Ideal Customer Profile Skill

This is an AI-agnostic research workflow for creating evidence-backed Ideal Customer Profiles with segmentation, buying triggers, journey stages, decision criteria, and validation gaps.

The skill is portable across AI tools. Use it with ChatGPT, Claude, Gemini, Perplexity, Manus, Codex, Cursor, local models, browser-based research, note-taking systems, spreadsheets, or manual research.

What It Helps With

• Define the best-fit customer segment for a product or service
• Separate ICPs from general users, buyers, influencers, and edge cases
• Analyze demographics, firmographics, psychographics, pains, motivations, and buying constraints
• Map customer journey stages from awareness through retention
• Turn research into actionable GTM, product, and sales implications

Why It Exists

Research templates are useful, but assistants often fill them with plausible-sounding generalities unless they are forced to track evidence, assumptions, gaps, and strategic implications. This skill turns the source template into an operating workflow: gather the right inputs, structure the research, mark uncertainty, and produce an artifact that can guide real decisions.

Repository Contents

.
|-- SKILL.md
|-- README.md
|-- assets/
|   `-- ideal-customer-profile-banner.png
|-- agents/
|   `-- openai.yaml
`-- references/
    `-- source-template.md

• SKILL.md is the installable skill.
• references/source-template.md preserves the original Nessie template that inspired the workflow.
• agents/openai.yaml is optional UI metadata for OpenAI/Codex-style skill surfaces.

Quick Start

Give an assistant the contents of SKILL.md, then ask it to produce or improve the research artifact.

Example:

Use the Ideal Customer Profile skill to turn the notes below into a clear, evidence-backed research artifact. Mark assumptions and gaps instead of inventing facts.

For tools that support skill folders, install or copy this folder into the tool's skills directory and invoke:

Use $ideal-customer-profile to create an evidence-backed ICP for this product.

Recommended Process

1. Clarify the product, audience, market, and decision the research should support.
2. Gather supplied material and current external sources when available.
3. Separate evidence from assumptions.
4. Draft the research artifact using the skill's output sections.
5. Audit the artifact for unsupported claims, vague categories, stale data, and missing next steps.

GitHub Description

AI-agnostic research skill for creating evidence-backed ideal customer profiles, segments, journeys, and buying criteria.

Suggested GitHub Topics

ai, ai-agents, research, market-research, customer-research, ideal-customer-profile, icp, segmentation, go-to-market, gtm, customer-development, persona, sales, marketing, prompt-engineering, ai-skills

Source Inspiration

This package was created from the shared Nessie context ICP Template, then rewritten as portable, AI-agnostic agent instructions.

License

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