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tavily

Perform AI-optimized web searches via the Tavily API with structured results and summaries.

Updated Aug 23, 2026
Search Tags:#research#information retrieval#ai#llm#search#news#web
One-click install
npx skills add https://github.com/laoye2020/openclaw-workspace-clean --skill tavily-laoye2020
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/laoye2020/openclaw-workspace-clean/tree/main/skills/tavily
Command: npx skills add https://github.com/laoye2020/openclaw-workspace-clean --skill tavily-laoye2020

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tavily-python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides AI-optimized web search results, delivering clean, structured data and AI-generated summaries directly usable by LLMs, eliminating the need for manual parsing and synthesis of raw search engine output.

Core Features & Use Cases

  • Comprehensive Web Research: Access up-to-date information on any topic.
  • AI-Generated Answers: Get concise summaries of search results.
  • Structured Data: Results are pre-formatted for easy LLM consumption.
  • Domain Filtering: Focus searches on specific, trusted websites or exclude irrelevant ones.
  • News & Image Search: Tailor results for current events or visual content.
  • Use Case: When researching a complex topic like "advancements in renewable energy," use this Skill to get a summarized answer and links to authoritative sources, saving you time from sifting through generic search results.

Quick Start

Use the tavily skill to search for 'latest AI developments' and get a summarized answer.

Frequently Asked Questions about tavily

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

FAQPage Schema
How do I get AI-optimized web search results for LLM consumption?▼

AI-optimized web search results for LLMs are obtained by using the Tavily API to fetch structured data and AI-generated summaries. This eliminates manual parsing of raw search engine output.

Can I filter web searches to specific domains for fact-checking?▼

Domain-specific filtering is supported to focus searches on trusted websites or exclude irrelevant ones. This allows targeted research and current event monitoring using the Tavily API.

What is the best way to retrieve current news and images for LLM research?▼

News and image search modes are available to tailor results for current events or visual content. This provides up-to-date, LLM-consumable web content for fact-checking tasks.

Does the tavily-python dependency require manual parsing of search results?▼

Manual parsing is not required as the tavily-python dependency returns pre-formatted structured data. Results are delivered with optional AI-generated summaries directly usable by LLMs.

What search modes are available for information retrieval with LLMs?▼

Information retrieval modes include basic, advanced, news-focused, and domain-specific filtering. These modes support LLM-driven research and fact-checking tasks requiring up-to-date web content.

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