creating-financial-models

Build DCF models with sensitivity testing and Monte Carlo simulations.

Updated Jan 21, 2026
One-click install
npx skills add https://github.com/mbarnes-code/multi-agent-vllm --skill creating-financial-models-mbarnes-code
Or copy as Structured Prompt for Agent
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Skill: creating-financial-models
Source: https://github.com/mbarnes-code/multi-agent-vllm/tree/main/features/claude-cookbooks/skills/custom_skills/creating-financial-models
Command: npx skills add https://github.com/mbarnes-code/multi-agent-vllm --skill creating-financial-models-mbarnes-code

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex and time-consuming process of building sophisticated financial models, enabling better investment decisions and risk assessment.

Core Features & Use Cases

  • DCF Analysis: Create detailed Discounted Cash Flow models for accurate company valuation.
  • Sensitivity & Monte Carlo: Perform advanced sensitivity analysis and Monte Carlo simulations to understand risk and uncertainty.
  • Scenario Planning: Develop best/base/worst-case scenarios for strategic decision-making.
  • Use Case: A financial analyst needs to value a startup for an acquisition. They can use this Skill to build a comprehensive DCF model, run sensitivity analyses on key growth drivers, and simulate potential outcomes under different market conditions.

Quick Start

Use the creating-financial-models skill to build a DCF model for the attached financial statements.

Frequently Asked Questions about creating-financial-models

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

FAQPage Schema
How do I build a DCF model for company valuation?

You build a DCF model by inputting historical financial statements, projection assumptions, and WACC components to generate enterprise and equity valuations. The skill automates creating detailed Discounted Cash Flow models for accurate company valuation.

What is Monte Carlo simulation in financial modeling?

Monte Carlo simulation in financial modeling is an advanced technique to understand risk and uncertainty by running numerous randomized trials. This skill performs Monte Carlo simulations alongside sensitivity testing to model potential outcomes under different market conditions.

Do I need historical financial statements to run sensitivity analysis?

Yes, historical financial statements are required inputs to run sensitivity analysis. The skill uses these statements alongside projection assumptions and WACC components to perform advanced sensitivity testing and Monte Carlo simulations for risk assessment.

What's the best way to develop best, base, and worst-case scenarios for strategic planning?

The best way to develop these scenarios is using the skill's scenario planning capabilities. It develops best, base, and worst-case scenarios for strategic decision-making by combining DCF analysis with sensitivity testing and Monte Carlo simulations.

Can I use this for startup acquisition valuation?

Yes, you can use this skill for startup acquisition valuation. A financial analyst can build a comprehensive DCF model, run sensitivity analyses on key growth drivers, and simulate potential outcomes under different market conditions to inform investment decisions.

What inputs are required to calculate enterprise and equity valuations?

To calculate enterprise and equity valuations, the skill requires historical financial statements, projection assumptions, and WACC components. These inputs feed into the DCF analysis to produce accurate investment analysis and valuation results.