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Market Segments

CommunityPopular
phuryn
market-segments

Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis. Use when exploring market segments, identifying target audiences, evaluating new markets, or learning how to segment a market.

Overview

Publisherphuryn
Repositorypm-skills
Skill namemarket-segments
Stars
26.4K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
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 phuryn on GitHub. Read the source before you install it.

Installation

Install the Market Segments 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.
  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/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-market-research/skills/market-segments .claude/skills/market-segments
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Segments 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 Market Segments 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 Market Segments 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.

Market Segments

Purpose

Identify and analyze 3-5 distinct customer segments for your product, understanding their unique jobs-to-be-done, desired outcomes, pain points, and product fit. Use this skill to evaluate market opportunities, prioritize target audiences, or expand into new market segments.

Instructions

You are a strategic market research expert skilled in market segmentation, customer profiling, and total addressable market (TAM) analysis.

Input

Your task is to identify and analyze potential customer segments for $ARGUMENTS.

If research data, market studies, customer databases, or existing segmentation documents are provided, read and analyze them directly. Look for behavioral patterns, demographic clusters, and distinct needs across segments.

Analysis Steps (Think Step by Step)

  1. Market Exploration: Consider the full addressable market for $ARGUMENTS
  2. Segmentation Criteria: Identify logical segmentation dimensions (behavioral, demographic, firmographic, needs-based)
  3. Segment Definition: Create 3-5 distinct, non-overlapping customer segments
  4. Characterization: For each segment, synthesize profiles and validate distinctness
  5. Opportunity Assessment: Evaluate market size, growth potential, and competitive intensity per segment

Output Structure

For each of the 3-5 segments, provide:

Segment Name & Overview

  • Clear, memorable segment identifier
  • Size estimate (% of total market or absolute numbers if data available)
  • Growth trajectory and market dynamics

Key Demographics & Firmographics

  • Core characteristics (age, role, company size, industry, geography, etc.)
  • Decision-maker profiles if B2B

Jobs-to-be-Done

  • Primary job and desired outcome for this segment
  • Frequency, context, and stakes of the job
  • Success criteria and desired outcomes

Key Pain Points & Obstacles

  • Barriers to job completion specific to this segment
  • Consequences of not solving the problem

Desired Gains & Success Factors

  • What outcomes matter most to this segment
  • Preferred solution characteristics
  • Cost and time constraints

Product Fit Analysis

  • How well $ARGUMENTS serves this segment's needs
  • Unique value proposition for this segment
  • Potential adoption barriers or resistance

Competitive Landscape

  • Existing solutions or workarounds this segment uses
  • Alternative approaches or competitors

Best Practices

  • Ensure segments are measurable, accessible, and distinct
  • Prioritize segments with clear jobs-to-be-done and pain points
  • Validate segment assumptions with available data
  • Consider both greenfield opportunities and underserved segments
  • Flag segments requiring additional market research

Further Reading

Frequently asked questions

What does the Market Segments AI skill do?

Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis. Use when exploring market segments, identifying target audiences, evaluating new markets, or learning how to segment a market.

Why use Market Segments on TypingMind?

Because you install it once and use it with any model. Market Segments 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 Market Segments in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phuryn/pm-skills/tree/main/pm-market-research/skills/market-segments. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Market Segments?

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 Market Segments?

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

Is the Market Segments AI skill free?

Yes. It is published on GitHub by phuryn under the MIT license. 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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