$npx -y skills add AgriciDaniel/claude-ads --skill ads-testDesign 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 s
| 1 | # Paid Media Experiment |
| 2 | |
| 3 | 1. State the decision, causal hypothesis, treatment, control, randomization unit, |
| 4 | population, primary metric, guardrails, minimum effect, and stopping rule. |
| 5 | 2. Check platform constraints, overlapping experiments, conversion lag, seasonality, |
| 6 | interference, and measurement quality. |
| 7 | 3. Calculate sample and duration from declared assumptions; disclose approximations. |
| 8 | 4. Change one decision surface unless the design explicitly estimates interactions. |
| 9 | 5. Pre-register exclusions, quality checks, analysis, and decision thresholds. |
| 10 | 6. For readout, verify assignment integrity and data completeness before estimating |
| 11 | effect and uncertainty. |
| 12 | 7. Return setup or readout in versioned JSON with a plain-language decision. |
| 13 | |
| 14 | Do not repeatedly peek and stop on a favorable result, call underpowered noise a |
| 15 | winner, or generalize beyond the tested population. |