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ai-readiness

Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time. Ingests quarterly updates and financials across multiple portfolio companies, identifies quick wins at each, and stacks them into a single ranked action list. Use during quarterly portfolio reviews, annual planning, or when deciding which companies get AI investment first. Triggers on "AI readiness", "AI opportunity scan", "where should we deploy AI", "AI across the portfolio", "AI quick wins", or "which portcos are ready for AI".

72

Quality

87%

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SKILL.md
Quality
Evals
Security

Quality

Content

75%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 content is a dense, well-sequenced instruction skill that assumes Claude's competence and delivers specific, actionable guidance throughout. It is held back only slightly by minor prose that could tighten and a few unspecified placeholders.

Suggestions

Tighten the narrative asides in Step 4 and Step 5 (e.g., 'The highest-leverage move in a portfolio is...') to pure directives to lift conciseness.

Replace unspecified placeholders like '>$Xm in AP volume' with a concrete threshold or an explicit instruction to let the user set it.

Add an explicit data-completeness check before Step 3 ranking (e.g., confirm each company has sector, revenue, headcount, tech stack) to add a validation checkpoint to the workflow.

DimensionReasoningScore

Conciseness

The body is lean and assumes domain competence (uses EBITDA, CIM, LTM, prior-auth, MSA without defining them), with every section delivering actionable guidance; a few narrative asides in Steps 4–5 could be trimmed slightly.

4 / 5

Actionability

Gives concrete, specific guidance — exact fields to extract, three gate questions, named leverage-point patterns, three ranking dimensions, and a filled output table template — though it leaves a few placeholders ('$Xm in AP volume') unspecified.

4 / 5

Workflow Clarity

A clearly sequenced five-step workflow with decision checkpoints (the gate questions in Step 2, the Go/Wait gates, the 'What we're NOT doing' filter); minor validation gaps around confirming data completeness before ranking.

4 / 5

Progressive Disclosure

Well-organized into labeled sections (Workflow, Important Notes) with no nested references and no bundle files present; the ~95-line self-contained body is appropriately structured, though a couple of reference-style lists could be split out.

4 / 5

Total

16

/

20

Passed

Description

100%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 is exemplary: third-person voice, concrete actions, explicit use-when guidance, and a rich set of natural trigger phrases. It clearly communicates both capability and activation context with no padding.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Scan the portfolio', 'Ingests quarterly updates and financials', 'identifies quick wins', 'stacks them into a single ranked action list' — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly answers both 'what' (scan, ingest, identify, stack into ranked list) and 'when' (quarterly portfolio reviews, annual planning, deciding AI investment priority) with concrete trigger phrases, hitting the top anchor.

5 / 5

Trigger Term Quality

Provides natural user-spoken phrases including synonyms and variations — 'AI readiness', 'AI opportunity scan', 'where should we deploy AI', 'AI quick wins', 'which portcos are ready for AI' — matching the comprehensive-coverage anchor.

5 / 5

Distinctiveness Conflict Risk

Targets a clear niche — operating-partner AI deployment across a PE portfolio — with distinctive triggers unlikely to fire for unrelated skills, giving minimal conflict risk.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
anthropics/financial-services
Reviewed

Table of Contents

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