pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Adversarial Quarto vs Beamer QA. Critic finds issues, fixer applies fixes, loops until APPROVED (max 5 rounds).
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill qa-quarto --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/qa-quartoContext preview
The summary Claude sees to decide when to auto-load this skill.
Adversarial Quarto vs Beamer QA. Critic finds issues, fixer applies fixes, loops until APPROVED (max 5 rounds).
name: qa-quarto description: Adversarial Quarto vs Beamer QA. Critic finds issues, fixer applies fixes, loops until APPROVED (max 5 rounds). argument-hint: "[LectureN]" allowed-tools: ["Read", "Grep", "Glob", "Write", "Edit", "Bash", "Task"] context: fork
Compare Quarto HTML slides against their Beamer PDF benchmark using an iterative critic/fixer loop.
**Philosophy:** The Beamer PDF is the gold standard. The Quarto translation must be at least as good in every dimension.
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Phase 0: Pre-flight → Phase 1: Critic audit → Phase 2: Fixer → Phase 3: Re-audit → Loop until APPROVED (max 5 rounds)
| Gate | Condition | |------|-----------| | **Overflow** | NO content cut off | | **Plot Quality** | Interactive charts >= static plots | | **Content Parity** | No missing slides/equations/text | | **Visual Regression** | Quarto >= Beamer in all dimensions | | **Slide Centering** | Content centered, no jumping | | **Notation Fidelity** | All math verbatim from Beamer |
1. Locate Beamer (.tex/.pdf) and Quarto (.qmd/.html) files 2. Check freshness (re-render if QMD newer than HTML) 3. Verify TikZ SVGs if applicable
Launch the `quarto-critic` agent to compare Beamer vs Quarto comprehensively. Report saved to `quality_reports/[Lecture]_qa_critic_round1.md`.
If not APPROVED, launch `quarto-fixer` agent to apply fixes (Critical → Major → Minor), re-render, and verify.
Re-launch critic to verify fixes. Loop back to Phase 2 if needed.
Max 5 fix rounds. After that, escalate to user with remaining issues.
Save to `quality_reports/[Lecture]_qa_final.md` with hard gate status, iteration summary, and remaining issues.
📌 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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