AB Test Analysis skill: what it does and how to install it

What it does. Evaluates an experiment's hypothesis, setup, sample size, duration, randomisation and guardrail metrics, then calculates conversion rates, relative lift, p-values and confidence intervals. It can read CSV, Excel or analytics exports and generate Python calculations for raw data, saving a structured markdown summary.

When to use it. For checking whether an A/B test reached statistical and practical significance and deciding whether to ship a variant, extend the test, stop it or investigate trade-offs.