size-market

Produce a market-sizing.md with TAM, SAM, SOM, and G3 sub-segments.

7|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Agent-Engineer-Master/skill-engineer --skill size-market
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: size-market
Source: https://github.com/Agent-Engineer-Master/skill-engineer/tree/main/strategy/industry-analysis/size-market
Command: npx skills add https://github.com/Agent-Engineer-Master/skill-engineer --skill size-market

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill helps teams produce a defensible, multi-source market size (TAM/SAM/SOM) for a defined industry or sub-segment using McKinsey G3 granular-growth decomposition plus a arenas qualification screen.

Core Features & Use Cases

  • Top-down + bottom-up triangulation with explicit de-averaging and provenance tagging on every numeric claim.
  • Generates a market-sizing.md that includes TAM/SAM/SOM, ≥3 G3 sub-segments, currency, year, and sources.
  • Supports scenario planning and next-skills orchestration for phase 2 automation, enabling rapid sizing of new domains.

Quick Start

Run the size-market skill on a defined industry to produce market-sizing.md with TAM/SAM/SOM, at least 3 G3 sub-segments, and explicit de-averaging.

Frequently Asked Questions about size-market

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate TAM, SAM, and SOM for a specific industry segment?

You can calculate TAM, SAM, and SOM by applying top-down and bottom-up triangulation to a defined industry. This approach uses G3 granular growth decomposition with explicit de-averaging and provenance tagging to produce a defensible market-sizing.md output.

What is G3 granular growth decomposition in market sizing?

G3 granular growth decomposition is a market-sizing technique that breaks down a defined industry into at least three granular sub-segments. It enables explicit de-averaging and provenance tagging across these sub-segments to build a defensible, multi-source market size.

How do I triangulate market sizing data using top-down and bottom-up approaches?

Triangulating market sizing data involves applying both top-down and bottom-up methods to cross-validate numeric claims. This skill automates that triangulation while applying explicit de-averaging and arenas qualification screening across sub-segments to generate a reliable market size.

Can I use this market sizing skill for scenario planning across new domains?

Yes, you can use this market sizing skill for scenario planning and rapid sizing of new domains. It supports next-skills orchestration for phase 2 automation, enabling you to quickly generate defensible market sizes with TAM, SAM, SOM, currency, and year specifications.

What is the best way to document provenance for every numeric claim in a market model?

The best way to document provenance is to use a market-sizing framework that applies explicit provenance tagging on every numeric claim. This skill automatically tags sources during top-down and bottom-up triangulation, outputting a market-sizing.md with full source documentation.

Do I need defined industry boundaries before starting bottom-up market sizing?

Yes, you need a defined industry or sub-segment boundary before starting bottom-up market sizing. The skill requires a defined industry input to properly apply G3 granular growth decomposition, arenas qualification, and de-averaging for an accurate TAM, SAM, and SOM calculation.