tavily-search

Search the web and return LLM-optimized results with snippets and relevance scores.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily-search helps users rapidly find web information by returning LLM-optimized results with content snippets and relevance scores, streamlining information gathering for decision making.

Core Features & Use Cases

  • LLM-optimized web search results with content snippets and relevance scores
  • Domain filtering, time-range control, and multiple search depths
  • Use cases: gather articles, recent news, sources, and background information for research or planning

Quick Start

Use Tavily to search for "climate policy updates" and get JSON-formatted results.

Frequently Asked Questions about tavily-search

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

FAQPage Schema
How do I get LLM-optimized web search results with relevance scores for agent workflows?

To get LLM-optimized web search results, you can use this Skill to return content snippets and relevance scores formatted as structured JSON for downstream agents.

Can I filter web search results by domain and time range for research tasks?

You can filter web search results by domain and time range. This Skill applies domain filtering, time-range control, and multiple search depths to gather articles and sources for research.

Do I need the Tavily CLI installed to search the web and return JSON?

Yes, you need the Tavily CLI and tvly tool installed. These dependencies are required to perform the search and output structured JSON for downstream agents.

What is the best way to gather current news and background information for planning?

The best way to gather current news and background information for planning is using an LLM-optimized web search that returns content snippets with relevance scores, streamlining decision making.

What are the limitations of using LLM-optimized search for information gathering?

Limitations of using LLM-optimized search include dependency on the Tavily CLI and tvly tool. Results are constrained by selected search depths, domain filters, and time ranges.