business-quantitative-model

Generate quantitative business models with YAML frontmatter and Markdown.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/VictorHueni/homemade-claude-kit --skill business-quantitative-model
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: business-quantitative-model
Source: https://github.com/VictorHueni/homemade-claude-kit/tree/main/skills/business-quantitative-model
Command: npx skills add https://github.com/VictorHueni/homemade-claude-kit --skill business-quantitative-model

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users create or plan quantitative business model documents, supporting various modes like cataloging models, scaffolding single files, filling context, and refreshing assumptions. It streamlines the process of creating TAM/SAM/SOM models, ROI models, market-sizing documents, and more.

Core Features & Use Cases

  • Model Cataloging: Identify and prioritize the models needed for a project.
  • Scaffolding: Create the structure of a new model file with placeholders.
  • Context Filling: Populate model sections with project-specific context.
  • Assumption Refreshing: Update model inputs and assumptions with new evidence.
  • Use Case: When preparing a business plan, use this Skill to create a TAM/SAM/SOM model that estimates the market size and potential revenue for a new product.

Quick Start

To create a new quantitative business model, use the 'business-quantitative-model' skill with the 'catalogue' mode and specify the project's characteristics.

Frequently Asked Questions about business-quantitative-model

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

FAQPage Schema
How do I build a TAM SAM SOM model for financial forecasting and market sizing?

To build a quantitative business model for financial forecasting, this Skill generates TAM, SAM, SOM, and ROI structures. It scaffolds documents with placeholders and populates sections using project-specific context to estimate market size and potential revenue.

What is the best way to structure customer ROI and financial projections in a business model?

Structuring customer ROI and financial projections is best handled by scaffolding Markdown files with YAML frontmatter. This format separates model metadata from the operational narrative, allowing Python scripts to execute computation and visualization for quantitative analysis.

Can I use Python scripts with pandas and numpy for quantitative business modeling?

Yes, you can use Python scripts with pandas and numpy for quantitative business modeling. This Skill requires these specific dependencies to support computation and visualization for market sizing, customer ROI, and financial projections.

Do I need analysis and modeling expertise to refresh assumptions in a quantitative model?

Yes, you need analysis and modeling expertise to refresh assumptions in a quantitative model. The Skill requires this background to update model inputs with new evidence and accurately manage the financial forecasting logic.

When should I use catalogue mode to create a quantitative business model?

You should use catalogue mode to create a quantitative business model when starting a new project. It identifies and prioritizes the specific financial forecasting, ROI, and market sizing models needed based on your project's characteristics.