This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "lbo-model" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/financial-services/main/plugins/agent-plugins/pitch-agent/skills/lbo-model/SKILL.md 2. Save it as ~/.claude/skills/lbo-model/SKILL.md 3. Reload skills and tell me it's ready
This skill uses templates for LBO models. Always check for an attached template file first.
Before starting any LBO model:
examples/LBO_Model.xlsx as your starting point and populate it with the user's assumptionsIMPORTANT: When a file like LBO_Model.xlsx is attached, you MUST use it as your template - do not build from scratch. Even if the template seems complex or has more features than needed, copy it and adapt it to the user's requirements. Never decide to "build from scratch" when a template is provided.
If running inside Excel (Office Add-in / Office JS environment):
Excel.run(async (context) => {...})) directly — do NOT use Python/openpyxlrange.formulas = [["=B5*B6"]] — Office JS formulas recalculate natively in the live workbookrange.formulas, never range.values for anything that should be a calculationrange.format.font.color / range.format.fill.color for the blue/black/purple/green convention.merge() then set .values on the merged range (throws InvalidArgument — range still reports original dimensions). Instead: write value to top-left cell alone (ws.getRange("A7").values = [["SOURCES & USES"]]), then merge + format the full range (ws.getRange("A7:F7").merge(); ws.getRange("A7:F7").format.fill.color = "#1F4E79";)If generating a standalone .xlsx file (no live Excel session):
ws["D20"] = "=B5*B6"), then run recalc.py before deliveryThe rest of this skill is written with openpyxl examples, but the same principles apply to Office JS — just translate the API calls.
cell.value = "=B5*B6" (formula string), NOT cell.value = 1250 (computed result). The model must be dynamic and update when inputs change.examples/LBO_Model.xlsx or the user's provided template. Do not invent your own layout.=B4*B5, =SUM(), =-MAX(0,B4))=B9, =B45)…
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