market-segments

market-segments is a skill for Claude Code from phuryn/pm-skills. It costs 45 tokens per session (743 once invoked), scanned A, original, MIT.

A market-research workflow for identifying three to five distinct customer groups and describing their needs and fit for a product. Customer segments are groups of potential buyers who share relevant traits, behaviours, or needs.

In plain words
What is it for?
Use it to define segments, describe their jobs-to-be-done and desired outcomes, identify pain points, and assess market opportunities or target audiences.
Why use it?
It replaces a broad view of the market with clearer groups that can be compared and prioritised. It helps reveal which audiences may have the strongest product fit.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the pm-market-research plugin — 7 skills, 3 commands shipped together

Good fit Use it to define segments, describe their jobs-to-be-done and desired outcomes, identify pain points, and assess market opportunities or target audiences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phuryn/pm-skills/market-segments
About the project

phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.

phuryn/pm-skills · 27,745 stars · on GitHub · productcompass.pm

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add phuryn/pm-skills --skill market-segments
Clone the repo
git clone --depth 1 https://github.com/phuryn/pm-skills

Made for: Claude Code.

Or install pm-market-research, the plugin that ships this one along with the rest of its 7 skills, 3 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for market-segments

README.md
[![agentmods](https://agentmods.dev/badge/skills/phuryn/pm-skills/market-segments/github.svg)](https://agentmods.dev/skills/phuryn/pm-skills/market-segments)
Your own site
<a href="https://agentmods.dev/skills/phuryn/pm-skills/market-segments"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/market-segments/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for market-segments

Your own site · 80×15
<a href="https://agentmods.dev/skills/phuryn/pm-skills/market-segments"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/market-segments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00743
Opus 5.5 $0.00018 $0.00297
Sonnet 5.5 $0.00009 $0.00149
Haiku 4.5 $0.00005 $0.00074

Measured 1mo ago against content hash f8425da0486d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

market-segments scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

pm-market-research/skills/market-segments/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 81 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 81 lines · 45 tokens per session scan A f8425da0486d

Subscribe to this mod's changes

market-segments is a skill published in the GitHub repository phuryn/pm-skills (27,745 stars, last pushed 9d ago), licensed MIT. It adds 45 tokens to every session and 743 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.

Related

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