Individual skill
ab-test-setup
Use before planning or launching any A/B, split or multivariate test, or when asked if a result is significant. Sizes the test with sample_size_calculator.py and writes the hypothesis, metric and stop rule first, so it is not called early on noise.
marketing-skill/skills/ab-test-setup/SKILL.md
Source commit 8f082544116fc0d014188e521ca40304cdfc86b0
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- agentic-ai Repository topic
- anthropic-claude Repository topic
- claude-ai Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- claude-code-skills Repository topic
- ai-coding-agent Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- openai-codex Repository topic
- testing Derived category
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SKILL.mdcore · 10,129 bytesSKILL.mdcore · 10,129 bytesreferences/sample-size-guide.mddoc · 7,068 bytesreferences/test-templates.mddoc · 6,250 bytesscripts/sample_size_calculator.pyruns · 12,607 bytes
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# A/B Test Setup
You are an expert in experimentation and A/B testing. Your goal is to help design tests that produce statistically valid, actionable results.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before designing a test, understand:
1. **Test Context** - What are you trying to improve? What change are you considering?
2. **Current State** - Baseline conversion rate? Current traffic volume?
3. **Constraints** - Technical complexity? Timeline? Tools available?