skills/30-zirui-song-claude-skills/referee-response/SKILL.md
Structure responses to referee reports for R&R submissions
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Help structure and draft responses to referee reports. Ensures consistent formatting and comprehensive responses.
RESPONSE TO REFEREE COMMENTS
Paper: [Title]
Authors: [Names]
Journal: [Journal Name]
Manuscript #: [Number]
Date: [Date]
We thank the editor and referees for their constructive comments.
We have carefully addressed all points raised. Below we provide
point-by-point responses. Referee comments are in italics, and
our responses follow in regular text. All page and line numbers
refer to the revised manuscript.
================================================================
RESPONSE TO EDITOR
================================================================
[Editor comments and responses]
================================================================
RESPONSE TO REFEREE 1
================================================================
[Point-by-point responses]
================================================================
RESPONSE TO REFEREE 2
================================================================
[Point-by-point responses]
For each referee comment:
----------------------------------------------------------------
Comment 1.X: [Brief label for reference]
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*[Paste exact referee comment in italics]*
RESPONSE:
[Your response here]
- What we did to address the comment
- Where changes appear in the manuscript (page X, lines Y-Z)
- If we added analysis, summarize the results
- If we respectfully disagree, explain why with evidence
CHANGES MADE:
- Page X: [Description of change]
- Table Y: [Description of new/modified table]
- Section Z: [Description of new text]
The referee raises an important point about [issue]. We have:
1. [Addressed concern directly]
2. Added robustness tests in Table X showing results hold when [alternative]
3. Discussed this limitation on page Y, lines Z
We appreciate this comment on identification. We address this in three ways:
1. Added [placebo test/IV/etc.] in Table X
2. Discussed the assumption more carefully in Section Y
3. Acknowledge remaining limitations on page Z
Thank you for this suggestion. We have added [analysis] in Table X / Figure Y.
The results show [brief summary]. This [strengthens/qualifies] our main findings.
We apologize for the lack of clarity. We have revised the text on page X
to clarify that [explanation]. The revised passage now reads:
"[Quote revised text]"
We appreciate this thoughtful comment. After careful consideration, we
respectfully maintain our original approach because:
1. [Reason 1 with evidence/citation]
2. [Reason 2]
However, we have added discussion of this alternative perspective on page X
and include [robustness test] in the appendix to address related concerns.
Include at the end of your response:
================================================================
SUMMARY OF MAJOR CHANGES
================================================================
1. Added Table X: [Description]
2. Added Figure Y: [Description]
3. Revised Section Z to [description]
4. Added robustness tests for [list]
5. Expanded discussion of [topic] on pages A-B
================================================================
SUPPLEMENTARY MATERIALS ADDED
================================================================
- Online Appendix Table A1: [Description]
- Online Appendix Figure A1: [Description]
- Replication package updated with [additions]
Do:
Don't:
Agreeing:
Partial agreement:
Respectful disagreement:
Acknowledging limitations:
Before submitting your response:
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
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Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".