Individual skill
ads-test
A/B test design and experiment planning for paid advertising. Structured hypothesis framework, statistical significance calculator, test duration estimator, sample size calculator, and platform-specific experiment setup guides (Meta Experiments, Google Experiments, LinkedIn A/B). Use when user says A/B test, split test, experiment design, test hypothesis, statistical significance, sample size, or test duration.
skills/ads-test/SKILL.md
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- Repository last updated
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- License
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- ads Repository topic
- advertising Repository topic
- claude-code Repository topic
- claude-code-skill Repository topic
- google-ads Repository topic
- linkedin-ads Repository topic
- marketing-automation Repository topic
- meta-ads Repository topic
- ppc Repository topic
- self-updating Repository topic
- design Derived category
- marketing Derived category
- testing Derived category
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<!-- Portions Copyright (c) 2026 Enrique Rocha (@soyenriquerocha) - see LICENSE for original authors · tododeia.com · id er-fd4fa55b -->
# A/B Test Design & Experiment Planning
> Concept adapted from `OpenClaudia/openclaudia-skills` (ab-test-setup).
## Process
1. Understand what the user wants to test (creative, audience, bidding, landing page)
2. Build structured hypothesis using the framework below
3. Calculate required sample size and estimated duration
4. Recommend platform-specific test setup
5. Define success criteria and measurement plan
## Hypothesis Framework