Does this skill help with technical implementation?

Yes, it provides guidance on both client-side and server-side testing implementations using tools like PostHog, Optimizely, and LaunchDarkly.

Why should I use this instead of just asking Claude for ideas?

This skill enforces a standardized methodology, including hypothesis frameworks and guardrail metrics, ensuring that experimentation follows industry best practices.

How does it help with statistical rigor?

The skill includes logic for pre-determining sample sizes, defining p-value thresholds, and avoiding 'the peeking problem' to ensure test results are statistically significant.

What is the ab-test-setup Claude Code Skill?

It is a specialized plugin for Claude Code that provides domain-specific guidance for planning, implementing, and analyzing marketing experiments and A/B tests.

A/B Test Setup & Experimentation

Name: A/B Test Setup & Experimentation
Author: oabdelmaksoud

byoabdelmaksoud

0•

マーケティングオートメーション

Guides the planning, design, and statistical analysis of A/B tests and experiments to ensure valid, actionable results.

The A/B Test Setup skill transforms Claude into an experimentation expert, providing a structured framework for designing and executing statistically rigorous tests. It assists in developing clear hypotheses, calculating required sample sizes, and selecting primary, secondary, and guardrail metrics to protect business value. By integrating with your existing product marketing context, it ensures that every experiment—from simple copy changes to complex pricing adjustments—is aligned with your audience and produces data-driven insights rather than guesswork.

主な機能

01Structured hypothesis framework to define specific, measurable outcomes

02Statistical significance analysis and result interpretation checklist

03Sample size and test duration calculators based on baseline conversion and MDE

04Comprehensive metric selection including primary, secondary, and guardrail metrics

050 GitHub stars

06Guidance on variant design, traffic allocation, and technical implementation

ユースケース

01Designing multivariate tests (MVT) for complex user flow improvements

02Validating pricing strategy changes with controlled experiment groups

03Optimizing landing page conversion rates through copy and visual variant testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/agention ab-test-setup

For use in Claude.ai and ChatGPT

主な機能

01Structured hypothesis framework to define specific, measurable outcomes

02Statistical significance analysis and result interpretation checklist

03Sample size and test duration calculators based on baseline conversion and MDE

04Comprehensive metric selection including primary, secondary, and guardrail metrics

050 GitHub stars

06Guidance on variant design, traffic allocation, and technical implementation

ユースケース

01Designing multivariate tests (MVT) for complex user flow improvements

02Validating pricing strategy changes with controlled experiment groups

03Optimizing landing page conversion rates through copy and visual variant testing