factory-research

Synthesize web research from multiple sources into structured reports.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/JongHyunLee84/factory --skill factory-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: factory-research
Source: https://github.com/JongHyunLee84/factory/tree/main/skills/factory-research
Command: npx skills add https://github.com/JongHyunLee84/factory --skill factory-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of gathering and synthesizing information from the web, saving you hours of manual research and analysis.

Core Features & Use Cases

  • In-depth Topic Research: Conduct deep dives into single subjects or broad explorations across multiple topics.
  • Automated Data Fetching: Utilizes advanced tools to scrape websites, handle JavaScript rendering, and bypass bot protections.
  • Use Case: You need to understand the competitive landscape for a new AI product. This Skill can research market trends, identify key competitors, analyze their offerings, and summarize findings into a comprehensive report.

Quick Start

Use the factory-research skill to research the topic of 'vector databases for LLMs'.

Frequently Asked Questions about factory-research

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

FAQPage Schema
How do I automate web research and synthesize information from multiple sources into a structured report?

Automated web research uses tools like WebFetch, WebSearch, Firecrawl, and Scrapling to scrape websites and synthesize information from multiple sources into structured reports. It handles single-topic deep dives and multi-topic parallel research workflows.

What is the best way to gather market analysis and uncover tech landscape insights?

Gathering market analysis involves performing comprehensive web research on specified topics to uncover market insights and tech landscapes. This automated data synthesis identifies competitors, analyzes offerings, and summarizes findings into a comprehensive report.

Can web scraping tools bypass bot protections and handle JavaScript rendering for data gathering?

Web scraping tools can handle JavaScript rendering and bypass bot protections during data gathering. Advanced fetching tools like Firecrawl and Scrapling acquire data from complex, protected websites for technical research.

Does parallel research workflow support multi-topic data synthesis or only single-topic deep dives?

Parallel research workflow supports both multi-topic data synthesis and single-topic deep dives. This flexibility allows you to conduct broad explorations across multiple topics or focus comprehensive research on a single specified subject.

How to research the competitive landscape for a new product and analyze competitor offerings?

Researching the competitive landscape requires automating information gathering to research market trends, identify key competitors, and analyze their offerings. The synthesized data summarizes findings into a comprehensive report for new products.