Conciseness

Most of the body is lean, domain-specific guidance, but the "Statistical foundations" section re-teaches concepts Claude already knows ("A 95% significance level means: if there were truly no difference between variants, there's only a 5% chance...", peeking bias, Bonferroni), and "Failure patterns" substantially duplicates "Common test setup mistakes" (peeking, early stopping, atypical periods, underpowered tests). These are more than minor instances of over-explanation, keeping it below 4, while the bulk of the framework content earns its tokens, keeping it above 2.

Actionability

Guidance is fully concrete throughout: a hypothesis template with a worked example, ICE/PIE scoring ("Score each 1 to 10"), a pre-launch parameters checklist, a decision framework table with explicit thresholds (">95% significance, exceeds minimum effect"), a sample-size quick-reference table, and a copy-paste-ready markdown output template. Per the rubric's instruction-only note, the absence of code is not penalized when guidance is this actionable.

Workflow Clarity

The 10-step workflow over the 4-phase framework is clearly sequenced with explicit validation checkpoints: "QA carefully (broken variants invalidate tests)", "Don't peek. Don't stop early", pre-defined ship/kill/extend decision criteria, and guardrail metrics. Feedback loops for error recovery are explicit ("Kill. Capture the lesson. Iterate hypothesis" and "Compound. Apply lessons to next round of hypotheses"), matching the top anchor.

Progressive Disclosure

Structure is good: the hypothesis pattern library is correctly externalized to a verified one-level-deep reference ("references/hypothesis-library.md - Common high-impact hypothesis patterns by funnel stage") that exists in the bundle and is clearly signaled. However, the ~270-line body inlines the statistics primer and sample-size table — content that could be split out the same way the hypothesis library was — representing the minor organization gaps of the 4 anchor rather than the fully appropriate split of 5.

Specificity

The description lists multiple concrete actions covering the full CRO pipeline: "audit, hypothesis generation, test design, statistical analysis, and rollout decisions" — comprehensive coverage with no notable gaps, matching the top anchor rather than the 'minor gaps' anchor at 4.

Completeness

Both questions are explicitly answered: the 'what' ("Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions") and the 'when' ("Use this skill whenever the user wants to optimize conversion, run A/B tests, audit a funnel, generate test hypotheses, design experiments, or analyze test results") with concrete trigger phrases. Voice is third-person ("Run...", "Use this skill"), so no person penalty applies.

Trigger Term Quality

Trigger coverage is comprehensive and natural: "conversion optimization, CRO, A/B test, split test, multivariate test, hypothesis, conversion funnel, funnel audit, experiment design, statistical significance, lift, optimization" — includes the acronym, synonyms (A/B/split/multivariate), and phrases a user would naturally say; no common variations are missing.

Distinctiveness Conflict Risk

The CRO niche is clear and most triggers are domain-specific, but bare terms like "optimization", "hypothesis", and "statistical significance" could also match closely related analytics or experimentation skills, and the description carries no boundary disambiguation — minor overlap risk rather than the minimal-conflict profile of the top anchor.