pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Create new Beamer lecture from papers and materials. Guided workflow with notation consistency.
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill create-lecture --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/create-lectureContext preview
The summary Claude sees to decide when to auto-load this skill.
Create new Beamer lecture from papers and materials. Guided workflow with notation consistency.
name: create-lecture description: Create new Beamer lecture from papers and materials. Guided workflow with notation consistency. argument-hint: "[Topic name]" allowed-tools: ["Read", "Grep", "Glob", "Write", "Edit", "Bash", "Task"] context: fork
Create a beautiful, pedagogically excellent Beamer lecture deck.
**This is a collaborative, iterative process. The instructor drives the vision; Claude is a thinking partner.**
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1. **Read the knowledge base FIRST** — notation registry, narrative arc, applications database 2. Every new symbol MUST be checked against the notation registry 3. Motivation before formalism — no exceptions 4. Worked example within 2 slides of every definition 5. Max 2 colored boxes per slide 6. No `\pause` or overlay commands (check project rules) 7. Transition slides at major conceptual pivots 8. Thread at least 1 running empirical application throughout 9. All citations verified against the bibliography 10. **Work in batches of 5-10 slides** — share for feedback, don't bulk-dump
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[ ] Lecture compiles without errors [ ] No overfull hbox > 10pt [ ] All citations resolve [ ] Every definition has motivation + worked example [ ] Max 2 colored boxes per slide [ ] 2-3 Socratic questions embedded [ ] Transition slides between sections [ ] At least 1 running application threaded throughout [ ] New notation added to knowledge base [ ] Session log updated [ ] Devil's Advocate run
📌 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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