market-sizing

Build a bottom-up market-sizing model with an Excel workbook output.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/harryhuang0719/Skills-for-Cathay --skill market-sizing-harryhuang0719
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-sizing
Source: https://github.com/harryhuang0719/Skills-for-Cathay/tree/main/skills/market-sizing
Command: npx skills add https://github.com/harryhuang0719/Skills-for-Cathay --skill market-sizing-harryhuang0719

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, and includes scripts (resource) components.

What problem does it solve?

This Skill helps you build transparent, bottom-up market sizing models that connect demand, supply, and price dynamics to produce a traceable Excel workbook. It focuses on delivering validated TAM/SAM/SOM analyses, market forecasting, and competitive landscape mapping suitable for investment decisions and strategic planning.

Core Features & Use Cases

  • Bottom-up demand decomposition by segment and sub-segment with volume and ASP inputs leading to total revenue.
  • Supply-side capacity mapping and balance checks to ensure data integrity and guardrails for price signals.
  • End-to-end model output: a multi-sheet Excel workbook with Assumptions, Demand, Supply, SD_Balance, Competition, and Data sheets.
  • Scalable to TAM/SAM/SOM sizing, market dynamics forecasting, and scenario testing for investment decisions or strategy planning.

Quick Start

Provide clearly defined market boundaries and input data, then run the model to generate a multi-sheet Excel workbook showing the bottom-up market dynamics.

Frequently Asked Questions about market-sizing

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

FAQPage Schema
How do I build a bottom-up market sizing model in Excel with supply and demand dynamics?

To build a bottom-up market sizing model in Excel, you decompose demand by segment using volume and average selling price inputs, map supply-side capacity, and generate a multi-sheet workbook showing supply-demand balance and competitive landscape mapping for investment decisions.

What is the best way to calculate TAM, SAM, and SOM for investment decisions?

Calculating TAM, SAM, and SOM requires defining clear market boundaries and inputting explicit formulas linking volume, ASP, and revenue. This approach produces validated market forecasting outputs with built-in cross-checks suitable for strategic planning.

Can I forecast market dynamics and test scenarios using a bottom-up demand decomposition approach?

Yes, bottom-up demand decomposition by sub-segment allows you to forecast market dynamics and run scenario testing. It connects segment volumes and pricing to total revenue while applying supply-side balance checks to ensure data integrity.

Do I need predefined market boundaries and data sources before generating a market sizing workbook?

Yes, you must provide clearly defined market boundaries, data sources, and explicit formulas linking volume, ASP, and revenue. These inputs are required to generate the validated multi-sheet Excel workbook with built-in validation and cross-checks.

How does supply-side capacity mapping work in bottom-up market forecasting models?

Supply-side capacity mapping works by aggregating available capacity and comparing it against bottom-up demand projections. This creates a supply-demand balance sheet that acts as a guardrail for price signals and ensures data integrity within the Excel workbook.

What sheets are included in a bottom-up market sizing Excel workbook?

A bottom-up market sizing Excel workbook includes Assumptions, Demand, Supply, SD_Balance, Competition, and Data sheets. These interconnected sheets provide end-to-end traceability from initial segment inputs to final market dynamics and competitive landscape mapping.