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Build professional leveraged buyout (LBO) Excel models from templates, including sources & uses, debt schedules, cash sweeps, and IRR/MOIC sensitivity analysis.
This skill populates and formulas Excel LBO model templates (openpyxl) to produce dynamic, validated buyout models. It fills Sources & Uses, operating projections, debt schedules, returns (IRR/MOIC), and sensitivity tables, enforces formatting/number conventions, and runs a recalculation step before delivery.
Use when you need an investment-banking quality LBO model for PE screening, sponsor-case valuation, pitchbooks, or internal diligence. It's intended for workflows where a template is provided or where the standard example template may be used.
Inferred: agents with Python/openpyxl support and file I/O (Hermes/Claude-Code, Codex/Code agents) that can attach or produce .xlsx files and run the excel-author recalc helper.
Leveraged buyout (LBO) Excel model builder skill targeting headless openpyxl. No bundled scripts — purely instructional SKILL.md with detailed formula conventions, color coding standards, verification checklists, and section-by-section workflow. Requires the companion excel-author skill for recalc.py. Well-structured for PE/finance niche but niche audience limits breadth.
Clean skill — no security concerns whatsoever. Pure instructional content with no executable code. SKILL.md is comprehensive but long (~1800 words); could benefit from splitting into references/ for progressive disclosure. Architecture is solid though monolithic. Quality of instructions is high with excellent error-pattern documentation and verification checklist.
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