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Icp Definition

Community
Productfculty-aipm
icp-definition

Use this skill when the user asks to "define our ICP", "ideal customer profile", "who is our best customer", "who should we target", "which customers should we focus on", "who buys fastest", "who gets the most value", "find our ICP", or wants to identify the specific type of customer most likely to buy, succeed, and expand.

Overview

PublisherProductfculty-aipm
RepositoryPM-Copilot-by-Product-Faculty
Skill nameicp-definition
Stars
80
Forks
34
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Productfculty-aipm on GitHub. Read the source before you install it.

Installation

Install the Icp Definition AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/icp-definition
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty.git /tmp/PM-Copilot-by-Product-Faculty
mkdir -p .claude/skills
cp -r /tmp/PM-Copilot-by-Product-Faculty/skills/icp-definition .claude/skills/icp-definition
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Icp Definition in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Icp Definition on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Icp Definition is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ICP Definition — Ideal Customer Profile

You are helping the user define their Ideal Customer Profile — the specific type of customer who gets the most value, converts fastest, expands most, and churns least. ICP is not about who you want to sell to — it's about who is naturally drawn to you and succeeds with you.

Framework: April Dunford (beachhead ICP), Lenny Rachitsky (B2B GTM guide), JTBD demand-side thinking.

Key principle: The ICP is discovered, not invented. Look at your best existing customers to find it.

Step 1 — Load Context

Read memory/user-profile.md for product stage, business model, existing customer context. Read context/product/personas.md for existing persona definitions.

Step 2 — Analyze Best Existing Customers (if applicable)

If the product has existing customers, start with the best ones:

Define "best": Customers who: (1) pay the most or expand fastest, (2) churn least, (3) see the fastest time to value, (4) refer others, (5) give the best product feedback.

For the top 10–20 "best" customers, look for patterns:

  • Firmographics: Industry, company size, geography, funding stage, team size
  • Role of buyer: Who initiated the purchase? Who was the champion? Who signed?
  • Trigger: What happened before they bought? What changed that made them look?
  • Outcome: What result did they achieve? How do they describe success?
  • Time to value: How quickly did they activate? How quickly did they see ROI?

Step 3 — ICP Dimensions

For each dimension, identify the sweet spot (not the full range — the narrow band where your best customers concentrate):

Industry / Vertical: Which industries get the most value? Are there industries where value is structural (e.g., compliance requirements make our product essential)?

Company size: Where is the sweet spot? (Size affects: budget, decision-making speed, sophistication, need for integration)

Stage: Series A? Bootstrapped? Enterprise? Each has different buying behavior, budget cycles, and value drivers.

Geographic: Any concentration? Regulatory environment that makes value higher in some regions?

Team characteristics: Which team composition makes the product work best? (e.g., "companies with at least 1 PM and at least 5 engineers")

Trigger event: What must have happened recently for a company to be ready to buy? (Job change, funding round, reorg, new competitive pressure, hitting a growth stage)

Tech stack: What other tools do ICP customers use that signal readiness? (e.g., "uses Linear or Jira" = our integration adds immediate value)

Step 4 — ICP Profile

Write the ICP profile:

Company-level ICP:

  • Industry: [Specific vertical(s)]
  • Size: [Employee range or ARR range]
  • Stage: [Funding stage or growth stage]
  • Geography: [If relevant]
  • Tech stack signals: [What tools indicate readiness]
  • Trigger event: [What must have recently happened]

Contact-level ICP (the champion and buyer):

  • Champion role: [Who gets value and advocates internally]
  • Buyer role: [Who has budget authority — may be different from champion]
  • Champion pain: [What the champion is struggling with that our product solves]
  • Buyer motivation: [What the buyer cares about — ROI, risk reduction, team capability]

Step 5 — Anti-ICP

Define who is NOT a good fit:

  • Which segment looks similar but churns fast?
  • Which segment buys but takes too much support?
  • Which segment takes too long to close?

This is as important as the ICP — it saves sales and CS time, and prevents the product from drifting toward the wrong segment.

Step 6 — ICP Scoring Criteria

For use in sales and marketing qualification, create an ICP score:

CriterionWeightScoring
[Key ICP dimension 1][%]Yes = full points; No = 0
[Key ICP dimension 2][%]Yes = full points; Partial = half
Trigger event present[%]Yes = full points; No = 0
Champion identified[%]Yes = full points; No = 0

Total score ≥ 75% = strong ICP fit; 50–75% = marginal; < 50% = poor fit

Step 7 — Output

Produce:

  • ICP profile (company-level + contact-level)
  • Anti-ICP profile
  • ICP scoring criteria for sales qualification
  • Top 3 signals that quickly identify an ICP customer in the field
  • Offer to update context/product/personas.md and memory/user-profile.md with ICP findings

Frequently asked questions

What does the Icp Definition AI skill do?

Use this skill when the user asks to "define our ICP", "ideal customer profile", "who is our best customer", "who should we target", "which customers should we focus on", "who buys fastest", "who gets the most value", "find our ICP", or wants to identify the specific type of customer most likely to buy, succeed, and expand.

Why use Icp Definition on TypingMind?

Because you install it once and use it with any model. Icp Definition is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Icp Definition in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/icp-definition. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Icp Definition?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Icp Definition?

As many as you like. As long as a model supports skills, you can use Icp Definition with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Icp Definition AI skill free?

It is published on GitHub by Productfculty-aipm. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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