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research-agent

Automate web research and extract structured intelligence from online sources.

66|15|Updated Mar 5, 2026
Search Tags:#data extraction#validation#firecrawl#web research#company intelligence#serperdev
One-click install
npx skills add https://github.com/LeadGrowGTM/research-process-builder --skill research-agent-leadgrowgtm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-agent
Source: https://github.com/LeadGrowGTM/research-process-builder/tree/main/.claude/skills/research-agent
Command: npx skills add https://github.com/LeadGrowGTM/research-process-builder --skill research-agent-leadgrowgtm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of collecting accurate, structured web intelligence by replacing inconsistent manual research with a validated research pipeline.

Core Features & Use Cases

  • Web Research Pipeline: Combines search, scraping, and AI extraction workflows to gather structured company and market data.
  • Validation Loop: Tests research outputs against ground truth, scores accuracy, and iterates on weak patterns to improve reliability.
  • Use Case: Use this Skill to discover company profiles, founders, competitors, hiring signals, funding events, and other business intelligence from web sources.

Quick Start

Use the research-agent skill to extract a structured company profile for the domain stripe.com and validate the results against ground truth.

Frequently Asked Questions about research-agent

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

FAQPage Schema
How do I automate web research to extract structured company intelligence?▼

Automate web research by combining search, scraping, and AI extraction workflows to gather structured company intelligence. This pipeline replaces manual data collection with a validated process to reliably extract founder profiles, competitors, and funding events.

What is the best way to validate web data extraction for business intelligence?▼

The best way to validate web data extraction is using a validation loop that tests research outputs against ground truth. This mechanism scores accuracy and iterates on weak patterns to ensure structured business intelligence is reliable.

Can I use this to scrape domains and detect hiring signals for competitive intelligence?▼

Yes, you can scrape domains to detect hiring signals and build competitive intelligence. The pipeline automates signal detection from web sources, extracting structured outputs for market and company research.

Does this web research pipeline require any specific dependencies or tools to function?▼

This web research pipeline operates without external dependencies, components, or tools. It integrates search, scraping, AI extraction, and validation workflows internally to produce structured data outputs.

Why does manual web research produce inconsistent structured data outputs?▼

Manual web research produces inconsistent structured data outputs due to human error and lack of validation. Automating the research pipeline with a ground truth validation loop ensures consistent, structured company and market intelligence.

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