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creating-financial-models

Build DCF, sensitivity, Monte Carlo, and scenario models with Python scripts.

1|Updated Mar 13, 2026
Search Tags:#financial modeling#scenario planning#valuation#sensitivity analysis#monte carlo#dcf
One-click install
npx skills add https://github.com/kadurm/krmcorp --skill creating-financial-models-kadurm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: creating-financial-models
Source: https://github.com/kadurm/krmcorp/tree/main/references/claude-cookbooks-main/skills/custom_skills/creating-financial-models
Command: npx skills add https://github.com/kadurm/krmcorp --skill creating-financial-models-kadurm

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex and time-consuming process of building sophisticated financial models for valuation, investment analysis, and strategic planning.

Core Features & Use Cases

  • DCF Analysis: Build comprehensive Discounted Cash Flow models to determine intrinsic value.
  • Sensitivity & Scenario Planning: Analyze how changes in key assumptions impact valuation and model different future outcomes.
  • Monte Carlo Simulation: Quantify risk and uncertainty by simulating thousands of potential scenarios.
  • Use Case: A startup founder can use this Skill to generate a robust 5-year financial projection with best-case, base-case, and worst-case scenarios to present to potential investors.

Quick Start

Use the creating-financial-models skill to build a DCF model for the attached company financials.

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 model for valuation using Python?▼

You can build a Discounted Cash Flow model by providing company financials to the skill, which automates cash flow projections and intrinsic value calculation using Python scripts.

Can I run Monte Carlo simulations for financial forecasting in Python?▼

Yes, the skill generates Monte Carlo simulations to quantify risk and uncertainty by simulating thousands of potential financial scenarios using numpy and pandas.

What's the best way to perform sensitivity analysis for corporate valuation?▼

Sensitivity analysis is performed by adjusting key assumptions within the financial model to analyze their impact on valuation outcomes, supporting corporate and M&A analysis.

Does this financial modeling skill support scenario planning for startup projections?▼

Yes, the skill supports scenario planning to model best-case, base-case, and worst-case outcomes, allowing startup founders to generate robust multi-year financial projections.

Do I need numpy and pandas to run these financial models?▼

Yes, numpy and pandas are required dependencies for executing the Python scripts that power the DCF analysis, sensitivity testing, and Monte Carlo simulations.

Can I use this for LBO and project finance modeling?▼

Yes, the skill provides templates and best practices for LBO models, project finance, and M&A analysis to automate complex investment valuation workflows.

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