Build Excel LBO models with formulas for IRR, MOIC, and sensitivity tables.
npx skills add https://github.com/MarbleSodas/Mavis --skill lbo-model-marblesodas
Please help me install this Agent Skill. Skill: lbo-model Source: https://github.com/MarbleSodas/Mavis/tree/main/optional-skills/finance/lbo-model Command: npx skills add https://github.com/MarbleSodas/Mavis --skill lbo-model-marblesodas
This Skill removes the complexity of creating a correct, dynamic leveraged buyout (LBO) model by generating an Excel-based structure with validated formulas and professionally formatted outputs.
examples/LBO_Model.xlsx layout.excel-author workflow.Build an LBO model in an .xlsx file using my attached template, filling in sources & uses, operating projections, debt schedule, returns (IRR/MOIC), and a properly wired sensitivity table for my assumptions.
High-intent search queries and answers about installing and using this skill.
Build a leveraged buyout model in Excel by providing operating projections and financing assumptions to a template-driven generator. This creates a structured .xlsx file with dynamic formulas for Sources & Uses, Debt Schedule, and Returns analysis without hardcoded values.
Yes, generating IRR and MOIC sensitivity tables is a core feature. The model wires sensitivity outputs directly to your assumption inputs and uses a post-write recalculation step to ensure all return metrics update correctly within the Excel file.
No, a custom Excel template is not required. The LBO model can start from a standard built-in layout if no template is provided, filling in operating projections, debt schedule, and returns analysis based on your sponsor-case assumptions.
Automate debt schedule and Sources & Uses calculations by using openpyxl to write validated Excel formulas programmatically. This ensures all financing mechanics remain dynamic and consistent with operating projections throughout the model.
Excel LBO model returns may show errors because openpyxl writes formulas but does not calculate them natively. A post-write recalculation step via an excel-author workflow is required to update IRR, MOIC, and sensitivity outputs correctly.
Yes, this LBO modeling approach works for private equity screening and illustrative pitching. It ensures operating projections, financing mechanics, and returns analysis remain consistent, making it suitable for sponsor-case valuation scenarios.
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