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Review Paper

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brycewang-stanford
review-paper

Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections

Overview

Publisherbrycewang-stanford
RepositoryAuto-Empirical-Research-Skills
Skill namereview-paper
Stars
4.6K
Forks
543
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by brycewang-stanford on GitHub. Read the source before you install it.

Installation

Install the Review Paper AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/review-paper
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git /tmp/Auto-Empirical-Research-Skills
mkdir -p .claude/skills
cp -r /tmp/Auto-Empirical-Research-Skills/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/review-paper .claude/skills/review-paper
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Paper in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Review Paper on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Review Paper is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Manuscript Review

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 master_supporting_docs/.


Steps

  1. Locate and read the manuscript. Check:

    • Direct path from $ARGUMENTS
    • master_supporting_docs/supporting_papers/$ARGUMENTS
    • Glob for partial matches
  2. Read the full paper end-to-end. For long PDFs, read in chunks (5 pages at a time).

  3. Evaluate across 6 dimensions (see below).

  4. Generate 3-5 "referee objections" — the tough questions a top referee would ask.

  5. Produce the review report.

  6. Save to quality_reports/paper_review_[sanitized_name].md


Review Dimensions

1. Argument Structure

  • Is the research question clearly stated?
  • Does the introduction motivate the question effectively?
  • Is the logical flow sound (question → method → results → conclusion)?
  • Are the conclusions supported by the evidence?
  • Are limitations acknowledged?

2. Identification Strategy

  • Is the causal claim credible?
  • What are the key identifying assumptions? Are they stated explicitly?
  • Are there threats to identification (omitted variables, reverse causality, measurement error)?
  • Are robustness checks adequate?
  • Is the estimator appropriate for the research design?

3. Econometric Specification

  • Correct standard errors (clustered? robust? bootstrap?)?
  • Appropriate functional form?
  • Sample selection issues?
  • Multiple testing concerns?
  • Are point estimates economically meaningful (not just statistically significant)?

4. Literature Positioning

  • Are the key papers cited?
  • Is prior work characterized accurately?
  • Is the contribution clearly differentiated from existing work?
  • Any missing citations that a referee would flag?

5. Writing Quality

  • Clarity and concision
  • Academic tone
  • Consistent notation throughout
  • Abstract effectively summarizes the paper
  • Tables and figures are self-contained (clear labels, notes, sources)

6. Presentation

  • Are tables and figures well-designed?
  • Is notation consistent throughout?
  • Are there any typos, grammatical errors, or formatting issues?
  • Is the paper the right length for the contribution?

Output Format

markdown
# 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]** |

Principles

  • Be constructive. Every criticism should come with a suggestion.
  • Be specific. Reference exact sections, equations, tables.
  • Think like a referee at a top-5 journal. What would make them reject?
  • Distinguish fatal flaws from minor issues. Not everything is equally important.
  • Acknowledge what's done well. Good research deserves recognition.
  • Do NOT fabricate details. If you can't read a section clearly, say so.

Frequently asked questions

What does the Review Paper AI skill do?

Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections

Why use Review Paper on TypingMind?

Because you install it once and use it with any model. Review Paper is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Review Paper in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/review-paper. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review Paper?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Review Paper?

As many as you like. As long as a model supports skills, you can use Review Paper with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Review Paper AI skill free?

It is published on GitHub by brycewang-stanford. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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