dcf-model

Automate DCF valuation model construction and analysis with financial calculations.

2|Updated May 22, 2026
One-click install
npx skills add https://github.com/519lab/thoth-agent --skill dcf-model-519lab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dcf-model
Source: https://github.com/519lab/thoth-agent/tree/main/optional-skills/finance/dcf-model
Command: npx skills add https://github.com/519lab/thoth-agent --skill dcf-model-519lab

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation and analysis of DCF valuation models, streamlining the process and reducing manual errors in financial analysis.

Core Features & Use Cases

  • Automated DCF Modeling: Build institutional-quality DCF models programmatically.
  • Data Validation: Ensures accuracy of financial data inputs.
  • Scenario Analysis: Provides bear, base, and bull case scenarios for comprehensive analysis.
  • Use Case: Imagine you're a financial analyst needing to quickly create a DCF model for a potential investment. This Skill can automate the entire process, from data input to scenario analysis, saving you hours of manual work.

Quick Start

Use the dcf-model skill to create a DCF valuation model for 'Company XYZ' with the provided financial data and assume a base case growth rate of 12%.

Frequently Asked Questions about dcf-model

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

FAQPage Schema
How do I automate DCF valuation modeling for investment analysis?

Automating DCF valuation modeling requires programmatic handling of revenue projections, free cash flow calculation, WACC computation, and terminal value determination. This Skill streamlines the entire process, reducing manual errors and saving hours of financial modeling work.

Can I perform sensitivity and scenario analysis for discounted cash flow models?

Yes, scenario analysis for discounted cash flow models is fully supported. The Skill generates bear, base, and bull case scenarios, providing comprehensive sensitivity analysis to evaluate how changes in growth rates and assumptions impact your valuation outputs.

What is the best way to calculate WACC and terminal value for equity analysis?

The best way to calculate WACC and terminal value programmatically is by using Python libraries like pandas and numpy for financial calculations. This approach ensures institutional-quality precision in your equity analysis while automating complex mathematical formulas.

Does this DCF model tool work with Excel for financial data sourcing and output?

Yes, the DCF model tool works with Excel by utilizing the openpyxl library for file operations. This allows you to seamlessly handle financial data sourcing from spreadsheets and export your valuation models directly into structured Excel formats.

Do I need Python to build institutional-quality DCF models with this Skill?

Yes, you need a Python environment with pandas, numpy, and openpyxl installed to build institutional-quality DCF models. These dependencies handle the core financial calculations, data validation, and Excel file operations required for accurate valuation tasks.