.claude/skills/ab-testingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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 p…
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These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/ab-testingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ab-testingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ab-testingRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @jiweiyeah/ab-testingclawhub inspect @jiweiyeah/ab-testing --version 1.0.1This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:9df01d329d1992e59433ba5b3cdac81fead3d6d1edefe45c15ffab10fadae837evals/evals.jsonreferences/sample-size-guide.mdreferences/test-templates.mdskill-card.mdSKILL.md- Major update: Expanded skill to cover full A/B test and experimentation program setup, design, and analysis. - Added detailed guidelines on hypothesis creation, sample size calculation, metric selection, and test implementation. - Included experiment types, traffic allocation strategies, and variant design best practices. - Outlined step-by-step workflow for running, monitoring, and analyzing tests. - Introduced growth experimentation program guidance, including prioritization and backlog management. - Clarified distinction between experimentation and related skills (analytics, CRO).