Making decisions based on A/B test data is easier with the right analysis. This skill helps you check if your test results are statistically significant and if your sample size is large enough. It gives you clear recommendations on whether to ship the change, extend the test, or stop it.
You can use it after running a split test or experiment. It validates the test setup, calculates p-values and confidence intervals, and checks for any negative effects on other metrics. The output is a simple table with a final decision you can trust.
No need to be a statistics expert. Just provide your data or describe the experiment. The skill will handle the math and tell you what to do next.
Global
mkdir -p ~/.claude/skills/ab-test-analysisProject
mkdir -p .claude/skills/ab-test-analysisSource Repository
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