send-experiment-designer
产生可执行的变体矩阵与统计计划，方便做 promote/kill 决策。
为邮件发送设计可检验的 A/B/多变量实验并给出样本量与显著性计划。
把邮件实验从想法变成可测的计划：帮你写出可证伪的假设、变量矩阵（每个单元只改一个因素）、样本量、MDE、检验功效和跑多长时间。合适在做 A/B、多变量或发送时间测试、以及想建立留出组时使用。特别之处是把统计学细节（样本和不确定性）和你自己的 ESP 数据结合，给出可执行的试验计划，但不会代替你做最终业务决策。
▸ 展开 SKILL.md 英文原文
Use when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this email result statistically and practically material?"; produces a falsifiable hypothesis, one-variable-per-cell matrix, sample-size/MDE/duration/power plan, and an effect/uncertainty read from own ESP data. Applies only a precommitted owner-approved action rule; the helper never chooses a business action. Not for EQS/vetoes or writing the email. 邮件AB测试设计/多变量测试/发送时间测试/留出组/显著性判定
帮我安装这个 skill：https://raw.githubusercontent.com/aaron-he-zhu/aaron-marketing-skills/main/email/deliver/send-experiment-designer/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/aaron-he-zhu/aaron-marketing-skills/main/email/deliver/send-experiment-designer/SKILL.md"# Send Experiment Designer Designs email experiments across four modes and reads them out: a falsifiable hypothesis, a variant matrix that isolates **one** variable per cell, a sample-size / minimum-detectable-effect / run-duration / power plan, and a documented effect/uncertainty read. It may apply an owner-approved precommitted action rule, but statistical output alone never chooses a business action. **Mode set (pick one):** | Mode | Isolated variable | Primary metric | |------|-------------------|----------------| | `a-b` | one change — subject *or* preheader *or* CTA *or* creative | open (subject) / click / CTOR (CTA/creative) | | `multivariate` | 2+ factors crossed (e.g. subject × C