excel-lbo-modeler
| 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
View all platforms →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
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills 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
- Owner
- jeremylongshore (GitHub)
- Repository
- claude-code-plugins-plus-skills
- 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
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 herereferences/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
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)
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)
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)
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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