causal-inference

brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/causal-inference

This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences, regression discontinuity, synthetic control, or matching estimators. Triggers on "causal effect", "identification strategy", "instrumental variable", "2SLS", "GMM", "difference-in-differences", "DiD", "staggered treatment", "regression discontinuity", "RDD", "synthetic control", "matching", "propensity score", "IPW", "AIPW", "doubly robust", "LATE", "ATT", "ATE", "parallel trends", "exclusion restriction", "first stage", "weak instruments", or "endogeneity".

把下面的话发给 Claude Code、Codex 或 Cursor。智能体会先检查内容，经你确认再安装。

请帮我安装这个 Agent Skill：https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/causal-inference

1. 先读取该目录下的 SKILL.md 和其他文件，检查是否有可疑内容（执行未知脚本、读取密钥、向外发送数据等），用中文告诉我它会做什么、需要哪些权限；
2. 等我确认后，再把整个目录安装到 ~/.claude/skills/causal-inference/（如果你不是 Claude Code，安装到你自己约定的 skills 目录）；
3. 安装后告诉我怎么触发它。

安装到个人 Skill 目录（对所有项目生效）。只想在当前项目用，改为 .claude/skills/。

git clone --depth 1 --filter=blob:none --sparse https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git /tmp/causal-inference-src
cd /tmp/causal-inference-src && git sparse-checkout set "skills/11-James-Traina-compound-science/skills/causal-inference"
mkdir -p ~/.claude/skills && cp -r "skills/11-James-Traina-compound-science/skills/causal-inference" ~/.claude/skills/causal-inference

Skill 可以让智能体执行脚本。安装第三方 Skill 前务必看一遍内容，详见「安全」一课。

SKILL.md

在 GitHub 查看

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