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coreyhaines31/ab-test-setup

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Equip AI agents with structured A/B testing workflows for marketing experiments.

SkillsAgent Skills 33.4kOpen source
View on GitHub
Updated 2026-06-16
coreyhaines31/ab-test-setup GitHub repository

What is coreyhaines31/ab-test-setup?

The ab-testing skill delivers markdown-based instructions that guide AI agents through experiment design, hypothesis creation, and statistical analysis. It ensures every test starts by referencing core product-marketing details before proceeding to setup and measurement.

Agents follow step-by-step workflows that cover variant creation, traffic allocation, success metrics, and post-test review. Cross-references to related skills like CRO and analytics keep experiments consistent with broader marketing efforts.

Built for founders and technical marketers who want reliable experimentation support from agents in Cursor, Windsurf, or similar environments without starting from scratch each time.

What you can build with coreyhaines31/ab-test-setup

Signup page optimization

Design and launch tests on headline, CTA, and form length to improve conversion rates while tracking statistical significance.

Pricing experiment program

Build a sequence of tests comparing pricing tiers, discount structures, and payment options with clear rollout criteria.

Email campaign variants

Create controlled tests for subject lines, send times, and content blocks to lift open and click-through rates.

Install coreyhaines31/ab-test-setup

Quick start
# Install all skills
npx skills add coreyhaines31/marketingskills

# Install specific skills
npx skills add coreyhaines31/marketingskills --skill cro copywriting

# List available skills
npx skills add coreyhaines31/marketingskills --list
  1. 1Clone the marketingskills repository to your local project folder.
  2. 2Copy the ab-testing skill markdown file into your agent's skills directory.
  3. 3Ensure the product-marketing skill is also present so the agent reads positioning first.
  4. 4Open your agent in Claude Code or Cursor and reference the skill when starting an experiment.
  5. 5Ask the agent to plan your first test and follow the generated workflow.

coreyhaines31/ab-test-setup: pros & cons

Pros

  • +Provides consistent experiment structure that reduces common testing mistakes.
  • +Integrates cleanly with other marketing skills for end-to-end workflows.
  • +Works across multiple popular AI coding agents without extra setup.
  • +Open source so users can extend or customize the frameworks.

Cons

  • –Requires the full skill set to be added to each project manually.
  • –Limited to guidance rather than automated test execution or reporting.
  • –Best suited for users already comfortable with terminal-based agents.
Did you find this helpful?

Frequently asked questions

No, it supplies structured guidance and templates so the agent can help you design and document tests that you implement yourself.

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