What valuation methods does this skill support?

It supports Discounted Cash Flow (DCF), M&A accretion/dilution, LBO modeling, and project finance valuations using industry-standard methodologies.

Can it handle uncertainty and risk in financial projections?

Yes, it features a Monte Carlo simulation engine that runs thousands of iterations based on probability distributions to provide confidence intervals for valuations.

Are the models checked for errors automatically?

Yes, the skill includes automated quality checks for balance sheet balancing, cash flow reconciliation, and circular reference resolution.

Does it provide visual sensitivity analysis?

The skill generates sensitivity data tables and tornado charts to identify and rank the critical value drivers affecting your financial model.

Financial Modeling Suite

Name: Financial Modeling Suite
Author: Chen-zexi

byChen-zexi

•

644

Data Science & ML

Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and scenario planning for investment valuation.

About

This skill transforms Claude into a sophisticated financial analyst capable of building complex valuation models and risk assessment frameworks. It provides industry-standard methodologies for Discounted Cash Flow (DCF) analysis, sensitivity testing, and probabilistic modeling through Monte Carlo simulations. Perfect for investment banking, private equity, and corporate finance, it automates the creation of financial projections, WACC calculations, and scenario-based decision trees while ensuring rigorous error-checking and structural integrity in every model.

Key Features

Automated DCF valuation engine with WACC and terminal value modeling
Sensitivity analysis with tornado charts and multi-variable data tables
Monte Carlo simulations with probability distributions and confidence intervals
Built-in quality checks for balance sheet reconciliation and circular references
Scenario planning for best, base, and worst-case outcome comparisons
644 GitHub stars

Use Cases

Valuing mature or growth-stage companies for potential investment or acquisition
Stress-testing project finance models for real estate or infrastructure developments
Analyzing M&A deals for synergy modeling and accretion/dilution analysis

About

Key Features

Automated DCF valuation engine with WACC and terminal value modeling
Sensitivity analysis with tornado charts and multi-variable data tables
Monte Carlo simulations with probability distributions and confidence intervals
Built-in quality checks for balance sheet reconciliation and circular references
Scenario planning for best, base, and worst-case outcome comparisons
644 GitHub stars

Use Cases

Valuing mature or growth-stage companies for potential investment or acquisition
Stress-testing project finance models for real estate or infrastructure developments
Analyzing M&A deals for synergy modeling and accretion/dilution analysis