lbo-model

Generate a wired Excel LBO model with debt schedules and IRR/MOIC outputs.

Updated May 27, 2026
One-click install
npx skills add https://github.com/cwstedctw/financial-services-tw --skill lbo-model-cwstedctw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lbo-model
Source: https://github.com/cwstedctw/financial-services-tw/tree/main/taiwan-finance/skills/lbo-model
Command: npx skills add https://github.com/cwstedctw/financial-services-tw --skill lbo-model-cwstedctw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of building a complete, investment-banking-quality LBO (leveraged buyout) Excel model by correctly wiring sources & uses, operating projections, debt schedules, and returns (IRR/MOIC) formulas instead of relying on manual, error-prone spreadsheet assembly.

Core Features & Use Cases

  • Template-first LBO construction: Uses an attached LBO template exactly when provided, or falls back to a standard template starting from examples/LBO_Model.xlsx.
  • Dynamic, formula-driven Excel modeling: Ensures calculations are implemented as Excel formulas (not hardcoded values) so the model updates when inputs change.
  • Section-by-section validation workflow: Fills and verifies major sections (Sources & Uses, Operating Model, Debt Schedule, Returns, Sensitivities) and requires user sign-off before progressing.

Quick Start

Tell me your LBO assumptions and whether you have an attached LBO template file; then I will populate the template with the required sections (Sources & Uses, Operating Model, Debt Schedule, Returns analysis) and ensure the Excel formulas and checks are correct.

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 with debt schedules and IRR?

To build a leveraged buyout model in Excel, you wire sources & uses, operating projections, debt schedules, and IRR/MOIC formulas together. This process uses a template-first approach to ensure calculations are formula-driven and update dynamically when inputs change.

What is the best way to generate financial projections for a private equity transaction?

Generating financial projections for a private equity transaction requires a structured Excel model that projects operating performance and calculates returns. A section-by-section validation workflow fills and verifies major model sections, requiring sign-off before progressing to ensure accuracy.

Do I need an existing Excel template to model LBO returns and MOIC?

You do not need an existing template to model LBO returns and MOIC. The modeling process uses an attached LBO template exactly when provided, or automatically falls back to a standard baseline template to populate required sections and Excel formulas.

Can I automate debt schedule creation and IRR calculations in Excel without hardcoding values?

You can automate debt schedule creation and IRR calculations by implementing all calculations as Excel formulas instead of hardcoded values. This ensures the LBO model maintains consistent sign conventions and dynamically updates returns analysis when transaction assumptions change.

How does section-by-section validation work when creating an Excel LBO model?

Section-by-section validation for an Excel LBO model works by filling and verifying major sections like Sources & Uses, Operating Model, Debt Schedule, and Returns. The workflow runs verification checks and requires user sign-off before moving between sections to prevent structural errors.

Why should I use a template-based approach instead of building an LBO model from scratch?

Using a template-based approach for an LBO model avoids manual, error-prone spreadsheet assembly. It provides a repeatable structure for valuation and returns analysis by applying professional formatting rules and ensuring investment-banking-quality formula wiring for debt schedules and IRR outputs.