mcpbeat

Ads Test

agricidaniel/ads-test

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.

311 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
7798
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/AgriciDaniel/claude-ads --skill ads-test

The instruction itself

1 sections, as written by the author
  • 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.

How to use it

Copy the folder

Take agricidaniel/ads-test from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.