Agent skill · Documentation

icp-research

Scrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation. Produces TAM analysis, firmographic segments, champion and economic buyer personas, use case mapping, customer proof points, and voice-of-customer synthesis with normalized attributes. Requires website URL as primary input. product-messaging, landing-page-copy, content-strategy, and outreach-emails.

growthack88github.com/growthack88GitHub ↗
claude-codeMIT
Install
npx skills add growthack88/growth-marketing-os --skill icp-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 17 KB
Bundled scripts: none
Version: 4.2
Declared author: genesys-growth
Path: skills/community/icp-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 70
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

<!-- COMMUNITY SKILL — included under its original MIT license. Source: https://github.com/matteotitta/genesys-skills by Matteo Titta (MIT). License text: ../LICENSE-genesys-skills.txt Curated into Growth Marketing OS by Mahmoud Omar (mahmoudomar.com) — this file is NOT original work by the repo author; see /skills/community/README.md. --> # ICP research skill Generate ideal customer profiles for B2B SaaS clients through systematic research and structured output. ## Report structure The final ICP report follows this numbered section order: | Section | Purpose | |---------|---------| | Header | Research date, website, category, confidence score (1-5) | | 1. Executive summary | High-level synthesis of findings and strategic recommendations | | 2. TAM analysis | Market sizing with targeting strategy per layer (TAM/SAM/SOM/ICP) | | 3. Firmographics analysis | Geographic, industry, company segment patterns, and technographics | | 4. Roles and personas | Core use case, Champion deep-dive, Economic Buyer deep-dive, buying journey | | 5. Negative ICP | Who is NOT a fit, disqualification criteria, and red flags | | 6. Customer proof points | Named customers, outcomes, and evidence with URLs

What's inside
Steps it walks through
  1. Report structure
  2. Output dimensions
  3. TAM analysis
  4. Firmographics
  5. Technographics
  6. Personas
  7. Negative ICP
  8. Intent signals and buying triggers
  9. Sorting rules
  10. Rich description requirements
  11. Minimum requirements
  12. Paragraph quality checklist
  13. Workflow
  14. Phase 1: Data extraction
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About this skill
What does the icp-research skill do?

Scrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation. Produces TAM analysis, firmographic segments, champion and economic buyer personas, use case mapping, customer proof points, and voice-of-customer synthesis with normalized attributes. Requires website URL as primary input. product-messaging, landing-page-copy, content-strategy, and outreach-emails.

How do I install it?

Run `npx skills add growthack88/growth-marketing-os --skill icp-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From growthack88/growth-marketing-os, a repository with 70 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going