review-response

Analyze review comments and generate structured professional rebuttal documents.

Updated Jun 30, 2026

Search Tags:#academic writing #review response #reviewer comments #rebuttal writing #paper acceptance

Ready to run

npx skills add https://github.com/SunS1eep1ng/codex-dotfiles --skill review-response-suns1eep1ng

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-response
Source: https://github.com/SunS1eep1ng/codex-dotfiles/tree/main/skills/review-response
Command: npx skills add https://github.com/SunS1eep1ng/codex-dotfiles --skill review-response-suns1eep1ng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires transformers, torch, pandas, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps researchers efficiently and professionally reply to reviewer comments, improving the acceptance rate of their papers.

Core Features & Use Cases

Review Analysis: Parse and classify reviewer comments (Major/Minor/Typo/Misunderstanding).
Response Strategy: Develop response strategies for different comment types (Accept/Defend/Clarify/Experiment).
Rebuttal Writing: Write structured, professional rebuttal documents.
Tone Management: Optimize tone to maintain professionalism, respect, and evidence-based arguments.
Use Case: A researcher receives a set of review comments for their paper. They use this Skill to analyze the comments, develop a response strategy, and generate a professional rebuttal document.

Quick Start

Use the review-response skill to analyze the review comments for your paper and generate a rebuttal document.

Frequently Asked Questions about review-response

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write a professional rebuttal document for peer reviewer comments?▼

To write a professional rebuttal document, you can use automated tools to parse reviewer comments, classify them by type, and generate structured, evidence-based replies that maintain a respectful academic tone.

What is the best way to categorize reviewer comments for an academic paper rebuttal?▼

The best way to categorize reviewer comments is to classify them into Major, Minor, Typo, or Misunderstanding types, allowing you to apply targeted response strategies like Accept, Defend, Clarify, or Experiment for each point.

How do I structure a review response to improve my paper acceptance rate?▼

You structure a review response by analyzing the reviewer comments, developing specific response strategies for each category, and writing a structured rebuttal document with an optimized, professional tone to improve your paper acceptance rate.

Do I need natural language processing tools for automated rebuttal writing?▼

Yes, automated rebuttal writing requires natural language processing and text analysis capabilities to accurately interpret reviewer comments and generate professional responses.

Can I use Python libraries like transformers and torch for academic review analysis?▼

Yes, you can use Python libraries like transformers and torch for academic review analysis, as they provide the natural language processing and text analysis capabilities needed to parse comments and generate structured responses.