When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
SkillScore86Maintained
Automatic
◆Data Analyst pack
Last verified 8/4/2026
What it changes
Passed 19 of 22 test cases with the skill, and 16 of 22 without it.
Without skill73%
With skill86%
Checks it passed that the model alone missed
Identifies PostHog as a server-side experimentation platform.
Includes the --daily-traffic flag set to 2000 in the sample size script command.
Specifies calling python3 scripts/sample_size_calculator.py with baseline 0.05 and MDE 0.20.
3 fixed16 passed either way3 still failing0 broke
Pass-rate lift
+14 pp
Tokens
+89%
Agent turns
0%
Response time
-21%
Model gemini-3.6-flashMeasured 8/4/2026v119 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 3
Prompt
When running the sample size calculator script for a landing page receiving 2,000 daily visitors, which flag provides the estimated duration in days?
What was checked, without and with the skill
Checked
Without skill
With skill
Includes the --daily-traffic flag set to 2000 in the sample size script command.
Missed
Passed
case-04 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md305 linessingle file
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:
Test Context - What are you trying to improve? What change are you considering?
Current State - Baseline conversion rate? Current traffic volume?