websearch-agent

Conducts web research and extracts pages into condensed Markdown summaries with images.

1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/LaZy-Wolf/MAIRA --skill websearch-agent-lazy-wolf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: websearch-agent
Source: https://github.com/LaZy-Wolf/MAIRA/tree/main/backend/skills/websearch-agent
Command: npx skills add https://github.com/LaZy-Wolf/MAIRA --skill websearch-agent-lazy-wolf

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of gathering comprehensive, non-academic information from the internet, condensing it into digestible summaries and relevant visuals.

Core Features & Use Cases

  • Comprehensive Web Research: Conducts multi-query searches to find up-to-date information.
  • Content Extraction & Condensation: Extracts key information from web pages and summarizes it concisely.
  • Image Discovery: Identifies and includes relevant images to enhance understanding.
  • Use Case: Researching the latest market trends for a new product, gathering information on competitor strategies, or finding visual examples for a design project.

Quick Start

Research recent developments in quantum computing, focusing on error correction and practical applications.

Frequently Asked Questions about websearch-agent

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

FAQPage Schema
How do I gather information and summarize web search results for market research?

To gather information and summarize web search results, this Skill conducts multi-query internet searches, extracts key webpage content, and returns condensed summaries with relevant images in Markdown format. It manages context automatically to prevent system crashes from oversized responses.

Can I extract webpage content and find relevant images for competitor analysis?

Yes, you can extract webpage content and discover relevant images for competitor analysis. The Skill utilizes the Tavily API to extract key information from web pages and identifies relevant visuals, returning both text summaries and images formatted in Markdown.

What is the best way to research recent developments without getting oversized responses?

The best way to research recent developments while avoiding oversized responses is using a Skill that manages context automatically. It conducts deep web research, condenses extracted webpage content into digestible summaries, and prevents system crashes by handling context limits.

Does this web search assistant work for non-academic information gathering tasks?

Yes, this web search assistant works specifically for non-academic information gathering tasks. It is designed to conduct deep web research for practical use cases like market research, competitor analysis, and visual content discovery using the Tavily API.

How do I start researching market trends and get results in Markdown format?

To start researching market trends, provide a research prompt such as requesting recent developments in a specific field. The Skill conducts multi-query internet searches, extracts webpage content, and returns condensed summaries with relevant images formatted in Markdown.

What are the limitations of using Tavily API for deep web research?

A key limitation when using Tavily API for deep web research is the risk of oversized responses causing system crashes. The Skill mitigates this by managing context, but it is limited to non-academic information gathering, content extraction, and image discovery tasks.