ab-test-analyzer

Quick Review

This skill has a clear structure but lacks substantive content. The description is circular and vague ('ab test analyzer' repeated without explaining what it does). There's no actual task knowledge - no statistical methods (t-tests, chi-square, confidence intervals), no sample size calculations, no code for A/B test analysis, and no guidance on interpreting results. While A/B testing is a valuable domain where automation could reduce tokens (calculating statistical significance, power analysis, handling multiple variants), this implementation provides no concrete methodology or tools. The skill reads as a template that hasn't been filled in with domain-specific content. To be useful, it needs: statistical test procedures, significance calculation methods, sample size formulas, visualization templates, and interpretation frameworks.