ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments,"…
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This is an agent skill (a SKILL.md) that guides an AI coding agent through planning, designing, and analyzing A/B tests and growth experimentation programs. It covers hypothesis framing, sample size, metrics, variant design, running and analyzing tests, plus running an ongoing experimentation program with ICE prioritization and a playbook.
Use it when you want statistically valid, structured A/B test guidance or help building a repeatable experimentation practice.
Use it to
- Design a hypothesis-driven A/B test
- Calculate sample size and test duration
- Choose primary, secondary, and guardrail metrics
- Build an experiment backlog with ICE scoring
- Document and analyze test results
For Growth and product teams running or starting A/B tests
- Host repository
- coreyhaines31/marketingskills
- Version
- 2.0.0
- Installs, lifetime
- 59k
- Installs, 8 weeks
- 24k
- Host stars
- 51k
- Host language
- JavaScript