tavily

Query the Tavily API to retrieve concise, relevance-ranked web search results.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/M1Albert/xiaoman-openclaw-skills --skill tavily-m1albert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/M1Albert/xiaoman-openclaw-skills/tree/main/tavily-search
Command: npx skills add https://github.com/M1Albert/xiaoman-openclaw-skills --skill tavily-m1albert

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Solves the problem of slow, unfocused web research for AI agents by delivering concise Tavily results.

Core Features & Use Cases

  • AI-optimized web search: Query Tavily API to retrieve targeted results with optional depth and topic controls.
  • Content extraction support: Retrieve concise content and provide structured results suitable for AI reasoning.
  • Use Case: An AI agent researching market trends can retrieve top sources on a topic and summarize key points for decision-making.

Quick Start

Search the web with Tavily for a given query and return concise, relevant results.

Frequently Asked Questions about tavily

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

FAQPage Schema
How do I get concise web search results for an AI agent?

AI-optimized web search delivers concise Tavily results tailored for AI agents. It queries the Tavily API to retrieve targeted, relevance-ranked sources and summaries, solving the problem of slow, unfocused web research across domains.

What is the best way to retrieve relevance-ranked web sources for AI reasoning?

Retrieving relevance-ranked web sources for AI reasoning is done by querying the Tavily API with optional depth and topic controls. It provides structured results and concise content extraction suitable for AI workflows like market trend discovery.

Do I need a Node.js runtime and API key to use Tavily search?

Yes, you need a Node.js runtime and a Tavily API key to authenticate and query the Tavily search API. Environment configuration and region-specific endpoints are supported to render concise results for your AI workflows.

Can I control search depth and topics when querying the Tavily API?

You can control search depth and topics when querying the Tavily API to retrieve targeted results. This allows your AI agent to filter web research and summarize key points for decision-making across various domains.

How do I extract concise content from web pages for AI workflows?

Extracting concise content for AI workflows is supported by retrieving structured results from the Tavily API. It provides summarized information and relevance-ranked sources suitable for fast topic discovery and AI reasoning.

Why does my AI agent struggle with slow, unfocused web research?

AI agents struggle with slow, unfocused web research because standard search lacks relevance ranking and concise summaries. Using an AI-powered web search API delivers targeted results and structured content extraction tailored for agent reasoning.