Individual skill
ab-test-readout
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
skills/ab-test-readout/SKILL.md
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# A/B Test Readout Skill
The hard part of an experiment is the readout: not "B won" but "is this real, is it big enough to matter, and should we ship?" This skill turns results into an honest decision — and flags the ways A/B results lie.
## Working from a brief
Given results (even partial), **write the full readout anyway**. If significance isn't provided, reason about it from the numbers and flag what's needed to confirm. Mark assumed figures. Never declare a winner without addressing significance and sample.
## Required Inputs
Ask for (if not already provided):
- **The hypothesis** and the **primary metric**
- **Results** — control vs variant: conversions/rate, sample size per arm, duration
- **Guardrail metrics** (revenue, retention, latency, complaints) that mustn't regress