fsi-fa-lbo-model
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment…
Skill by d-wwei
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/d-wwei-fsi-fa-lbo-model
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About
Use cases: spreadsheets, sales
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fsi-fa-lbo-model
What's inside
- Skill name
fsi-fa-lbo-model- Description
- 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.
- License
- Apache-2.0
- Instructions
- 233 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- files: referenced but missing: examples/LBO_Model.xlsx
Files (1)
- SKILL.md
SKILL.md (first lines)
--- ## TEMPLATE REQUIREMENT **This skill uses templates for LBO models. Always check for an attached template file first.** Before starting any LBO model: 1. **If a template file is attached/provided**: Use that template's structure exactly - copy it and populate with the user's data 2. **If no template is attached**: Ask the user: *"Do you have a specific LBO template you'd like me to use? If not, I can use the standard template which includes Sources & Uses, Operating Model, Debt Schedule, and Returns Analysis."* 3. **If using the standard template**: Copy `examples/LBO_Model.xlsx` as your starting point and populate it with the user's assumptions **IMPORTANT**: 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. --- ## CRITICAL INSTRUCTIONS FOR CLAUDE - READ FIRST ### Core Principles * **Every calculation must be an Excel formula** - NEVER compute values in Python and hardcode results into cells. The model must be dynamic and update when inputs change. * **Use the template structure** - Follow the organization in `examples/LBO_Model.xlsx` or the user's provided template. Do not invent your own layout. * **Use proper cell references** - All formulas should reference the appropriate cells. Never type numbers that should come from other cells. * **Maintain sign convention consistency** - Follow whatever sign convention the template uses (some use negative for outflows, some use positive). Be consistent throughout. * **Work section by section** - Complete one section fully before moving to the next, as later sections often depend on earlier ones. ### Formula Color Conventions * **Blue (0000FF)**: Hardcoded inputs - typed numbers that don't reference other cells * **Black (000000)**: Formulas with calculations - any formula using operators or functions (`=B4*B5`, `=SUM()`, `=-MAX(0,B4)`) * **Purple (800080)**: Links to cells on the **same tab** - direct references with no calculation (`=B9`, `=B45`) * **Green (008000)**: Links to cells on **different tabs** - cross-sheet references (`=Assumptions!B5`, `='Operating Model'!C10`) ### Number Formatting Standards * **Currency**: `$#,##0;($#,##0);"-"` or `$#,##0.0` depending on template * **Percentages**: `0.0%` (one decimal) * **Multiples**: `0.0"x"` (one decimal) * **MOIC/Detailed Ratios**: `0.00"x"` (two decimals for precision) * **All numeric cells**: Right-aligned --- ### Clarify Requirements First Before filling any formulas: * **Examine the template structure** - Identify all sections, understand the timeline (which columns are which periods), note any existing formulas * **Ask the user if anything is unclear** - If the template structure, calculation methods, or requirements are ambiguous, ask before proceeding * **Confirm key assumptions** - Any key inputs, calculation preferences, or specific requirements * **ONLY AFTER understanding the template**, proceed to fill in formulas --- ## TEMPLATE ANALYSIS PHASE - DO THIS FIRST Before filling any formulas, examine the template thoroughly: 1. **Map the structure** - Identify where each section lives and how they relate to each other. Note which sections feed into others. 2. **Understand the timeline** - Which columns represent which periods? Is there a "Closing" or "Pro Forma" column? Where does the projection period start? 3. **Identify input vs formula cells** - Templates often use color coding, borders, or shading to indicate which cells need inputs vs formulas. Respect these conventions. 4. **Read existing labels carefully** - The row labels tell you exactly what calculation is expected. Don't assume - read what the template is asking for. 5. **Check for existing formulas** - Some templates come partially filled. Don't overwrite working formulas unless specifically asked. 6. **Note template-specific conventions** - Sign conventions, subtotal structures, how sections are organized, whether there are separate tabs for different components, etc. --- ## FILLING FORMULAS - GENERAL APPROACH For each cell that needs a formula, follow this hierarchy: ### Step 1: Check the Template * Does the cell already have a formula? If yes, verify it's correct and move on. * Is there a comment or note indicating the expected calculation? * Does the row/column label make the calculation obvious? * Do neighboring cells show a pattern you should follow? ### Step 2: Check the User's Instructions * Did the user specify a particular calculation method? * Are there stated assumptions that affect this formula? * Any special requirements mentioned? ### Step 3: Apply Standard Practice * If neither template nor user specifies, use standard LBO modeling conventions * Document any assumptions you make * If genuinely uncertain, ask the user --- ## COMMON PROBLEM AREAS The following calculation patterns frequently cause issues across LBO models. Pay special attention when you encounter these: ### Balancing Sections * When two sections must equal (e.g., Sources = Uses), one item is typically the "plug" (balancing figure) * Identify which item is the plug and calculate it as the difference ### Tax Calculations * Tax formulas should only reference the relevant income line and tax rate * Should NOT reference unrelated sections (e.g., debt schedules) * Consider whether losses create tax shields or are simply ignored ### Interest and Circular References * Interest calculations can create circularity if they reference balances affected by cash flows * Use **Beginning Balance** (not average or ending) to break circular references * Pattern: Interest → Cash Flow → Paydown → Ending Balance (if interest uses ending balance, this circles back) ### Debt Paydown / Cash Sweeps * When multiple debt tranches exist, there's usually a priority order * Cash sweep should respect the priority waterfall * Balances cannot go negative - use MAX or MIN functions appropriately ### Returns Calculations (IRR/MOIC) * Cash flows must have correct signs: Investment = negative, Proceeds = positive * If using XIRR, need corresponding dates * If using IRR, cash flows should be in consecutive periods * MOIC = Total Proceeds / Total Investment
From d-wwei/openclaw-financial-services, Apache-2.0.
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Signals
- Stars
- 17
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Feb 25, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
fsi-fa-lbo-model skill. Agent Mart. https://agentmart.dev/skills/d-wwei-fsi-fa-lbo-model (last updated 2026-10-24)