lbo-model

Populate Excel templates with dynamic formulas for leveraged buyout models.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill lbo-model-rheasilvia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lbo-model
Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/optional-skills/finance/lbo-model
Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill lbo-model-rheasilvia

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 (LBO) workbooks, ensuring financial accuracy and professional formatting while eliminating manual spreadsheet errors.

Core Features & Use Cases

  • Dynamic Modeling: Generates formulas for Sources & Uses, Operating Models, Debt Schedules, and Returns Analysis (IRR/MOIC).
  • Professional Formatting: Applies standardized blue/grey color palettes and professional number formatting to ensure audit-ready outputs.
  • Use Case: Quickly build a multi-year LBO projection for a private equity deal by populating a template with specific entry multiples, debt tranches, and exit assumptions.

Quick Start

Use the lbo-model skill to build a new leveraged buyout workbook 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 build an LBO model in Excel with dynamic formulas?

Build an LBO model in Excel by automating the population of templates with dynamic formulas for Sources & Uses, debt schedules, and returns analysis. This generates a fully formatted leveraged buyout workbook without manual spreadsheet errors.

Can I automate private equity returns analysis and IRR calculations in Excel?

Automate private equity returns analysis by generating dynamic Excel formulas for IRR and MOIC calculations. The skill populates transaction assumptions into a standardized template to produce professional returns analysis outputs.

What is the best way to generate a debt schedule for a leveraged buyout projection?

Generate a debt schedule for a leveraged buyout projection by applying transaction assumptions like debt tranches and entry multiples to an Excel template. The skill automates debt scheduling formulas and professional number formatting.

Do I need openpyxl to automate leveraged buyout financial modeling?

You need the openpyxl library installed to run this leveraged buyout financial modeling automation, as it requires programmatic spreadsheet manipulation to populate Excel templates with dynamic formulas and professional formatting.

Does automated Excel modeling support sensitivity testing for private equity deals?

Automated Excel modeling supports sensitivity testing for private equity deals by populating dynamic formulas across multi-year LBO projections. It handles entry multiples, debt tranches, and exit assumptions for comprehensive valuation workflows.