Do I need to provide historical data?

For accurate DCF and valuation models, it is recommended to provide 3-5 years of historical financial statements and your key growth assumptions.

What types of financial models are supported?

It supports Corporate Valuation, Project Finance, M&A Analysis, and LBO (Leveraged Buyout) models.

Can I perform risk analysis with this tool?

Absolutely. The skill includes Monte Carlo simulation capabilities that run thousands of iterations to provide probability distributions and confidence intervals for your valuations.

How does it handle model errors?

The skill automatically performs quality checks including balance sheet balancing, circular reference resolution, and cash flow reconciliation to ensure model integrity.

Does this skill support Excel exports?

Yes, the skill is designed to generate structured financial data and projections that can be exported into Excel workbooks for further manual adjustment.

Financial Modeling Suite

Name: Financial Modeling Suite
Author: Activer007

byActiver007

Data Science & ML

Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and multi-scenario investment projections.

About

The Financial Modeling Suite is a specialized toolkit designed for investment analysis, valuation, and risk assessment within Claude Code. It streamlines the creation of industry-standard financial instruments such as Discounted Cash Flow (DCF) models, Weighted Average Cost of Capital (WACC) calculations, and sensitivity data tables. By incorporating advanced statistical methods like Monte Carlo simulations and probability-weighted scenario planning, this skill helps users quantify uncertainty and make data-driven investment decisions while adhering to best practices in financial documentation and error checking.

Key Features

Sensitivity testing with automated tornado chart and data table generation
0 GitHub stars
Monte Carlo simulations for modeling uncertainty and confidence intervals
Built-in quality checks for balance sheet balancing and cash flow reconciliation
Comprehensive DCF analysis with terminal value and WACC calculations
Strategic scenario planning for best, base, and worst-case outcomes

Use Cases

Conducting M&A analysis including synergy modeling and accretion/dilution testing
Performing risk assessments for project finance in real estate or infrastructure
Valuing corporate entities or growth startups using multi-stage cash flow projections

About

Key Features

Sensitivity testing with automated tornado chart and data table generation
0 GitHub stars
Monte Carlo simulations for modeling uncertainty and confidence intervals
Built-in quality checks for balance sheet balancing and cash flow reconciliation
Comprehensive DCF analysis with terminal value and WACC calculations
Strategic scenario planning for best, base, and worst-case outcomes

Use Cases

Conducting M&A analysis including synergy modeling and accretion/dilution testing
Performing risk assessments for project finance in real estate or infrastructure
Valuing corporate entities or growth startups using multi-stage cash flow projections