web_search

Perform web searches via Tavily API and return structured results.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/vansyson1308/agentnet --skill web-search-vansyson1308
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web_search
Source: https://github.com/vansyson1308/agentnet/tree/main/skills/web_search
Command: npx skills add https://github.com/vansyson1308/agentnet --skill web-search-vansyson1308

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web searching is time-consuming and often yields noisy results; this skill centralizes web queries through Tavily API to return structured results quickly.

Core Features & Use Cases

  • Web search via Tavily API to fetch current information
  • Supports a limit parameter to cap results
  • Use Case: build a lightweight research assistant that gathers top results for a given query and presents them clearly

Quick Start

Use a query like "latest AI breakthroughs" to retrieve the top results via Tavily API.

Frequently Asked Questions about web_search

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

FAQPage Schema
How do I get structured web search results via API for a research query?

Structured web search results are returned via the Tavily API by submitting a query and an optional limit parameter. This centralizes information retrieval to deliver clean results quickly for research lookups.

Do I need a Tavily API key to perform web searches?

A Tavily API key is required from the environment to perform web searches. You must configure this key before the skill can accept query inputs and return structured results.

Can I cap the number of web search results returned for a single query?

You can cap web search results using the limit parameter when submitting your query. This constrains the output to your desired number of structured results from the Tavily API.

What is the best way to retrieve current information for a lightweight research assistant?

Using a Tavily-powered web search is the best way to retrieve current information for a research assistant. It fetches top results across diverse topics and outputs a structured object for clear presentation.

Why use a Tavily API integration instead of standard web search for information retrieval?

A Tavily API integration solves the problem of noisy results by returning structured data quickly. This bypasses the time-consuming manual filtering often required by standard web search.