experiment

仓库创建 2026年1月7日最近提交 1 天前SkillHot 收录 20 天前

▸ 精选理由

把统计流程落地化，适合产品/数据团队做实验验证

▸ 风险提示

需要访问真实流量与实验平台数据及相应权限

这个 Skill 做什么

设计与分析 A/B 实验，含样本量计算、CUPED 与 SRM 检测

从假设书写、样本量计算到结果分析，帮你把 A/B 实验落地并检验结论是否可靠。适用于需要用数据验证改动效果、做统计把关或优化转化时。特色包含 CUPED（方差缩减）、SRM（样本随机化检测）和 switchback 等高级设计与检测方法，能降低噪声并提高结论稳健性。

▸ 展开 SKILL.md 英文原文

Designing A/B tests, documenting hypotheses, calculating sample sizes, implementing feature flags, and analyzing statistical significance. Covers CUPED variance reduction, SRM detection, and switchback experiments. Use when hypothesis validation is needed.

数据与抓取A/B 设计样本量计算方差降低通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/simota/agent-skills/main/experiment/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/simota/agent-skills/main/experiment/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

<!--
CAPABILITIES_SUMMARY:
- hypothesis_document_creation: Structure hypotheses with PICOT framework (Population, Intervention, Control, Outcome, Time)
- ab_test_design: Define variants, sample size, duration, randomization, and targeting
- sample_size_calculation: Power analysis with baseline rate, MDE, significance level, power
- feature_flag_implementation: LaunchDarkly, Unleash, Statsig (acq. by OpenAI 2025-09), GrowthBook, Eppo by Datadog / Datadog Experiments (Eppo acq. by Datadog 2025-05; GA 2026-04; observability-native with statistical canary testing), Spotify Confidence (SaaS GA 2025), custom flag patterns for gradual rollout
- statistical_significance_analysis: Z-test, chi-square,

via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有