options: --model (mini/pro/auto), --stream, --citation-format, --output-schema, -o
Build production-ready Tavily integrations with best practices baked in. Reference documentation for implementing web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.Invoke explicitly:
Example prompts:
  • “Add Tavily search to my internal company chatbot so it can answer questions about our competitors”
  • “Build a lead enrichment tool that uses Tavily to find company information from their website”
  • “Create a news monitoring agent that tracks mentions of our brand using Tavily search”
  • “Implement a RAG pipeline that uses Tavily extract to pull content from industry reports”

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What You Can Build

Copy-paste these prompts into your AI agent and start building:
Build a chatbot that can answer questions about current events and up-to-date information.Try these prompts:
Create a live news dashboard that tracks topics and analyzes sentiment.Try these prompts:
Build tools that automatically enrich leads with company data from the web.Try these prompts:
Build an autonomous agent that monitors competitors and surfaces insights.Try these prompts:
The /tavily-best-practices skill is your fastest path to production. Describe what you want to build and your agent generates working code with best practices baked in.