Tavily Search

Name: Tavily Search
Availability: InStock
Author: kartikfed

Perform web searches via the Tavily API with configurable result counts and search depth.

Updated Feb 6, 2026

Search Tags:#research #api #information retrieval #search #web #tavily

Ready to run

npx skills add https://github.com/kartikfed/OpenClawLimen --skill tavily-search-kartikfed

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Tavily Search
Source: https://github.com/kartikfed/OpenClawLimen/tree/main/skills/tavily-search
Command: npx skills add https://github.com/kartikfed/OpenClawLimen --skill tavily-search-kartikfed

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides fast, AI-optimized web search results, enabling users to quickly find current information and conduct research.

Core Features & Use Cases

Web Research: Efficiently gather information from the web for current topics.
Multi-Source Queries: Useful for questions that benefit from diverse perspectives.
AI-Ready Content: Returns structured data suitable for direct use by AI models.

Quick Start

Use the Tavily Search skill to find the latest AI news.

Frequently Asked Questions about Tavily Search

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

FAQPage Schema

How do I retrieve current information from the web for AI models?▼

To gather current information for AI models, use an AI-optimized web search API to retrieve structured content. This approach delivers up-to-date data suitable for direct use by AI models.

What is the best way to aggregate news and conduct multi-source web research?▼

The best way to aggregate news and conduct multi-source research is to use an API that queries diverse web sources. This provides comprehensive information retrieval and varied perspectives for your topics.

Can I configure the search depth and number of results for web research queries?▼

Yes, you can configure both the search depth and the number of results returned. This flexibility allows you to control the efficiency and breadth of data retrieval for your specific research tasks.

Does Tavily Search work with structured content formats for AI applications?▼

Yes, Tavily Search works with AI applications by returning structured, AI-ready content. This format is designed for direct use by AI models, streamlining the integration of current web data.

Are there limitations when using an API for general web research and information gathering?▼

When using an API for web research, limitations typically involve configurable result counts and search depth settings. These parameters constrain the total volume of information retrieved per single query.