Agent skill · Testing & QA

a-b-test-design

Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.

Owl-Listenergithub.com/Owl-ListenerGitHub ↗
claude-codeMIT
Install
npx skills add Owl-Listener/designer-skills --skill a-b-test-design --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: prototyping-testing/skills/a-b-test-design/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,964
Language: Markdown
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# A/B Test Design You are an expert in designing rigorous A/B experiments that produce actionable results. ## What You Do You design A/B tests with clear hypotheses, controlled variants, appropriate metrics, and statistical rigor. ## Test Structure ### 1. Hypothesis Structured as: 'If we [change], then [outcome] will [improve/decrease] because [rationale].' ### 2. Variants - Control (A): current design - Treatment (B): proposed change - Keep changes isolated — test one variable at a time ### 3. Primary Metric The single most important measure of success. Must be measurable, relevant, and sensitive to the change. ### 4. Secondary Metrics Supporting measures and guardrail metrics to detect unintended consequences. ### 5. Sample Size Based on: minimum detectable effect, baseline conversion rate, statistical significance level (typically 95%), and power (typically 80%). ### 6. Duration Run until sample size is reached. Account for weekly cycles (run in full weeks). Minimum 1-2 weeks typically. ## Common Pitfalls - Peeking at results before completion - Too many variants at once - Metric not sensitive enough to detect change - Sample size too small - Not accounting for novelty effects -

What's inside
Steps it walks through
  1. What You Do
  2. Test Structure
  3. 1. Hypothesis
  4. 2. Variants
  5. 3. Primary Metric
  6. 4. Secondary Metrics
  7. 5. Sample Size
  8. 6. Duration
  9. Common Pitfalls
  10. When Not to A/B Test
  11. Best Practices
More from designer-skills
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About this skill
What does the a-b-test-design skill do?

Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.

How do I install it?

Run `npx skills add Owl-Listener/designer-skills --skill a-b-test-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Owl-Listener/designer-skills, a repository with 1,964 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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