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creating-financial-models

Create financial models with DCF, sensitivity analysis, Monte Carlo simulation, and scenario planning.

Updated Apr 3, 2026
Search Tags:#financial modeling#financial planning#sensitivity analysis#DCF analysis#Monte Carlo simulation
One-click install
npx skills add https://github.com/jmolz/m0lz.02 --skill creating-financial-models-jmolz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: creating-financial-models
Source: https://github.com/jmolz/m0lz.02/tree/main/.agents/skills/creating-financial-models
Command: npx skills add https://github.com/jmolz/m0lz.02 --skill creating-financial-models-jmolz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the creation of complex financial models, reducing the need for manual data entry and analysis, thereby saving time and improving accuracy.

Core Features & Use Cases

  • DCF Analysis: Offers comprehensive DCF models with growth scenarios, terminal value calculations, and WACC determination.
  • Sensitivity Analysis: Performs detailed sensitivity testing to understand the impact of assumptions on valuations.
  • Monte Carlo Simulation: Conducts probabilistic modeling to evaluate uncertainty in financial forecasts.
  • Scenario Planning: Facilitates scenario-based financial planning for different economic scenarios.
  • Use Case: This skill can be used to create a detailed financial model for a potential investment, incorporating DCF analysis and scenario planning to evaluate its viability.

Quick Start

Create a financial model for a tech company using the provided financial statements and set your revenue growth assumptions.

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 analysis model for investment evaluation?▼

DCF analysis is built by inputting financial statements and growth assumptions into Python scripts that calculate terminal value, WACC, and projected cash flows. The Skill handles these calculations automatically to determine investment viability.

How does Monte Carlo simulation work for financial forecasting?▼

Monte Carlo simulation works by running probabilistic modeling on your financial forecasts to evaluate uncertainty. The Skill uses Python scripts with numpy and pandas to conduct thousands of randomized iterations for risk assessment.

Can I perform sensitivity analysis on financial models using Python?▼

Sensitivity analysis is performed by adjusting specific assumptions within your financial model to observe valuation impacts. The Skill uses pandas and numpy scripts to calculate and compare how variable changes affect overall outcomes.

What is the best way to run scenario planning for different economic conditions?▼

Scenario planning is best handled by defining multiple economic variables and letting the Skill calculate parallel financial outcomes. It processes varying scenario assumptions through Python scripts for comparative investment analysis.

Does this financial modeling tool require prior Python experience to use?▼

Prior Python experience is not required to use this Skill, as it operates using internal Python scripts. You need to provide financial statements and assumptions, and the Skill handles the numpy and pandas calculations automatically.

Why use Monte Carlo simulation instead of standard financial planning?▼

Monte Carlo simulation is used over standard financial planning to evaluate uncertainty through probabilistic modeling rather than fixed assumptions. The Skill generates risk assessment distributions to show potential valuation ranges.

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