pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill pedagogy-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/pedagogy-reviewContext preview
The summary Claude sees to decide when to auto-load this skill.
Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.
name: pedagogy-review description: Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing. argument-hint: "[QMD or TEX filename]" allowed-tools: ["Read", "Grep", "Glob", "Write", "Task"]
Perform a comprehensive pedagogical review.
1. **Identify the file** specified in `$ARGUMENTS`
2. **Launch the pedagogy-reviewer agent** with the full file path
3. **The agent produces a report** saved to: `quality_reports/[FILENAME_WITHOUT_EXT]_pedagogy_report.md`
4. **Present summary to user:**
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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