Ad Test Designer
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"…
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments.
$ npx skills add borghei/Claude-Skills --skill ab-test-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills ab-test-setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing/ab-test-setup .claude/skills/ab-test-setup && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ab-test-setup" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/ab-test-setup into .claude/skills/ab-test-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/marketing/ab-test-setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add borghei/Claude-Skills --skill ab-test-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills ab-test-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/marketing/ab-test-setup .agents/skills/ab-test-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ab-test-setup" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/ab-test-setup into .agents/skills/ab-test-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill ab-test-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills ab-test-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/marketing/ab-test-setup .cursor/skills/ab-test-setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ab-test-setup" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/ab-test-setup into .cursor/skills/ab-test-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/borghei/Claude-Skills.git --path marketing/ab-test-setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add borghei/Claude-Skills --skill ab-test-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills ab-test-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/marketing/ab-test-setup .gemini/skills/ab-test-setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ab-test-setup" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/ab-test-setup into .gemini/skills/ab-test-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install borghei/Claude-Skills ab-test-setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add borghei/Claude-Skills --skill ab-test-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/marketing/ab-test-setup .github/skills/ab-test-setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ab-test-setup" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/ab-test-setup into .github/skills/ab-test-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill ab-test-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills ab-test-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/marketing/ab-test-setup .opencode/skills/ab-test-setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ab-test-setup" agent skill from https://github.com/borghei/Claude-Skills/tree/main/marketing/ab-test-setup into .opencode/skills/ab-test-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ab-test-setupDesign and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments.
Ab Test Setup is an agent skill from borghei/Claude-Skills. Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/ab-testing-guide.md`, `scripts/results_analyzer.py` and `scripts/sample_size_calculator.py`).
It sits in Marketing & SEO, covering A/B testing and Experimental design. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4a698e8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ab Test Setup loads about 1.2k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 395 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 395 words, ~1,198 tokens.
.claude/skills/ab-test-setup/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Production-ready A/B testing toolkit for calculating sample sizes, designing rigorous test plans, and analyzing results with statistical significance testing. Designed for growth teams, product managers, and marketers who need to make data-driven decisions from controlled experiments.
Before designing the test, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
# Calculate required sample sizes for a test
python scripts/sample_size_calculator.py --baseline 0.05 --mde 0.10 --power 0.80
# Design a complete A/B test plan
python scripts/test_designer.py test_config.json
# Analyze A/B test results
python scripts/results_analyzer.py results.json| Tool | Purpose | Input | Output |
|---|---|---|---|
sample_size_calculator.py | Sample size calculation | Baseline rate, MDE, power | Required samples + duration |
test_designer.py | Test plan design | JSON test config | Complete test plan document |
results_analyzer.py | Results analysis | JSON with test results | Statistical analysis + recommendation |
sample_size_calculator.py with baseline conversion and minimum detectable effecttest_designer.py to generate complete test planresults_analyzer.py to get statistical significanceresults_analyzer.py --batch on all resultsSee references/ab-testing-guide.md for comprehensive methodology covering:
{
"test_name": "Homepage CTA Button Color",
"hypothesis": "Changing the CTA button from blue to green will increase click-through rate",
"metric_primary": "cta_click_rate",
"metric_secondary": ["signup_rate", "bounce_rate"],
"baseline_rate": 0.045,
"minimum_detectable_effect": 0.10,
"significance_level": 0.05,
"power": 0.80,
"variants": [
{"name": "control", "description": "Current blue CTA button"},
{"name": "treatment", "description": "Green CTA button"}
],
"daily_traffic": 5000,
"allocation": {"control": 0.50, "treatment": 0.50}
}{
"test_name": "Homepage CTA Button Color",
"variants": {
"control": {"visitors": 12500, "conversions": 563},
"treatment": {"visitors": 12500, "conversions": 625}
},
"metric": "cta_click_rate",
"significance_level": 0.05
}| Context | Small Effect | Medium Effect | Large Effect |
|---|---|---|---|
| Conversion Rate | 2-5% relative | 5-15% relative | > 15% relative |
| Revenue per User | 1-3% | 3-8% | > 8% |
| Engagement Rate | 3-5% | 5-10% | > 10% |
© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts, references) in marketing/ab-test-setup of borghei/Claude-Skills.
Open the folder on GitHubat commit 4a698e8
Ab Test Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ab Test Setup this skillborghei/Claude-Skills | 881 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Ad Test Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Ab Test Analyzeririnabuht12-oss/marketing-skills | 3.9k | — | ~1.4k | Automated safety check: Pass | None | |
| Define Hypothesisproduct-on-purpose/pm-skills | 715 | — | ~966 | Automated safety check: Pass | Apache-2.0 | |
| A B Test DesignOwl-Listener/designer-skills | 2.9k | 1 repos | ~472 | Automated safety check: Pass | MIT | |
| Ab Test Planindranilbanerjee/digital-marketing-pro | 855 | 1 repos | ~2k | Automated safety check: Pass | MIT |
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"…
irinabuht12-oss/marketing-skills
Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation.
product-on-purpose/pm-skills
Defines a testable hypothesis with clear success metrics and a validation approach.
Owl-Listener/designer-skills
Design an A/B experiment — hypothesis, variants, primary metric, and sample size.
indranilbanerjee/digital-marketing-pro
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via…
ericrisco/rsc-harness
A skill your agent uses when designing or analyzing a controlled experiment — falsifiable hypothesis, sample size from an MDE, reading significance/CI/power, CUPED, or rescuing tests that won't go…
borghei/Claude-Skills
Run delivery when AI coding and ops agents take tickets. An agent skill from borghei/Claude-Skills.
borghei/Claude-Skills
Check AI-generated marketing content and reviews for required disclosures under the EU AI Act, FTC rules and platform AI-label policies.
borghei/Claude-Skills
Idea to AI-generated prototype to customer validation to engineering handoff.
borghei/Claude-Skills
Analytics engineering across data modeling, dbt, transformation, and semantic layers.
borghei/Claude-Skills
Ansoff Matrix — 4-quadrant framework for growth options: market penetration, market/product development, and diversification.
borghei/Claude-Skills
OKR brainstorming and validation using the Radical Focus framework — outcome objectives, measurable key results, counter-metrics.
Categories
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Ab Test Setup is an agent skill from borghei/Claude-Skills. Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments.
Ab Test Setup fits situations like: setting up an A/B test; calculating sample size; designing an experiment; analyzing results.
Run `npx skills add borghei/Claude-Skills --skill ab-test-setup -a claude-code`. Or copy the skill folder (marketing/ab-test-setup in borghei/Claude-Skills) into .claude/skills/ab-test-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add borghei/Claude-Skills --skill ab-test-setup -a codex`. Or copy the skill folder (marketing/ab-test-setup in borghei/Claude-Skills) into .agents/skills/ab-test-setup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill ab-test-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ab-test-setup, .gemini/skills/ab-test-setup, .github/skills/ab-test-setup and .opencode/skills/ab-test-setup in your project.
Going by SKILL.md and its folder, Ab Test Setup needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Ab Test Setup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ab Test Setup: Ad Test Designer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Ab Test Analyzer (irinabuht12-oss/marketing-skills, 3.9k stars), Define Hypothesis (product-on-purpose/pm-skills, 715 stars) and A B Test Design (Owl-Listener/designer-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.