ab-test-planner

仓库创建 2026年1月29日最近提交 13 小时前SkillHot 收录 20 天前

▸ 精选理由

帮助产品/数据团队制定可复现的实验计划，减少统计错误。

这个 Skill 做什么

为产品实验设计完整的A/B测试方案并计算样本量与指标。

把想做的实验变成可执行的 A/B 测试计划：写出假设、分组定义、样本量/时长估算、守护指标和结果解读要点。适合做功能、UI、引导或定价试验前设计实验或评估可行性时用。特点是注重统计严谨，会给出样本量计算、停测准则和结果判读建议，不只是感觉好坏。

▸ 展开 SKILL.md 英文原文

Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.

研究检索A/B测试统计设计样本计算通用

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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/mohitagw15856/pm-claude-skills/main/skills/ab-test-planner/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/mohitagw15856/pm-claude-skills/main/skills/ab-test-planner/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# A/B Test Planner Skill

Design experiments that produce trustworthy results — not just directional signals. Every test output includes hypothesis, success metrics, sample size, duration, and a results interpretation guide.

## Required Inputs

Ask the user for these if not provided:
- **What is being tested** (feature, UI change, copy, pricing, onboarding step)
- **Hypothesis** (or ask to help formulate one)
- **Primary metric** (conversion rate, click-through, completion rate, etc.)
- **Baseline rate** and **minimum detectable effect** (MDE)
- **Daily eligible users** (to calculate duration)

## Experiment Design Checklist

Before running any test, confirm:
- [ ] Clear hypothesis with pre

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