review-response

Classify reviewer comments and draft structured academic rebuttal responses.

Updated Oct 7, 2022
One-click install
npx skills add https://github.com/tamagusko/linux-cfg --skill review-response-tamagusko
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-response
Source: https://github.com/tamagusko/linux-cfg/tree/main/dotfiles/claude/skills/review-response
Command: npx skills add https://github.com/tamagusko/linux-cfg --skill review-response-tamagusko

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Responding to peer review comments is time-consuming and stressful, and a poorly written rebuttal can sink an otherwise strong paper. This Skill provides a systematic workflow that turns raw reviewer comments into a professional, evidence-based rebuttal document. ## Core Features & Use Cases - Comment Classification: Parse reviewer feedback into Major Issues, Minor Issues, Typos, and Misunderstandings, each mapped to a recommended response strategy. - Response Strategy Library: Apply Accept, Defend, Clarify, or Experiment strategies with proven patterns from successful ICLR spotlight paper rebuttals. - Rebuttal Templates & Tone Control: Generate structured rebuttal documents with opening, per-comment responses, and summary sections, while enforcing a professional and respectful tone. - Venue-Specific Guidance: Tailor responses for NeurIPS, ICML, ICLR, CVPR, and ACL conventions, including page limits and reproducibility expectations. - Use Case: You receive three reviewer reports for an ICLR submission. Paste the comments, and the Skill classifies each point, recommends a strategy per comment, and drafts a complete rebuttal with evidence-backed responses and a summary of changes. ## Quick Start Analyze these reviewer comments and draft a professional rebuttal response for each point.

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 rebuttal for reviewer comments?

Start by classifying each comment as a Major Issue, Minor Issue, Typo, or Misunderstanding, then apply a matching strategy: Accept, Defend, Clarify, or Experiment. Structure each response with a thank-you, your reply, and the specific changes made with section and page references.

How to respond to a reviewer who misunderstood my paper?

Use the Clarify strategy: politely point to the existing content with exact section, page, and line references, then improve the wording so the point is more prominent. Avoid phrases like 'the reviewer is wrong' and instead acknowledge the confusion and revise for clarity.

What is the difference between rebuttal strategies for NeurIPS, ICML, and ICLR?

NeurIPS rebuttals emphasize conceptual novelty and broader impact, ICML focuses on theoretical rigor and proofs, and ICLR prioritizes thorough experiments, honest limitations, and LLM usage disclosure. The Skill provides venue-specific templates and emphasis guidance for each.

Should I promise new experiments in a rebuttal?

Only promise experiments that are feasible within the rebuttal period. If results are ready, present them with concrete numbers and locations; if not feasible, explain the constraint and offer an alternative experiment or analysis that addresses the core concern.

What tone mistakes should I avoid in a rebuttal?

Avoid defensive or dismissive language such as 'the reviewer is wrong', 'obviously', or one-word replies like 'Fixed'. Every response should open with thanks, use 'we', cite specific locations, and describe concrete changes made to the manuscript.