Individual skill
experiment-readout
假设 + 指标 + 结果 + 解释 + 决策, 把 A/B 或产品实验转成行动建议
next/src/lib/templates/skills/experiment-readout/SKILL.md
Source commit 975fb3bcb98f1777781fb4c738902d36e32c8c46
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 9,479
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-design Repository topic
- byok Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- coding-agents Repository topic
- generative-ai Repository topic
- html Repository topic
- experiment Declared skill tag
- ab-test Declared skill tag
- growth Declared skill tag
- product Declared skill tag
- data Declared skill tag
- 实验 Declared skill tag
- 复盘 Declared skill tag
- marketing Derived category
- data Derived category
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 3,066 bytesassets/growth-console.htmlasset · 3,804 bytesassets/lab-notebook.htmlasset · 3,510 bytesassets/product-readout.htmlasset · 6,386 bytesexample.htmlasset · 6,386 bytesexample.mddoc · 1,400 bytes
Read excerpt
【模板: 实验复盘 / Experiment Readout】
【意图】这不是普通数据报告、不是 dashboard。目标是回答: "这个实验说明了什么, 我们下一步应该上线、停止、继续跑, 还是重新设计?"
【适合输入】
- A/B test、增长实验、定价实验、onboarding 改版、功能灰度、邮件实验
- 可以是 markdown、CSV、表格粘贴或混合记录
【必须输出的结构】
1. Header: 实验名称、owner、日期、实验状态、decision。
2. Hypothesis: 原始假设, 必须改写成可验证句式。
3. Setup: audience、variant、duration、sample size、primary metric、guardrail metrics。
4. Result snapshot: primary metric lift、absolute delta、sample、confidence / caveat。
5. Metric table: Control vs Variant, primary + secondary + guardrail。
6. Interpretation: 解释结果为什么发生, 区分 signal、noise、unknown。