lbo-model

Create detailed LBO financial models with Python and openpyxl.

3|1|Updated May 19, 2026
One-click install
npx skills add https://github.com/Quill-Agent/Quill-Agent --skill lbo-model-quill-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lbo-model
Source: https://github.com/Quill-Agent/Quill-Agent/tree/main/optional-skills/finance/lbo-model
Command: npx skills add https://github.com/Quill-Agent/Quill-Agent --skill lbo-model-quill-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The skill tackles the time-consuming process of manually building and populating leveraged buyout models, allowing financial professionals to save valuable time and focus on more strategic analysis.

Core Features & Use Cases

  • Build Excel-based LBO Models: Utilize templates for constructing and populating Sources & Uses, Operating Model, Debt Schedule, and Returns Analysis sections.
  • Comprehensive Automation: Automatically generate formulas and structure to reduce errors and save effort.
  • User Flexibility: Choose from templates or custom builds to meet individual needs.

Quick Start

Utilize the lbo-model skill to construct an LBO model with 'LBO_Model.xlsx' as your starting template, or select an existing template using the --template argument.

Frequently Asked Questions about lbo-model

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

FAQPage Schema
How do I build a leveraged buyout model in Excel?

To build a leveraged buyout model in Excel, this skill uses Python scripts and openpyxl to automatically populate templates with Sources & Uses, Operating Model, Debt Schedule, and Returns Analysis sections. You can start with the default 'LBO_Model.xlsx' template or specify an existing one using the --template argument.

How do I automate an LBO debt schedule and returns analysis?

Automate an LBO debt schedule and returns analysis by running the provided Python scripts, which generate the required formulas and structure automatically. This comprehensive automation reduces manual errors and saves effort during acquisition modeling and valuation analysis.

Can I use openpyxl to create custom financial modeling templates?

Yes, you can use openpyxl to create custom financial modeling templates, as this skill requires pre-configured openpyxl for spreadsheet interactions. Users have the flexibility to choose from pre-built templates or execute custom builds to meet individual modeling needs.

What is the best way to generate Excel financial models for private equity due diligence?

The best way to generate Excel financial models for private equity due diligence is using a template-driven approach that constructs detailed LBO sections. This skill tackles the time-consuming manual process, allowing financial professionals to focus on strategic analysis.

Do I need Python to create an LBO valuation spreadsheet?

Yes, you need Python to create an LBO valuation spreadsheet because this skill operates through Python scripts that manipulate Excel files via the openpyxl dependency. The scripts handle the structural generation and formula creation for the valuation analysis.