Plan and run statistically valid A/B, multivariate, and split URL experiments.
npx skills add https://github.com/sneha835/Sneha --skill ab-test-setup-sneha835
Please help me install this Agent Skill. Skill: ab-test-setup Source: https://github.com/sneha835/Sneha/tree/main/.claude/skills/ab-test-setup Command: npx skills add https://github.com/sneha835/Sneha --skill ab-test-setup-sneha835
This skill helps product, marketing, and growth teams design and run statistically valid experiments to determine the best performing changes, reducing guesswork and accelerating evidence-based decisions.
Define the test context and baseline metrics, write a clear hypothesis, choose a suitable test type, calculate the required sample size, implement the variants, and start the experiment with predefined success criteria.
High-intent search queries and answers about installing and using this skill.
To calculate A/B test sample size and duration, you need baseline conversion rates, minimum detectable effect, and statistical power. This skill enforces formal pre-commit duration planning and sample-size calculation to ensure tests reach statistical significance.
The best way to structure a conversion rate experimentation hypothesis is using a formal structure: "Because observations/data, we believe changes will cause outcomes." This skill enforces this hypothesis-driven test design to reduce guesswork in growth experiments.
Yes, you can use this skill for multivariate testing and split URL experiments. It supports A/B, A/B/n, MVT, and split URL testing across product, marketing, and growth contexts to help determine the best performing changes.
Defining primary, secondary, and guardrail metrics requires aligning them with your experiment's goals and risk thresholds. This skill provides guidance on selecting these metrics to ensure rigorous result interpretation and protect against negative downstream impacts.
You should choose multivariate testing over a standard A/B test when you need to understand the interaction effects between multiple changes simultaneously. This skill helps determine the suitable test type based on your specific experimentation needs and variant design.
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