Tavily CLI

Search, extract, crawl, and research web content from the command line.

223|35|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/ComposioHQ/awesome-agent-clis --skill tavily-cli-composiohq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Tavily CLI
Source: https://github.com/ComposioHQ/awesome-agent-clis/tree/main/tavily-cli
Command: npx skills add https://github.com/ComposioHQ/awesome-agent-clis --skill tavily-cli-composiohq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables agents to perform web searches, extract webpage content, crawl sites, and conduct multi-source research efficiently from the command line.

Core Features & Use Cases

  • Web Search: Find relevant information and latest updates from the internet in natural language.
  • Content Extraction: Pull structured data from web pages for analysis or summarization.
  • Site Crawling: Deeply explore websites to gather comprehensive information on specific topics.
  • Deep Research: Conduct multi-source, multi-step investigations to generate detailed insights. For example, an agent could use it to quickly gather recent news on AI developments or collect documentation snippets from multiple sites.

Quick Start

Ask the agent to search for the latest AI research papers and summarize the key findings.

Frequently Asked Questions about Tavily CLI

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract web content and perform web searches from the terminal?

You can perform terminal-based web searches and content extraction by using this Skill to enable agents to pull structured data from web pages directly through command line interactions.

What is the best way to conduct multi-source research for agent workflows?

Multi-source research for agent workflows is handled through deep investigation features that gather comprehensive information across multiple websites, delivering structured output for detailed analysis tasks.

Can I use natural language queries to crawl websites and gather specific information?

Yes, site crawling supports natural language queries, allowing agents to deeply explore websites and gather comprehensive information on specific topics without requiring rigid search syntax.

Does this web research tool provide structured output for agent data collection?

Yes, the tool focuses on structured output specifically for agent workflows, ensuring that extracted web content and search results are formatted properly for automated data collection and analysis.

How do I get started with automating web page content extraction for analysis?

To start automating content extraction, simply ask the agent to search for a specific topic, such as recent research papers, and it will summarize the key findings pulled directly from web pages.