A/B test design and analysis

Workflow

Corey Haines’s experimentation skill covers hypothesis design, variants, sample size, traffic allocation and analysis, plus maintaining an experiment backlog.

Run this command in your project after reviewing the instructions and access terms. Install complete upstream directories to keep referenced rules and scripts.

npx skills add https://github.com/coreyhaines31/marketingskills/tree/e85f3cbc2e4a79bf33b2a12e9bdd9087d414735b/skills/ab-testing --skill ab-testing --agent claude-code

Project file: .claude/skills/ab-testing/SKILL.md

This brief helps you choose the skill. Read the complete upstream SKILL.md and companion files for its actual instructions.

# A/B test design and analysis (marketing-ab-testing)
Corey Haines’s experimentation skill covers hypothesis design, variants, sample size, traffic allocation and analysis, plus maintaining an experiment backlog.

## Use when
- Compare product or marketing variants with a defined outcome.

## Required inputs
- Baseline rate, traffic and proposed change
- Minimum effect of interest, constraints and test tooling

## Prerequisites
- Reliable event data and enough eligible traffic for the planned design.
- Low sample counts are not proof of a conversion uplift.

## Expected outputs
- Experiment specification and measurement plan
- Analysis criteria and result interpretation

Source: https://github.com/coreyhaines31/marketingskills/blob/e85f3cbc2e4a79bf33b2a12e9bdd9087d414735b/skills/ab-testing/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/marketing-ab-testing/SKILL.md