Review Response

Galaxy-Dawn/claude-scholar/skills/review-response

作者 Galaxy-Dawn903787345d6aec134086afa2b97715a78fbde519无许可证5.7K 个星标收录于 2026年10月9日更新于 2026年10月9日仓库2周前更新

Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.

AI 生成的概览

引导研究者分析审稿意见并撰写结构化、专业的反驳回复文档。

功能
该技能提供一套系统化的学术同行评审回复流程:解析并分类审稿意见,针对不同意见类型给出应对策略,撰写结构化的反驳文档,并检查语气是否专业得体。它还要求每条回复都附证据锚点,注明论文位置、图表或分析产物、引用或计划中的实验。最终产出反驳文档与策略建议,并参考随附的参考指南。
适用场景
当用户要求撰写反驳信、回复审稿人、起草审稿回复或分析审稿意见时使用,通常是在论文投稿收到同行评审反馈之后。
运行要求
无需脚本,仅包含指令与参考文档。若存在来自另一技能路径的已安装写作记忆文件,则会可选读取;否则使用本地参考文档继续。

Review Response

A systematic review response workflow that helps researchers efficiently and professionally reply to reviewer comments.

Core Features

  1. Review Analysis - Parse and classify reviewer comments (Major/Minor/Typo/Misunderstanding)
  2. Response Strategy - Develop response strategies for different comment types (Accept/Defend/Clarify/Experiment)
  3. Rebuttal Writing - Write structured, professional rebuttal documents
  4. Tone Management - Optimize tone to maintain professionalism, respect, and evidence-based arguments

Workflow

Receive reviewer comments -> Parse and classify -> Develop strategy -> Write responses -> Tone check -> Final rebuttal

When to Use

Use this skill when you need to:

  • "Help me write a rebuttal"
  • "How to respond to reviewer comments"
  • "Analyze these review comments"
  • "Develop a review response strategy"

Usage Steps

  1. Provide reviewer comments - Share the reviewer comments text or file with Claude
  2. Analysis and classification - Claude automatically parses and classifies the comments
  3. Strategy recommendations - Receive response strategy suggestions for each comment
  4. Write rebuttal - Generate a structured rebuttal document based on the strategy
  5. Optimize tone - Review and optimize the professionalism and politeness of responses

Core Principles

  • Professionalism - Maintain an academically professional tone and expression
  • Respectfulness - Respect the reviewers' opinions and time
  • Evidence-based - Support every response with sufficient reasoning and evidence
  • Completeness - Ensure all reviewer comments receive a response

Success Factors (Based on ICLR Spotlight Paper Analysis)

Key lessons extracted from successful rebuttal cases:

1. Acknowledge Strengths, Respond Positively to Criticism

  • Reviewers will first acknowledge the paper's strengths (novelty, impact, practical applicability)
  • Even spotlight papers receive constructive criticism
  • Strategy: Thank reviewers for acknowledged strengths first, then address criticism specifically

2. Provide Clarity and Intuitive Understanding

  • Even high-quality papers may have clarity issues
  • Need to provide intuition and detailed explanations for readers with different backgrounds
  • Strategy: Expand key sections, move technical details to appendix, add step-by-step walkthroughs

3. Thorough Justification of Experimental Setup

  • Need to justify experimental setup choices
  • Consider and discuss alternative metrics
  • Provide comprehensive experiments to support claims
  • Strategy: Add ablation studies, explain why specific experimental setups were chosen

4. Emphasis on Ethical Considerations

  • For research involving privacy, security, and other sensitive topics, ethical considerations are crucial
  • Reviewers pay special attention to ethical implications
  • Strategy: Proactively discuss ethical considerations, even if reviewers don't explicitly request it

5. Highlight Practical Application Value

  • Reviewers value practical applicability and scalability of methods
  • "Easily applicable" and "scalable" are important strengths
  • Strategy: Emphasize practical benefits and scalability in the rebuttal

Integration with active installed writing memory

When the rebuttal task involves:

  • tone calibration,
  • rebuttal phrasing,
  • clarification language,
  • structuring multi-point responses,
  • or learning from strong prior paper/review writing,

read the active installed writing memory before drafting:

  • ~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md on Claude Code installs
  • the equivalent installed skill-home path on Codex/OpenCode branches
  • otherwise skip this optional memory and continue with the local review-response references

Default read order for rebuttal work

  1. reviewer comments and paper context
  2. optional paper-miner-writing-memory.md if available
  3. references/response-strategies.md
  4. references/rebuttal-templates.md
  5. references/tone-guidelines.md

Read narrowly:

  • start with How this helps our writing,
  • then inspect Reusable phrasing,
  • then inspect Venue-specific signals if the rebuttal is venue-sensitive,
  • use Writing patterns mined only when the response needs stronger rhetorical structure.

Do not quote the memory mechanically. Use it to improve structure, clarity, restraint, and professionalism.

Evidence anchor rule

Every response row must include one of:

  • paper location,
  • result table / figure / analysis artifact,
  • citation / Evidence Record ID,
  • planned experiment with status,
  • unresolved if no evidence exists yet.

Do not claim "we added experiments" or "the results show" without naming the artifact. If an objection has multiple atomic points, split it and cover each point separately.

Reference Documents

For detailed guides, refer to:

  • references/review-classification.md - Review comment classification criteria
  • references/response-strategies.md - Response strategy library
  • references/rebuttal-templates.md - Rebuttal templates and examples
  • references/tone-guidelines.md - Tone and expression guidelines

Related Tools

  • Agent: rebuttal-writer - Dedicated agent for rebuttal writing and optimization
  • Command: /rebuttal <review_file> - Quick-start the rebuttal workflow

来源与署名

来源:Galaxy-Dawn/claude-scholar位于skills/review-response提交9037873

许可证: 无许可证

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