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excel-lbo-modeler

23.4
D

| Create leveraged buyout (LBO) models in Excel with sources & uses, debt schedules, cash flow waterfalls, and IRR calculations for private equity analysis Activates when you request "excel lbo modeler" functionality.

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Installation for Agentic Skill

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skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-lbo-modeler
skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-lbo-modeler --agent opencode
skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-lbo-modeler --agent codex
skilz install jeremylongshore/claude-code-plugins-plus-skills/excel-lbo-modeler --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
2. Copy the agent skill directory:
cp -r claude-code-plugins-plus-skills/backups/skills-batch-20251204-000554/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Type
Non-Technical
Meta-Domain
general
Primary Domain
general
Sub-Domain
skill use
Market Score
23.4

Agent Skill Grade

D
Score: 61/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
12/30
Ease of Use
18/25
Writing Style
0/10
Utility
14/20
Modifiers: +1

Areas to Improve

  • Resources folder and files mentioned do not exist
  • 448-line file with no layered architecture; example interactions, formulas, and variations should be in references
  • File exceeds 100 lines significantly but has no navigation TOC

Recommendations

  • Focus on improving Pda (currently 12/30)
  • Focus on improving Writing Style (currently 4/10)
  • Address 2 high-severity issues first

Graded: 1/5/2026

Developer Feedback

I took a look at your excel-lbo-modeler skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 61/100, D-grade territory. This is based on Anthropic's skill best practices rubric. The strongest area is spec compliance (12/15) – your YAML is clean and naming follows conventions. The biggest drag is writing style (4/10) and progressive disclosure architecture (12/30). The good news? These are fixable problems that could bump you up 15-20 points without rewriting the core skill logic.

What's Working Well

  • Spec compliance is solid – Your frontmatter is valid, naming conventions are right, required fields all present
  • Real financial domain expertise – You're addressing an actual gap (PE/LBO analysis) with proper terminology (EBITDA, MoM, IRR used correctly throughout)
  • Good trigger coverage – "Build a leveraged buyout model", "Create an LBO analysis", "PE acquisition analysis" gives the skill multiple natural entry points
  • Clear step structure – Your 6-step workflow is logical, even if it needs some polish

The Big One: Missing Reference Files + Monolithic Structure

This is killing your PDA score. Your SKILL.md is 448 lines – no skill should be that large in a single file. You claim there's a resources folder with lbo-template.xlsx, REFERENCE.md, and debt-structures.txt, but they don't exist. This is a trust issue.

Here's the fix: You've got ~150 lines of example formulas, interactions, and variations buried in the main file. Create a references/ directory with:

  • references/examples.md – Move your "Example Interaction" and "Common Variations" sections here
  • references/formulas.md – Debt schedule, returns calc, sensitivity matrix formulas go here
  • Update SKILL.md to reference these with links

This alone gets you +6 points on PDA (token economy + layered structure), and makes your skill actually maintainable.

Other Things Worth Fixing

  1. Add a Table of Contents – At 400+ lines, readers need navigation. Add a TOC right after the frontmatter with anchors to major sections (+1 point)

  2. Inconsistent voice in examples – Your example response says "I'll create an LBO model..." but instructions should be imperative/neutral. Change to "Creating LBO model for software company with $50M EBITDA" (+2 points on writing style)

  3. Strip the marketing language – Phrases like "comprehensive LBO models" and "industry-standard practices" feel promotional. Use neutral descriptions: "Build LBO models with sources & uses, debt schedules, and returns analysis" (+2 points on objectivity)

  4. Workflow needs checkpoint clarity – Your 6 steps exist but feel dense. Add a simple checklist format for the model creation process so users know what they're validating at each stage (+2 points on workflow clarity)

Quick Wins

  • Create the references/ directory structure (biggest ROI – +6 points)
  • Fix voice inconsistency in examples (+2)
  • Remove marketing language (+2)
  • Add TOC with navigation links (+1)

These four changes would likely push you into the 72-75 range (C-grade) without touching your core financial logic, which is actually solid.


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