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.