ads-test
This skill provides a structured framework for designing and planning A/B tests for paid advertising campaigns. It includes a hypothesis generator, statistical significance and sample size calculators, test duration estimators, and platform-specific setup guides for Meta, Google, LinkedIn, and TikTok.
Is ads-test safe to install?
Safe to install: our audit of ads-test's source files found 0 shell commands, 0 external URLs, no file writes (none risk). Every command and URL listed appears verbatim in the skill's source. The skill performs text-based calculations and provides planning templates. It does not execute code, access the internet, or interact with local files.
How we audit skills: our security review methodology.
Who is this skill for?
Digital marketers and media buyers planning paid advertising experiments.
What can you do with it?
- Designing A/B tests for ad creative, audience, bidding, or landing pages.
- Calculating required sample sizes for statistical significance.
- Estimating test duration based on daily traffic and conversion rates.
- Generating structured experiment plans for Meta, Google, LinkedIn, and TikTok platforms.
How good is this skill?
Quality score: 5/10. The skill is well-structured, provides clear formulas for statistical calculations, and offers actionable, platform-specific advice for common advertising channels.
What does the skill file contain?
# A/B Test Design & Experiment Planning <!-- Created: 2026-04-13 | v1.5 --> <!-- Source: OpenClaudia/openclaudia-skills (ab-test-setup concept) --> ## 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 Every test must start with a structured hypothesis: ``` IF we [change/action] THEN [metric] will [increase/decrease] by [...
Frequently asked questions
What platforms does this skill support?
The skill provides specific setup guides for Meta Experiments, Google Experiments, LinkedIn A/B testing, and TikTok Split Testing.
How does the skill determine test duration?
It calculates duration by dividing the required sample size by the daily traffic per variant, while recommending a minimum of 7 days to account for weekly patterns.
Can this skill run tests on my ad accounts?
No. The skill is a planning and design tool that provides frameworks and calculations. It does not connect to or manage external advertising platforms.
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