research

Perform multi-agent web research and extract content from diverse sources.

5|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/oldwinter/skills --skill research-oldwinter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/oldwinter/skills/tree/main/lenny-skills/product-skills/research
Command: npx skills add https://github.com/oldwinter/skills --skill research-oldwinter

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex research tasks by intelligently gathering and synthesizing information from various online sources, overcoming common challenges like bot detection and CAPTCHAs.

Core Features & Use Cases

  • Multi-Agent Research: Leverages multiple AI agents (Claude, Gemini, Grok) for diverse perspectives.
  • Advanced Retrieval: Employs a layered approach (WebFetch, BrightData, Apify) to bypass site protections and retrieve difficult content.
  • Deep Analysis: Offers specialized workflows for extracting high-alpha insights, analyzing trends, and preparing for interviews.
  • Use Case: A product manager needs to understand the competitive landscape for a new feature. This Skill can perform extensive research, synthesize findings from multiple AI agents, and present a comprehensive report with verified URLs.

Quick Start

Use the research skill to perform a quick research on the latest advancements in quantum computing.

Frequently Asked Questions about research

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

FAQPage Schema
How do I extract web content and bypass bot protection for research?

To extract web content and bypass bot protection, this research capability employs a layered retrieval system using WebFetch, BrightData, and Apify to overcome CAPTCHAs and bot detection, gathering data from diverse online sources.

Can I use multiple AI agents for comprehensive information retrieval and trend analysis?

Yes, comprehensive information retrieval leverages multiple AI agents including Claude, Gemini, and Grok to provide diverse perspectives. This multi-agent system synthesizes information for specialized workflows like trend analysis and deep insight extraction.

What's the best way to synthesize competitive landscape research for product management?

The best way to synthesize competitive landscape research is using a multi-agent retrieval system that gathers and verifies data from various online sources. It generates a comprehensive product management report with verified URLs, streamlining complex research tasks.

Does this web scraping and content analysis approach work for interview preparation?

Yes, web scraping and content analysis supports specialized workflows for interview preparation. It performs comprehensive web research using a multi-agent system to intelligently gather, extract, and synthesize relevant information from diverse online sources.

How does multi-agent web research handle complex queries and site protections?

Multi-agent web research handles complex queries by employing a layered retrieval approach to bypass site protections. It uses multiple AI agents to perform comprehensive extraction, synthesizing diverse information into verified reports.

Are there limitations to using AI agents for web scraping and information retrieval?

While multi-agent information retrieval bypasses many bot protections and CAPTCHAs, highly restricted sites may still block access. The system relies on combining Claude, Gemini, and Grok with BrightData and Apify to mitigate these web scraping limitations.