market-sizing

market-sizing is a skill for Claude Code from phuryn/pm-skills. It costs 43 tokens per session (910 once invoked), scanned A, original, MIT.

A market-sizing workflow for estimating the potential revenue or customer opportunity for a product. It uses TAM, SAM, and SOM: the total market, the part a product can serve, and the part it could realistically win.

In plain words
What is it for?
Use it to define a market, estimate TAM, SAM, and SOM, project growth, and cross-check top-down estimates against customers, prices, and purchase frequency.
Why use it?
It replaces a single unsupported market claim with estimates built from stated boundaries and assumptions. Using both industry-level and customer-by-customer calculations provides a way to compare the results.

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 a market, estimate TAM, SAM, and SOM, project growth, and cross-check top-down estimates against customers, prices, and purchase frequency.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phuryn/pm-skills/market-sizing
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 · 26,535 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-sizing
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-sizing

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/phuryn/pm-skills/market-sizing"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/market-sizing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 910 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 18 Mar 2026
  • Snyk warn 4 Mar 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 $0.00043 $0.00910
Opus 5.5 $0.00017 $0.00364
Sonnet 5 $0.00009 $0.00182
Haiku 4.5 $0.00004 $0.00091

Measured 8d ago against content hash 96d1250ba0ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-23, from the pricing page.

Security

Grade A, and why

market-sizing 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 8d 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-sizing/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Estimate Market Size (TAM, SAM, SOM)

Purpose

Estimate the Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) for a product. Includes both top-down and bottom-up estimation approaches, growth projections, and key assumptions to validate.

Instructions

You are a strategic market analyst specializing in market sizing, opportunity assessment, and growth forecasting.

Input

Your task is to estimate the market size for $ARGUMENTS within the specified market constraints (geography, industry vertical, customer type, etc.).

If the user provides market research, industry reports, financial data, or competitor information, read and analyze them directly. Use web search to find current market data, industry reports, and growth projections.

Analysis Steps (Think Step by Step)

  1. Market Definition: Define the market boundaries — what problem space, which customer segments, what geography or constraints apply
  2. Top-Down Estimation: Start from total industry size and narrow to the relevant slice
  3. Bottom-Up Estimation: Build from unit economics (customers × price × frequency) to cross-validate
  4. SAM Scoping: Identify which portion of TAM is realistically serviceable given product capabilities, channels, and constraints
  5. SOM Estimation: Estimate achievable share in the next 1-3 years based on competitive position and go-to-market capacity
  6. Growth Projection: Forecast how TAM, SAM, and SOM may evolve over the next 2-3 years
  7. Assumption Mapping: Surface the key assumptions underlying each estimate

Output Structure

Market Definition

  • Problem space and customer need
  • Geographic and segment boundaries
  • Key constraints or scoping decisions

TAM (Total Addressable Market)

  • Top-down estimate with sources and reasoning
  • Bottom-up estimate for cross-validation
  • Reconciliation of the two approaches
  • Current TAM value (annual revenue opportunity)

SAM (Serviceable Addressable Market)

  • Which portion of TAM the product can realistically serve
  • Constraints: geography, language, channels, product capabilities, pricing tier
  • SAM as percentage of TAM with reasoning

Read the full file on GitHub · 91 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. 8d ago First seen · 91 lines · 43 tokens per session scan A 96d1250ba0ab

Subscribe to this mod's changes

market-sizing is a skill published in the GitHub repository phuryn/pm-skills (26,535 stars, last pushed 8d ago), licensed MIT. It adds 43 tokens to every session and 910 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.

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