Does it support specific testing tools?

Yes, it provides implementation guidance for popular tools like PostHog, Optimizely, VWO, and LaunchDarkly across both client-side and server-side setups.

What is the A/B Test Setup skill?

It is a specialized capability for Claude Code that provides expert-level guidance on planning, designing, and implementing scientific A/B and multivariate tests.

When should I use this skill instead of page-cro?

Use this skill when you already have a hypothesis or specific change you want to test; use page-cro when you need ideas for what to optimize on a page.

How does it help with statistical significance?

The skill includes logic for calculating required sample sizes based on baseline conversion rates and minimum detectable effects to ensure results are valid.

What kind of reports does this skill generate?

It produces standardized Markdown artifacts including Experiment Briefs, Pre-launch QA Checklists, and Results Analysis Reports.

A/B Testing & Experimentation

Name: A/B Testing & Experimentation
Author: oabdelmaksoud

byoabdelmaksoud

0•

마케팅 자동화

Designs and implements statistically valid A/B tests to optimize conversion rates and user behavior through scientific experimentation.

The A/B Test Setup skill transforms Claude into an experimentation expert, moving beyond guesswork to data-driven decision making. It guides users through the entire lifecycle of an experiment, from formulating strong hypotheses and calculating required sample sizes to selecting guardrail metrics and performing post-test statistical analysis. Whether you are testing landing page copy, UI layouts, or pricing strategies, this skill ensures your tests are rigorous, actionable, and free from common pitfalls like 'peeking' or insufficient traffic allocation.

주요 기능

01Primary, secondary, and guardrail metric selection guidance

02Standardized experiment briefs and post-test analysis reports

03Technical implementation strategies for client-side and server-side testing

04Sample size and test duration calculators for statistical rigor

050 GitHub stars

06Hypothesis framework for structured experiment planning

사용 사례

01Resolving design debates by comparing multiple UI variants with real user data

02Validating pricing changes or feature placements before a full-scale rollout

03Optimizing landing page conversion rates by testing value propositions or CTAs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw ab-test-setup

For use in Claude.ai and ChatGPT

주요 기능

01Primary, secondary, and guardrail metric selection guidance

02Standardized experiment briefs and post-test analysis reports

03Technical implementation strategies for client-side and server-side testing

04Sample size and test duration calculators for statistical rigor

050 GitHub stars

06Hypothesis framework for structured experiment planning

사용 사례

01Resolving design debates by comparing multiple UI variants with real user data

02Validating pricing changes or feature placements before a full-scale rollout

03Optimizing landing page conversion rates by testing value propositions or CTAs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw ab-test-setup

For use in Claude.ai and ChatGPT