Lists multiple specific concrete actions: audit, hypothesis generation, test design, statistical analysis, and rollout decisions. These are clearly defined stages of a CRO workflow.

Clearly answers both 'what' (hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, rollout decisions) and 'when' (explicit 'Use this skill whenever...' clause plus detailed trigger list and edge-case scenarios).

Excellent coverage of natural terms users would say: 'conversion optimization', 'CRO', 'A/B test', 'split test', 'multivariate test', 'funnel audit', 'statistical significance', 'lift'. Also covers ambiguous scenarios like 'conversion problem and isn't sure where to start'.

Occupies a clear niche around conversion rate optimization and A/B testing. The specific domain terminology (CRO, funnel audit, split test, statistical significance, lift) makes it highly unlikely to conflict with general analytics or marketing skills.

The skill is generally well-structured but includes some content Claude already knows (e.g., explaining what 95% significance means, basic statistical concepts). The statistical foundations section and some of the anti-patterns/failure patterns sections could be tightened. However, the domain-specific frameworks (hypothesis structure, ICE/PIE, decision matrix) earn their tokens.

The skill provides highly concrete, actionable guidance: a specific hypothesis template with fill-in-the-blank structure, a complete sample size reference table, a decision framework table with clear conditions, a full output file template with exact markdown structure, and specific criteria for when to ship/kill/extend. While there's no executable code (appropriate for a strategy/process skill), every section gives specific, copy-paste-ready frameworks.

The 10-step workflow is clearly sequenced with explicit validation checkpoints (e.g., 'Don't peek. Don't stop early,' decision criteria defined before launch, QA step before running). The decision framework table provides clear feedback loops for different outcomes, and the test design section explicitly addresses common mistakes that would invalidate results. The audit→hypothesize→test→decide framework is well-structured with clear phase gates.

The skill references one external file (references/hypothesis-library.md) and cross-references two other skills (landing-page-copy, analytics-strategy), which is good. However, the content is quite long (~300 lines) and some sections like the statistical foundations and the extensive failure patterns list could be split into reference files. The inline content is well-organized with clear headers but could benefit from more aggressive splitting.