pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections. Make sure to use this skill whenever the user wants substantive academic feedback on a paper — not just surface edits. Triggers
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-paper --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/review-paperContext preview
The summary Claude sees to decide when to auto-load this skill.
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections. Make sure to use this skill whenever the user wants substantive academic feedback on a paper — not just surface edits. Triggers
name: review-paper description: >- Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections. Make sure to use this skill whenever the user wants substantive academic feedback on a paper — not just surface edits. Triggers include: "review my paper", "give me feedback on this draft", "what would a referee say", "anticipate referee objections", "act as a referee", "check my identification strategy", "is my argument convincing", "review this manuscript", "critique my paper", "will this pass review", or any request for deep critique of academic writing beyond typos and grammar. argument-hint: "[paper filename in manuscripts/ or path to .tex/.pdf]" allowed-tools: ["Read", "Grep", "Glob", "Write", "Task"]
Produce a thorough, constructive review of an academic manuscript — the kind of report a top-journal referee would write.
**Input:** `$ARGUMENTS` — path to a paper (.tex, .pdf, or .qmd), or a filename in `manuscripts/` or `references/papers/`.
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1. **Locate and read the manuscript.** Check:
2. **Read the full paper** end-to-end. For long PDFs, read in chunks (5 pages at a time).
3. **Dispatch `domain-reviewer` agent** via Task for deep substance review (see below).
4. **Evaluate writing quality and presentation** (dimensions 5-6) — the skill handles these directly since the agent explicitly does not cover presentation.
5. **After the agent completes**, merge its findings with your writing/presentation evaluation. Generate 3-5 "referee objections" synthesized from both.
6. **Produce the unified review report.**
7. **Save to** `quality_reports/paper_review_[sanitized_name].md`
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Dispatch the `domain-reviewer` agent via Task for the deep substance check. The agent applies 5 lenses that go deeper than broad dimensional evaluation — actual equation verification, derivation step checking, code-theory alignment, and backward logic tracing.
Task prompt: "You are the domain-reviewer agent. Review the manuscript at [path]. Research question: [from spec if available]. Apply all 5 review lenses: 1. Assumption stress test 2. Derivation verification 3. Citation fidelity 4. Code-theory alignment 5. Backward logic check Also check cross-document consistency. Follow the domain-reviewer agent instructions and return your full substance review report."
After the agent completes, collect its findings. These feed into the "Major Concerns" and "Referee Objections" sections of the final report.
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The skill evaluates dimensions 5-6 directly (the agent does not cover these), then merges everything into the unified report format below.
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# Manuscript Review: [Paper Title] **Date:** [YYYY-MM-DD] **Reviewer:** review-paper skill **File:** [path to manuscript] ## Summary Assessment **Overall recommendation:** [Strong Accept / Accept / Revise & Resubmit / Reject] [2-3 paragraph summary: main contribution, strengths, and key concerns] ## Strengths 1. [Strength 1] 2. [Strength 2] 3. [Strength 3] ## Major Concerns ### MC1: [Title] - **Dimension:** [Identification / Econometrics / Argument / Literature / Writing / Presentation] - **Issue:** [Specific description] - **Suggestion:** [How to address it] - **Location:** [Section/page/table if applicable] [Repeat for each major concern] ## Minor Concerns ### mc1: [Title] - **Issue:** [Description] - **Suggestion:** [Fix] [Repeat] ## Referee Objections These are the tough questions a top referee would likely raise: ### RO1: [Question] **Why it matters:** [Why this could be fatal] **How to address it:** [Suggested response or additional analysis] [Repeat for 3-5 objections] ## Specific Comments [Line-by-line or section-by-section comments, if any] ## Summary Statistics | Dimension | Rating (1-5) | |-----------|-------------| | Argument Structure | [N] | | Identification | [N] | | Econometrics | [N] | | Literature | [N] | | Writing | [N] | | Presentation | [N] | | **Overall** | **[N]** |
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📌 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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