Can I perform scenario planning with this skill?

Yes, you can define best/base/worst-case scenarios with custom probability weights to calculate expected values and decision-tree visualizations.

Does it include tools for risk management?

Yes, it provides built-in capabilities for Monte Carlo simulations to model uncertainty and sensitivity analysis to identify critical value drivers.

What inputs are required for a DCF model?

You generally need 3-5 years of historical financial statements, growth assumptions, margin projections, CapEx forecasts, and discount rate components.

What types of financial models can I build with this skill?

This skill supports corporate valuations, project finance (infrastructure/real estate), M&A analysis, and Leveraged Buyout (LBO) models.

Financial Modeling Suite

Name: Financial Modeling Suite
Author: Microck

byMicrock

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Data Science & ML

Builds advanced financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for data-driven investment decisions.

About

The Financial Modeling Suite skill equips Claude with a robust toolkit for performing professional-grade investment analysis and risk assessment. It enables the creation of detailed Discounted Cash Flow (DCF) models, terminal value calculations, and WACC determinations. Beyond basic valuation, the skill supports advanced risk modeling through Monte Carlo simulations and multi-variable sensitivity analysis, allowing analysts to stress-test assumptions and visualize potential outcomes via scenario planning. Whether for M&A, project finance, or corporate valuation, this skill ensures industry-standard methodologies and clear documentation of all financial drivers.

Key Features

Strategic scenario planning for best, base, and worst-case outcomes
81 GitHub stars
Advanced Monte Carlo simulations for probability-based risk assessment
Automated Discounted Cash Flow (DCF) and WACC calculations
Production of standardized financial projections and valuation summaries
Multi-variable sensitivity analysis with tornado chart generation

Use Cases

Conducting comprehensive corporate valuations for M&A or equity research
Quantifying investment risk using statistical distributions and confidence intervals
Stress-testing infrastructure or real estate project feasibility

About

Key Features

Strategic scenario planning for best, base, and worst-case outcomes
81 GitHub stars
Advanced Monte Carlo simulations for probability-based risk assessment
Automated Discounted Cash Flow (DCF) and WACC calculations
Production of standardized financial projections and valuation summaries
Multi-variable sensitivity analysis with tornado chart generation

Use Cases

Conducting comprehensive corporate valuations for M&A or equity research
Quantifying investment risk using statistical distributions and confidence intervals
Stress-testing infrastructure or real estate project feasibility