📊
DataPython

Ad Test Designer

by aaron-he-zhu

Ad Test Designer is a Data skill for Claude Code, published by aaron-he-zhu in aaron-marketing-skills.

2.6K stars347 forkson aaron-he-zhu/aaron-marketing-skillsAdded 2026/08/18+1% in starsRepository updated 2026/08/18
agent-skillsbrand-messagingbrand-narrativeclaude-codeclaude-skillscontent-optimizationcreator-marketingemail-marketinggenerative-engine-optimizationgeoinfluencer-marketingmarketingmarketing-automationorganic-socialpaid-advertisingproduct-huntproduct-launchroasseosocial-media-marketing
Install in seconds
Install Ad Test Designer
Copy Ad Test Designer into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/ad/orchestrate/ad-test-designer ~/.claude/skills/ad-test-designer

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/aaron-he-zhu/aaron-marketing-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
ad/orchestrate/ad-test-designer/SKILL.md in aaron-he-zhu/aaron-marketing-skills
Installs to
~/.claude/skills/ad-test-designer
Collection
One of 25 skills cataloged from this repository
Category
Data668 skills

What Ad Test Designer does

Ad Test Designer plans paid-ad creative and landing-page A/B/n and incrementality tests and reads out their results: hypothesis, variant matrix, sample-size/duration/power plan, effect size, uncertainty, and practical significance. Use it when you need to design a test or judge whether a finished test result is statistically and practically material.

Ad Test Designer is cataloged under Data on DirSkills. Ad Test Designer comes from a repository tagged agent-skills, brand-messaging, brand-narrative, claude-code and claude-skills.

Documentation

README

Ad Test Designer

Designs paid-ad creative/landing A/B/n and incrementality tests and reads them out: hypothesis, variant matrix, sample-size/duration/power plan, effect size, uncertainty, practical-effect status, and guardrail state. This skill owns experiment design + statistical interpretation. It may apply an owner-approved, precommitted action rule, but it never treats a p-value or helper output as an automatic business decision. It does not produce variants (ad-creative-builder), read back one already-shipped change (paid-measurement-loop), or do cross-channel reporting (performance-analyzer).

Quick Start

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Ad Test Designer

  • What else does aaron-he-zhu publish alongside Ad Test Designer?

    Ad Test Designer is one of 25 skills that DirSkills catalogs from aaron-he-zhu/aaron-marketing-skills, the repository it ships in. Its siblings there include Ad Account Auditor, Ad Creative Builder and Attribution Reconciler. Each one is a separate skill with its own page in this directory, installs the same way Ad Test Designer does, and is maintained by aaron-he-zhu in that same repository. The rest of the collection is listed on the aaron-he-zhu/aaron-marketing-skills page.

  • How does Ad Test Designer compare to other Data skills?

    Ad Test Designer ranks #302 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. 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 Ad Test Designer against them. Open each page to compare what they document and how they install.

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