AI Agent Skills

Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs rela…

Design, plan, and analyze A/B tests with statistical rigor. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, sample…

Use when designing or analyzing a controlled experiment — falsifiable hypothesis, sample size from an MDE, reading significance/CI/power, CUPED, or rescuing tests that w…

Compares A/B variants of a WebAsk survey and checks whether the difference is real or within noise. Use when someone asks which variant performs better or is about to ma…

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experimen…

Generate A/B test variants for affiliate content. Triggers on: "create A/B test", "test my headline", "optimize my CTA", "generate variants", "split test ideas", "improv…

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

:ab: Tool to compare two revisions of a class API to check for BC breaks

Entry point and router for the lyric writing library (作词工作流与路由). The two workflows that fork at the very first question - music-first versus lyrics-first - and their dif…

Gibt eine eng umrissene Codeaufgabe an den {marke}-Agenten ab und holt sie als geprueften Patch zurueck – spart Anthropic-Tokens bei mechanischer Breitenarbeit.

Validating A/B test implementations including traffic splitting accuracy, statistical significance calculation, metric tracking, and experiment cleanup.