ads-test

Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools,…

INSTALLATION
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-test
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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.

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