research-process-builder

Generate and refine validated web research workflows for company intelligence goals.

66|15|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/LeadGrowGTM/research-process-builder --skill research-process-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-process-builder
Source: https://github.com/LeadGrowGTM/research-process-builder/tree/main/.claude/skills/research-process-builder
Command: npx skills add https://github.com/LeadGrowGTM/research-process-builder --skill research-process-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of unreliable manual web research by turning vague research goals into validated, repeatable processes that produce consistent intelligence.

Core Features & Use Cases

  • Research Workflow Generation: Creates step-by-step web research processes by generating, testing, scoring, and refining search patterns.
  • Accuracy Validation Loop: Uses sample company testing, quality scoring, consistency checks, and iteration to improve research reliability.
  • Use Case: A go-to-market team can use this Skill to build a repeatable competitor discovery workflow that agents can execute across companies with measured accuracy.

Quick Start

Use the research-process-builder skill to create a validated research process for finding competitor intelligence across target companies.

Frequently Asked Questions about research-process-builder

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

FAQPage Schema
How do I build a repeatable web research process for competitive intelligence?

Build a repeatable web research process by generating, testing, scoring, and refining search patterns for specific intelligence goals. This validates search workflows through sample company testing and iteration loops to produce consistent, agent-ready research instructions.

What is research automation for competitor analysis and how does it work?

Research automation for competitor analysis works by converting vague research goals into validated, repeatable search workflows. It applies structured pattern testing, quality scoring, and process assembly to ensure reliable intelligence gathering across target companies.

How do I validate search patterns to improve research reliability?

Validate search patterns by running sample company tests, applying quality scoring, and performing consistency checks. Use iteration loops to refine the search workflows until the process achieves measured accuracy for reliable agent execution.

Can I use this to automate market intelligence gathering across multiple companies?

Yes, you can automate market intelligence gathering across multiple companies. The process creates agent-ready research instructions designed for scale, allowing go-to-market teams to execute validated workflows for competitor discovery, hiring signals, and news discovery consistently.

What's the best way to structure agent workflows for company research?

Structure agent workflows for company research by assembling validated search patterns into step-by-step processes. Generate workflows for specific intelligence goals like reviews, profiles, and news discovery, then refine them through iteration loops to create reliable instructions.

Why does my manual web research produce inconsistent intelligence results?

Manual web research produces inconsistent results because it lacks validated search patterns and quality scoring. By generating structured research workflows with measured accuracy and consistency checks, you can turn vague goals into repeatable processes that yield reliable intelligence.