tavily_search

Search the web in real time via the Tavily API.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/CK991357/gemini-chat --skill tavily-search-ck991357
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily_search
Source: https://github.com/CK991357/gemini-chat/tree/main/src/skills/tavily_search
Command: npx skills add https://github.com/CK991357/gemini-chat --skill tavily-search-ck991357

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

用户在需要获取最新信息、验证事实或进行主题研究时,往往需要快速、可信的网络信息。Tavily Search 通过 Tavily API 提供实时网络搜索能力,将最新结果引入对话上下文,提升回答准确性。

Core Features & Use Cases

  • Real-time information retrieval: 通过 Tavily API 获取当前数据与来源,支持即时决策与研究。
  • Quick fact verification: 对需要最新数据的问题进行事实核验与对比。
  • Research assistance: 汇总背景信息、趋势分析与主题研究要点,辅助深入探索。

Quick Start

使用 Tavily Search 执行网络搜索,输入具体查询即可获取 Tavily API 的实时结果。示例:tool_name: tavily_search,parameters: {"query": "最新 Tavily API 更新"}

Frequently Asked Questions about tavily_search

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

FAQPage Schema
How do I perform real-time web search to retrieve up-to-date information for research?

Real-time web search via the Tavily API retrieves current data and sources by accepting a simple query parameter. It fetches up-to-date information suitable for immediate inclusion in your conversational context.

Can I use Tavily Search for quick fact verification?

Yes, fact verification is supported by querying the Tavily API for current data. It retrieves real-time web search results to verify facts and compare the latest information.

What is the best way to get current data for topic research and background summaries?

Using Tavily Search for research assistance aggregates background information, trend analysis, and topic highlights. It queries the Tavily API to return real-time web search results for deep exploration.

Do I need any external dependencies or components to use this web search functionality?

No external dependencies or components are required. The web search functionality operates solely by sending a query parameter to the Tavily API and returning results directly into your context.

How do I format the query parameter to retrieve information from the Tavily API?

Format the query by specifying the tool name as tavily_search and providing a parameters object containing a query string. This triggers the Tavily API to return real-time web search results.