# Ab Test Plan

Plan an A/B test by script: sample size per variant, days to run, stopping rules.

- Repository: https://github.com/indranilbanerjee/digital-marketing-pro (921 stars)
- Category: Testing
- License: MIT
- Last updated: 2026-10-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add indranilbanerjee/digital-marketing-pro --skill ab-test-plan -g -a claude-code -y`
Codex: `npx skills add indranilbanerjee/digital-marketing-pro --skill ab-test-plan -g -a codex -y`
Cursor: `npx skills add indranilbanerjee/digital-marketing-pro --skill ab-test-plan -g -a cursor -y`
Gemini CLI: `npx skills add indranilbanerjee/digital-marketing-pro --skill ab-test-plan -g -a gemini-cli -y`

## Description

Plan an A/B test by script: sample size per variant, days to run, stopping rules. \"how many visitors per variant\

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# /digital-marketing-pro:ab-test-plan

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## Purpose

Dedicated A/B test planning with a structured hypothesis framework, statistical sample size calculation, variant design, and monitoring plan. Produces a complete experiment specification with statistical rigor and clear decision criteria.

## Input Required

The user must provide (or will be prompted for):

The rest: https://github.com/indranilbanerjee/digital-marketing-pro/blob/HEAD/skills/ab-test-plan/SKILL.md