What is the ICP Builder skill for Claude Code?

It is a specialized plugin designed to guide builders through the process of defining their Ideal Customer Profile (ICP) using structured sprints and automated research.

What is 'emotional bedrock' in the context of this skill?

Emotional bedrock refers to the deepest, most visceral pain point a customer feels, such as fear of failure or professional embarrassment, which goes beyond surface-level process problems.

Can I use this for B2B products?

Yes, the skill includes specific conditional logic for B2B personas, including identifying role-based KPIs and reporting structures.

Does it require specific tools to be enabled?

The skill utilizes Read, Write, WebSearch, and Task tools to perform its discovery and automated research functions.

How does the research phase work?

The skill launches parallel task agents that search the web for evidence of customer pain, existing solutions, and specific communities where the target audience hangs out.

ICP Builder

Name: ICP Builder
Author: adidacta

byadidacta

•

マーケティングオートメーション

Defines and validates your Ideal Customer Profile using a structured five-phase research framework to achieve product-market fit.

The ICP Builder is a strategic mentoring skill designed to help developers and product founders identify their most valuable users. By moving beyond surface-level demographics, it utilizes the '5 Whys' technique to uncover emotional pain points, generates three distinct customer hypotheses, and launches parallel research agents to find real-world evidence for each persona. This ensures that product development is rooted in validated market needs and visceral customer pains rather than guesses, providing a data-backed foundation for your PMF context layer.

主な機能

01Parallel research agents for evidence-based hypothesis scoring

02Comprehensive mapping of persona channels and self-recognition language

03Emotional bedrock discovery via automated 5 Whys drilling

04Structured 5-phase PMF validation workflow (Context to Selection)

0516 GitHub stars

06Comparative scoring for pain intensity, accessibility, and evidence strength

ユースケース

01Validating market demand and finding active communities for specific niches

02Refining marketing and outreach strategies through deep persona research

03Identifying high-intent target audiences for a new startup or product idea

主な機能

01Parallel research agents for evidence-based hypothesis scoring

02Comprehensive mapping of persona channels and self-recognition language

03Emotional bedrock discovery via automated 5 Whys drilling

04Structured 5-phase PMF validation workflow (Context to Selection)

0516 GitHub stars

06Comparative scoring for pain intensity, accessibility, and evidence strength

ユースケース

01Validating market demand and finding active communities for specific niches

02Refining marketing and outreach strategies through deep persona research

03Identifying high-intent target audiences for a new startup or product idea