lbo-model

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.

Quality

82%

Does it follow best practices?

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Securityby

Passed

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Quality

Content

77%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body delivers highly actionable, domain-specific guidance with a strong validated workflow and clear checkpoints. Its main weaknesses are dead references to absent bundle files and content that could be progressively disclosed into separate reference files.

Suggestions

Ship the referenced examples/LBO_Model.xlsx and recalc.py (or a local scripts/recalc.py) so the inline references resolve to real bundle files.

Move the long VERIFICATION CHECKLIST and COMMON ERRORS TO AVOID table into a references/ file (e.g. references/verification.md) and link to it from SKILL.md to improve progressive disclosure.

Trim repetition between the COMMON PROBLEM AREAS section and the verification checklist, and drop the closing paragraph that restates the description.

Dimension	Reasoning	Score
Conciseness	Mostly efficient and substantive — color conventions, the odd-dimension sensitivity rule, and beginning-balance circularity fix add genuine domain knowledge — but the ~270-line body repeats problem areas in the verification checklist and restates the intro in the closing line.	4 / 5
Actionability	Provides executable commands (recalc.py invocation), exact formula patterns (=-MAX(0,B4), =$A5, B$4), and precise hex codes/API calls, but references examples/LBO_Model.xlsx which is not present in the bundle and lacks a fully worked end-to-end example.	4 / 5
Workflow Clarity	Explicit section-by-section checkpoints with sign-off gates (Sources & Uses → Operating Model → Debt Schedule → Returns → Sensitivity), a validation command, and a "fix before next section" feedback loop, plus a comprehensive verification checklist.	5 / 5
Progressive Disclosure	No bundle files exist, yet the body references examples/LBO_Model.xlsx and /mnt/skills/public/xlsx/recalc.py that are not in the bundle (dead references), and the long verification checklist and errors table could be split into reference files rather than inlined.	3 / 5
	Total	16 / 20 Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description clearly and specifically communicates both what the skill does and when to invoke it, with strong trigger terms and a distinct PE/LBO niche. Minor improvements could add file extensions like .xlsx to the trigger terms.

Dimension	Reasoning	Score
Specificity	"fills in formulas, validates calculations, and ensures professional formatting standards" names the domain plus three concrete actions, with only minor coverage gaps versus the comprehensive five-anchor list.	4 / 5
Completeness	Explicitly answers both what ("fills in formulas, validates calculations, and ensures professional formatting standards") and when ("should be used when completing LBO... for private equity transactions, deal materials, or investment committee presentations") with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural terms like "LBO (Leveraged Buyout)", "Excel", "private equity transactions", "deal materials", and "investment committee presentations", but omits file extensions (.xlsx) and common synonyms.	4 / 5
Distinctiveness Conflict Risk	The LBO/private-equity niche has distinct, specific triggers and minimal overlap risk with other Excel or general finance skills.	5 / 5
	Total	18 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: anthropics/financial-services
Path: plugins/agent-plugins/model-builder/skills/lbo-model/SKILL.md
Commit: 69cbc81

Reviewed: 14 days ago

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