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from Hermes Agent (Windows R fork)19
Fill and validate leveraged buyout (LBO) Excel templates using headless openpyxl: build sources & uses, debt schedule, cash sweeps, and IRR/MOIC sensitivity tab
This skill builds professional LBO models inside Excel templates using headless openpyxl. It follows strict conventions: all calculations are Excel formulas (no hardcoded results), template structure is preserved, formulas are formatted and colored, and a recalc/verification step ensures correctness. The skill guides template analysis, formula filling, sensitivity table construction, and a verification checklist.
Use it when a user needs an LBO model for private equity screening, pitch materials, or valuation exercises and provides a template (preferred) or requests the standard template. Trigger phrases include: "build LBO model", "LBO template", or "generate LBO Excel".
Best used by agents that can run Python and manage files (excel-author integration). Works with headless environments that support openpyxl and file-based workflows.
Detailed instructional skill for building leveraged buyout models in Excel via openpyxl. No bundled scripts — purely text-based guidance with formula conventions, formatting standards, verification checklists, and common error patterns. Well-written for its niche but depends on the separate excel-author skill's recalc.py helper. Target audience is PE/IB professionals, limiting breadth.
Clean skill with no security concerns. Purely instructional with no executable code. Well-structured content but monolithic — could benefit from splitting detailed checklists into references/. Niche PE/IB audience limits usefulness score.
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