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tavily-search

Perform web searches via the Tavily API with configurable depth and topic filters.

Updated Mar 15, 2026
Search Tags:#api#information retrieval#llm#search#web#tavily
One-click install
npx skills add https://github.com/wongdean/knowledge-base --skill tavily-search-wongdean
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily-search
Source: https://github.com/wongdean/knowledge-base/tree/main/backups/openclaw-config/20260315_232439/workspace-skills/liang-tavily-search
Command: npx skills add https://github.com/wongdean/knowledge-base --skill tavily-search-wongdean

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides efficient and relevant web search results specifically optimized for consumption by Large Language Models, overcoming the limitations of traditional search engines for AI applications.

Core Features & Use Cases

  • LLM-Optimized Results: Delivers search snippets and metadata tailored for AI processing.
  • Configurable Search Depth & Topic: Allows fine-tuning of search parameters for better relevance and speed.
  • Use Case: An AI assistant needs to quickly find the latest research papers on a specific AI topic. Using this Skill with appropriate depth and topic settings ensures the AI receives concise, relevant information to synthesize an answer.

Quick Start

Use the tavily-search skill to find information about python async patterns.

Frequently Asked Questions about tavily-search

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

FAQPage Schema
How do I get web search results optimized for LLMs?▼

To get web search results optimized for LLMs, use this skill to query the Tavily API, which returns concise content snippets, scores, and metadata tailored for AI processing.

How do I configure search depth and topic filtering for an AI web search?▼

You can configure search depth and topic filtering for an AI web search by adjusting parameters for general or news topics, setting time ranges, and including or excluding specific domains.

Do I need an API key to retrieve web content for large language models?▼

Yes, you need an API key to retrieve web content for large language models. The skill requires a TAVILY_API_KEY environment variable for authentication before processing any search queries.

Can I filter news topics and exclude specific domains during an LLM web search?▼

Yes, you can filter news topics and exclude specific domains during an LLM web search. The skill supports topic filtering for general or news, alongside configurable domain inclusion and exclusion lists.

What is the best way to retrieve raw web content for an AI assistant?▼

The best way to retrieve raw web content for an AI assistant is using the raw content retrieval feature, which fetches full webpage data alongside standard search snippets and metadata scores.

How does an LLM-optimized web search differ from a traditional search engine?▼

An LLM-optimized web search differs from a traditional search engine by delivering structured content snippets and relevance scores specifically formatted for AI consumption, overcoming traditional search limitations.

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