Ads Test
Design and evaluate paid-ad experiments with hypotheses, randomization units...
Install
npx skills add AgriciDaniel/claude-ads --skill ads-test -g -a claude-code -y- Repository
- AgriciDaniel/claude-ads10.7k
- Category
- Design
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 221 tokens
- Runs scripts
- No, instructions only
What it does
Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, hypothesis, statistical significance, sample size, test duration, or experiment readout.
Paid 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.
