ads-test
仓库创建 2026年2月11日最近提交 13 天前SkillHot 收录 4 小时前
▸ 精选理由
帮助构建可决策的试验设计,减少统计与平台层面的常见错误。
▸ 风险提示
需要访问投放与转化数据,错误设计可能导致误导性结论
这个 Skill 做什么
设计与评估付费媒体实验,包括假设、随机化、样本量与停机规则。
帮你把付费广告的实验从想法变成可执行的 A/B test:明确决策目标、因果假设、处理与对照、随机化单元、关键指标、样本量与停机规则。适合在想验证投放效果、需算统计显著性或决定是否扩大投放时使用。特色是会考虑平台限制、转化滞后、实验重叠和 guardrails,给出能直接落地的分析与决策规则。
▸ 展开 SKILL.md 英文原文
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.
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给你的 Agent 一句话(通用)
帮我安装这个 skill:https://raw.githubusercontent.com/AgriciDaniel/claude-ads/main/skills/ads-test/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/AgriciDaniel/claude-ads/main/skills/ads-test/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# Paid Media Experiment 1. State the decision, causal hypothesis, treatment, control, randomization unit, population, primary metric, guardrails, minimum effect, and stopping rule. 2. Check platform constraints, overlapping experiments, conversion lag, seasonality, interference, and measurement quality. 3. Calculate sample and duration from declared assumptions; disclose approximations. 4. Change one decision surface unless the design explicitly estimates interactions. 5. Pre-register exclusions, quality checks, analysis, and decision thresholds. 6. For readout, verify assignment integrity and data completeness before estimating effect and uncertainty. 7. Return setup or readout in
via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有