search

Search the web and retrieve content via Tavily's LLM-optimized API.

1|1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/tavily-ai/tavily-cursor-plugin --skill search-tavily-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: search
Source: https://github.com/tavily-ai/tavily-cursor-plugin/tree/main/skills/search
Command: npx skills add https://github.com/tavily-ai/tavily-cursor-plugin --skill search-tavily-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows you to search the web and retrieve relevant information optimized for consumption by AI models, eliminating the need for manual web scraping or complex API integrations.

Core Features & Use Cases

  • Web Search: Perform searches on any topic using Tavily's LLM-optimized API.
  • Content Extraction: Retrieve content snippets, scores, and metadata for each search result.
  • Use Case: When you need to find the latest developments in a specific field or gather information for a report, use this Skill to get concise, relevant web results.

Quick Start

Search the web for 'python async patterns'.

Frequently Asked Questions about search

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

FAQPage Schema
How do I retrieve up-to-date web search results optimized for LLMs?

To retrieve up-to-date web search results optimized for LLMs, use this Skill to query the web via an LLM-optimized API. It returns concise content snippets and metadata, eliminating the need for manual web scraping or complex API integrations.

Can I filter web search results by domain and time range for AI processing?

You can filter web search results by domain and time range for AI processing using the Skill's built-in search parameters. It supports domain filtering and time range constraints to refine results specifically for your AI models.

What is the best way to get content summarization from the internet for research?

The best way to get content summarization from the internet for research is to perform searches using this web search API. It retrieves relevant information, content snippets, and metadata designed for direct consumption by AI models.

Does this web search API require manual web scraping to extract content?

This web search API does not require manual web scraping to extract content. It is designed to retrieve relevant information optimized for consumption by AI models, completely eliminating the need for manual scraping or complex integrations.

When do I need an LLM-optimized web search API instead of a standard search tool?

You need an LLM-optimized web search API instead of a standard search tool when your scenario requires gathering up-to-date information for AI processing. It provides concise, relevant web results with scores and metadata formatted for models.