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tavily-search

Search the web via Tavily CLI with domain filters and time ranges.

Updated Mar 20, 2026
Search Tags:#llm#news#web-search#time-range#information-retrieval#tavily#domain-filtering
One-click install
npx skills add https://github.com/gongye19/manu-agno --skill tavily-search-gongye19
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily-search
Source: https://github.com/gongye19/manu-agno/tree/main/.skills/tavily-search
Command: npx skills add https://github.com/gongye19/manu-agno --skill tavily-search-gongye19

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily-search enables fast, reliable web discovery by orchestrating the Tavily CLI to fetch relevant, up-to-date information from the web. It returns content snippets, relevance scores, and metadata to feed LLMs for informed decision making.

Core Features & Use Cases

  • Web search with the Tavily CLI to retrieve current information, articles, and sources.
  • Domain filtering, time-range filtering, and multiple search depths to tailor results for research, competitive intelligence, or news monitoring.
  • Use Case: You need the latest developments on a topic and want structured results suitable for downstream summarization and extraction.

Quick Start

Run a web search with Tavily to retrieve the latest articles on a topic and return structured 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 using Tavily?▼

LLM-optimized web search results are retrieved by orchestrating the Tavily CLI to fetch current information, content snippets, and relevance scores. This structured output feeds directly into language models for informed decision making.

How do I filter web search results by domain and time range?▼

Domain filtering and time-range filtering are applied directly through the Tavily CLI parameters. This allows you to tailor web search results for specific research, competitive intelligence, or news monitoring scenarios.

Can I control the search depth for information retrieval with Tavily?▼

Multiple search depths are supported to fit various research scenarios. Depth control allows you to balance the comprehensiveness of web search results against processing time when gathering information.

Does Tavily web search return JSON-friendly output for downstream processing?▼

Tavily web search returns JSON-friendly output containing content snippets, relevance scores, and metadata. This structured format is specifically designed for downstream summarization and extraction tasks.

What is the best way to gather recent news for AI-assisted research?▼

Gathering recent news for AI-assisted research is done by executing a web search via the Tavily CLI. It retrieves up-to-date articles and sources, returning structured results suitable for topic discovery and monitoring.

When do I need a CLI-based web search tool for information retrieval?▼

A CLI-based web search tool is needed when you require fast, reliable web discovery with structured metadata. It satisfies operational requirements for LLM integration, including domain filtering, depth control, and JSON output.

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