The description uses vague language like 'plan, design, or implement' without listing concrete actions. It doesn't specify what the skill actually does - no mention of specific capabilities like creating test variants, calculating sample sizes, or analyzing results.

The 'when' is explicitly and thoroughly covered with trigger terms and use cases. However, the 'what' is weak - it only says 'plan, design, or implement' without explaining what concrete actions or outputs the skill provides.

Excellent coverage of natural trigger terms users would say: 'A/B test,' 'split test,' 'experiment,' 'test this change,' 'variant copy,' 'multivariate test,' 'hypothesis.' These are all terms users would naturally use when needing this skill.

Clear niche with distinct triggers specific to A/B testing and experimentation. The explicit mention of trigger terms and the cross-reference to analytics-tracking for related but different functionality helps avoid conflicts.

The content is generally efficient but includes some unnecessary framing ('You are an expert...') and explanatory text that Claude already knows (e.g., explaining what statistical significance means, what peeking is). The tables and frameworks are well-structured but could be tighter.

Provides concrete frameworks (hypothesis structure with fill-in template), specific sample size tables, clear checklists, and actionable decision matrices. The examples distinguish weak vs strong hypotheses effectively, and the implementation section names specific tools.

Clear sequential workflow from initial assessment through hypothesis creation, test design, implementation, running, and analysis. Includes explicit pre-launch checklist with validation steps, DO/DON'T guidance during execution, and a structured analysis checklist.

Well-organized with clear sections, appropriate use of tables for quick reference, and explicit references to deeper materials (sample-size-guide.md, test-templates.md). Content is appropriately split between overview and detailed references.