data-science-experimentation
Installation
SKILL.md
Experimentation
Purpose
Design and analyze rigorous A/B tests and experiments. Enforce proper sample size planning, pre-registration, statistical methods, guardrail monitoring, and decision frameworks.
Agent Protocol
Trigger
Exact user phrases: "A/B test", "experiment", "randomized trial", "sample size", "power analysis", "hypothesis test", "p-value", "multiple testing", "guardrail metric", "experiment design", "treatment effect", "H0", "alternative hypothesis", "statistical significance", "practical significance", "MDE", "minimum detectable effect".
Input Context
- Experiment type (A/B, multivariate, MAB, switchback)
- Primary metric(s) and their baseline values
- Minimum detectable effect (MDE) in absolute or relative terms
- Traffic volume and expected experiment duration
- Unit of randomization (user, session, cluster)
- Guardrail metrics and acceptable thresholds
- Regulatory and ethical considerations
- Existing experiment platform and tooling