Agent Skills › AgriciDaniel/claude-ads › ads-test

ads-test

GitHub

用于设计、评估付费广告实验，涵盖假设制定、随机化单位、样本量计算、护栏设置及结果解读。支持A/B测试全流程，确保统计显著性与决策严谨性。

skills/ads-test/SKILL.md AgriciDaniel/claude-ads

触发场景

A/B测试设计实验假设验证样本量计算广告效果分析

安装

npx skills add AgriciDaniel/claude-ads --skill ads-test -g -y

更多选项

不安装直接使用

npx skills use AgriciDaniel/claude-ads@ads-test

指定 Agent (Claude Code)

npx skills add AgriciDaniel/claude-ads --skill ads-test -a claude-code -g -y

安装 repo 全部 skill

npx skills add AgriciDaniel/claude-ads --all -g -y

预览 repo 内 skill

npx skills add AgriciDaniel/claude-ads --list

SKILL.md

Frontmatter

{
    "name": "ads-test",
    "description": "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.