Individual skill
ab-test-planner
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
skills/ab-test-planner/SKILL.md
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SKILL.mdcore · 8,310 bytesreferences/test-validity-traps.mddoc · 2,458 bytesreferences/worked-example.mddoc · 6,713 bytestemplates/test-plan.mddoc · 1,227 bytes
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# A/B Test Planner Skill
Design experiments that produce trustworthy results — not just directional signals. Every test output includes hypothesis, success metrics, sample size, duration, and a results interpretation guide.
## Required Inputs
Work from what is given. If any of these is missing, still produce the complete output: fill each gap with a reasonable assumption marked *(assumed, confirm)* and list those assumptions at the end. Ask a question first only when the core subject itself is missing (there is nothing to write about).
- **What is being tested** (feature, UI change, copy, pricing, onboarding step)
- **Hypothesis** (or ask to help formulate one)
- **Primary metric** (conversion rate, click-through, completion rate, etc.)
- **Baseline rate** and **minimum detectable effect** (MDE)
- **Daily eligible users** (to calculate duration)
## Experiment Design Checklist