ab-testing

ab-testing is an Experimentation & statistics skill for AI agents, published by coreyhaines31 in the marketingskills repository on GitHub. Skillspace rates ab-testing C (71/100) and it passed the safety scan; a judge model has also reviewed it.

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," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

49,936

Placed #2 of 4 when judged against its near-duplicates in Experimentation & statistics.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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