About ads-test
ads-test is a marketing skill for designing and reading paid-media experiments. It emphasizes declared assumptions, pre-registration, and cautious decisions grounded in validated data.
Key features
- 01Define experiment design and decision criteria
- 02Check platform and measurement constraints
- 03Calculate sample size and duration
- 04Pre-register analysis and thresholds
- 05Validate data before estimating effects
- 06Return versioned JSON with a decision
Use cases
- 01Plan a paid-media experiment
- 02Review experiment setup for confounders
- 03Assess results without repeated peeking
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/ads-testin Claude Code to confirm it loaded.
Details
From the project READMEPaid Media Experiment
- State the decision, causal hypothesis, treatment, control, randomization unit, population, primary metric, guardrails, minimum effect, and stopping rule.
- Check platform constraints, overlapping experiments, conversion lag, seasonality, interference, and measurement quality.
- Calculate sample and duration from declared assumptions; disclose approximations.
- Change one decision surface unless the design explicitly estimates interactions.
- Pre-register exclusions, quality checks, analysis, and decision thresholds.
- For readout, verify assignment integrity and data completeness before estimating effect and uncertainty.
- Return setup or readout in versioned JSON with a plain-language decision.
Do not repeatedly peek and stop on a favorable result, call underpowered noise a winner, or generalize beyond the tested population.
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