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lbo-model

Construct dynamic leveraged buyout models in Excel with Python automation.

1|Updated May 12, 2026
Search Tags:#finance#openpyxl#excel#modeling#valuation#lbo#private-equity
One-click install
npx skills add https://github.com/projectedanx/hermes-agent --skill lbo-model-projectedanx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lbo-model
Source: https://github.com/projectedanx/hermes-agent/tree/main/optional-skills/finance/lbo-model
Command: npx skills add https://github.com/projectedanx/hermes-agent --skill lbo-model-projectedanx

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill automates the creation of complex leveraged buyout models, ensuring financial accuracy and professional formatting while eliminating manual errors in formula construction and cell referencing.

Core Features & Use Cases

  • Dynamic Modeling: Generates fully dynamic Excel models with Sources & Uses, debt schedules, and returns analysis using openpyxl.
  • Professional Standards: Enforces strict color-coding, formatting, and sign conventions consistent with investment banking best practices.
  • Use Case: Use this for PE screening, sponsor-case valuation, or building an illustrative LBO in a pitch deck by providing your assumptions and a template.

Quick Start

Use the lbo-model skill to build a new leveraged buyout model based on the attached template and the provided transaction assumptions.

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?▼

Automating an LBO model in Excel is achieved through Python-based automation that uses openpyxl to programmatically generate dynamic debt schedules, cash sweep logic, and IRR sensitivity analysis.

Can I generate private equity returns analysis and MOIC sensitivity in Excel?▼

Generating private equity returns analysis is supported through programmatic spreadsheet manipulation that calculates dynamic IRR, MOIC, and sensitivity outputs for sponsor-case valuation.

Does openpyxl support dynamic debt scheduling and cash sweep logic?▼

openpyxl supports dynamic debt scheduling and cash sweep logic by enabling Python scripts to programmatically construct formulas and enforce standardized financial modeling conventions within Excel.

What is the best way to format an Excel leveraged buyout model for investment banking?▼

The best way to format an Excel leveraged buyout model for investment banking is to enforce strict color-coding, formatting, and sign conventions consistent with professional modeling standards.

How to create a Sources & Uses table for an LBO valuation?▼

To create a Sources & Uses table for an LBO valuation, you provide transaction assumptions to a Python automation script that generates the dynamic table alongside professional valuation reporting.

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