A/B Test Plan is an SEO skill for Claude Code, published by indranilbanerjee in digital-marketing-pro.
A/B Test Plan designs a statistically rigorous experiment with a clear hypothesis, control and variant specs, sample size, duration, guardrails, and stopping rules. Use it to plan marketing tests before launch and decide whether to ship, extend, or stop.
A/B Test Plan is cataloged under SEO on DirSkills. A/B Test Plan comes from a repository tagged aeo, agent-skills, ai-marketing, c2pa and claude-code.
Documentation
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.
The user must provide (or will be prompted for):
This is the opening of the README. Read the full README on GitHub.
A/B Test Plan is one of 25 skills that DirSkills catalogs from indranilbanerjee/digital-marketing-pro, the repository it ships in. Its siblings there include AEO Audit, AEO/GEO Intelligence and Ad Creative. Each one is a separate skill with its own page in this directory, installs the same way A/B Test Plan does, and is maintained by indranilbanerjee in that same repository. The rest of the collection is listed on the indranilbanerjee/digital-marketing-pro page.
A/B Test Plan ranks #108 by stars among the 164 SEO skills in this catalog. The most-starred ones next to it are App Store Optimization, Answer Engine Optimization and SEO Analysis. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of A/B Test Plan against them. Open each page to compare what they document and how they install.
A/B Test Plan is one of 25 skills cataloged on DirSkills from indranilbanerjee/digital-marketing-pro.
A/B Test Plan is one of 164 SEO skills cataloged on DirSkills, ranked #108 by stars among them.