tavily-web-search

Perform Tavily-backed web searches with configurable depth and maximum results.

2|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/anzx01/LocalClaw --skill tavily-web-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily-web-search
Source: https://github.com/anzx01/LocalClaw/tree/main/bundled_skills/tavily-web-search
Command: npx skills add https://github.com/anzx01/LocalClaw --skill tavily-web-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides access to Tavily-powered web search to obtain fresher, structured results when the local model lacks up-to-date information.

Core Features & Use Cases

  • Tavily-backed web search to retrieve fresher information for any topic.
  • Configurable depth and max results, requiring a Tavily API key and Python in PATH.
  • Use Case: keep the agent informed with current market data or breaking news.

Quick Start

Tell Tavily Web Search to run a query and return fresh, structured results.

Frequently Asked Questions about tavily-web-search

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

FAQPage Schema
How do I retrieve fresh, structured information for a web search query?

To retrieve fresh, structured information for a web search query, you can use a Tavily-backed search tool that contacts the Tavily API to return current, structured results for dynamic topics and quick fact-checks.

Do I need a Tavily API key to perform web searches?

Yes, you need a Tavily API key and Python in PATH to perform web searches. The skill uses a safe_shell command to contact the Tavily API and obtain structured search results.

Can I configure the depth and maximum results for a web search?

Yes, you can configure both the search depth and the maximum number of results returned. This allows you to tailor the web search output for either quick fact-checks or more detailed market research.

What is the best way to keep my agent updated with current market data?

The best way to keep your agent updated with current market data is to perform a Tavily-backed web search, which retrieves fresh, structured information to ensure the local model stays current on dynamic topics.

Why does my web search fail to return fresh information from the local model?

Your web search fails because local models lack up-to-date information. You must contact the Tavily API using a valid API key and Python in PATH to retrieve fresh, structured web search results.