lbo-model

Automates LBO financial model builds in Excel with debt and IRR/MOIC analysis.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, excel-author, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The LBO model skill resolves the complexity of constructing leveraged buyout models in Excel by automating key aspects and providing detailed financial analysis.

Core Features & Use Cases

  • Automated Template Population: Utilizes Excel templates to streamline model creation and populate formulas dynamically.
  • Financial Analysis Tools: Offers built-in support for calculations such as debt schedules, cash sweep, exit multiples, and IRR/MOIC sensitivity analysis.
  • Integration: Integrates with excel-author to ensure proper formatting, named ranges, and sensitivity tables.
  • Use Case: Ideal for private equity firms, investors, and analysts for PE screening, sponsor-case valuation, and pitch presentations.

Quick Start

Run the lbo-model skill and upload an Excel template along with the necessary data.

Frequently Asked Questions about lbo-model

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

FAQPage Schema
How do I automate building an LBO model in Excel with debt scheduling and IRR sensitivity?

Automating an LBO model in Excel requires dynamically populating templates for debt scheduling, cash sweep, and IRR sensitivity. This skill leverages openpyxl for formula processing to generate comprehensive leveraged buyout financial models efficiently.

Can I use Excel templates to calculate exit multiples and MOIC for private equity screening?

Yes, you can use Excel templates to calculate exit multiples and MOIC for private equity screening. The skill automates template population, integrating with excel-author to ensure proper formatting and named ranges for detailed valuation analysis.

What is needed to generate leveraged buyout financial models with cash sweep calculations?

Generating leveraged buyout financial models with cash sweep calculations requires an Excel template and necessary transaction data. The skill uses openpyxl for formula processing and excel-author for output formatting to populate the model dynamically.

Does this LBO modeling tool work for M&A analysis and pitch presentations?

Yes, this LBO modeling tool works for M&A analysis and pitch presentations. It is designed for private equity firms and investors, providing sponsor-case valuation and detailed sensitivity analysis needed for investment screening.

Why use openpyxl and excel-author for private equity financial modeling?

Using openpyxl and excel-author for private equity financial modeling ensures accurate formula processing and standardized output formatting. This integration supports complex debt scheduling and sensitivity tables required for precise LBO analysis.

What are the limitations of using automated Excel templates for LBO valuation?

Limitations of using automated Excel templates for LBO valuation include the strict requirement to upload a pre-existing Excel template with necessary data. The skill cannot build models from scratch without an initial template structure.