/rebuttal-writing
Write point-by-point rebuttals to reviewer comments. Extract concerns from reviews, generate evidence-based responses, and format as a structured rebuttal document. Use after receiving peer review feedback.
$ npx -y skills add lingzhi227/agent-research-skills --skill rebuttal-writing --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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- Slash command
/rebuttal-writing
Context preview
The summary Claude sees to decide when to auto-load this skill.
Write point-by-point rebuttals to reviewer comments. Extract concerns from reviews, generate evidence-based responses, and format as a structured rebuttal document. Use after receiving peer review feedback.
SKILL.md
rebuttal-writing.SKILL.mdname: rebuttal-writing
description: Write point-by-point rebuttals to reviewer comments. Extract concerns from reviews, generate evidence-based responses, and format as a structured rebuttal document. Use after receiving peer review feedback.
argument-hint: [reviews-file]
Rebuttal Writing
Generate structured, evidence-based rebuttals to peer review comments.
Input
- `$0` — Reviewer comments (text file, or pasted directly)
- Optional: current paper draft for reference
References
- Rebuttal prompts and format templates: `~/.claude/skills/rebuttal-writing/references/rebuttal-prompts.md`
Workflow
Step 1: Parse Review Comments
For each reviewer: 1. Extract individual concerns/questions/weaknesses 2. Categorize each: major concern, minor concern, question, suggestion 3. Identify the core issue behind each concern
Step 2: Generate Responses
For each concern: 1. **Acknowledge** the reviewer's point 2. **Respond with evidence** — cite specific sections, equations, experiments, or results from the paper 3. **Describe what was done** (not what will be done) — "We have added...", "Our experiments show..." 4. If additional experiments are needed, describe the new results concretely
Step 3: Format Rebuttal
Use the standard rebuttal format:
# Response to Reviewers
We thank all reviewers for their constructive feedback. We address each concern below.
## Reviewer #1
**Concern #1:** [extracted concern]
**Author Response:** [detailed response with evidence]
**Concern #2:** [extracted concern]
**Author Response:** [detailed response with evidence]
## Reviewer #2
...
Step 4: Summary of Changes
Add a brief summary at the top listing all major changes made to the paper:
- New experiments added
- Sections revised
- Clarifications made
Rules
- **Reply with what was done, not what will be done** — "We have conducted additional experiments" not "We will conduct..."
- **Be specific** — Reference exact sections, table numbers, equation numbers
- **Be respectful** — Thank reviewers, acknowledge valid concerns
- **Address every concern** — Do not skip any reviewer point
- **Provide evidence** — Every response should include concrete data, citations, or reasoning
- **Keep responses concise** — Detailed enough to address the concern, but not padded
- **Highlight changes** — When referring to modified text, use blue text or clearly mark revisions
Related Skills
- Upstream: [self-review](../self-review/), [paper-revision](../paper-revision/)
- Downstream: [paper-compilation](../paper-compilation/)
- See also: [data-analysis](../data-analysis/)
Read more
name: rebuttal-writing description: Write point-by-point rebuttals to reviewer comments. Extract concerns from reviews, generate evidence-based responses, and format as a structured rebuttal document. Use after receiving peer review feedback. argument-hint: [reviews-file]
Rebuttal Writing
Generate structured, evidence-based rebuttals to peer review comments.
Input
- `$0` — Reviewer comments (text file, or pasted directly)
- Optional: current paper draft for reference
References
- Rebuttal prompts and format templates: `~/.claude/skills/rebuttal-writing/references/rebuttal-prompts.md`
Workflow
Step 1: Parse Review Comments
For each reviewer: 1. Extract individual concerns/questions/weaknesses 2. Categorize each: major concern, minor concern, question, suggestion 3. Identify the core issue behind each concern
Step 2: Generate Responses
For each concern: 1. **Acknowledge** the reviewer's point 2. **Respond with evidence** — cite specific sections, equations, experiments, or results from the paper 3. **Describe what was done** (not what will be done) — "We have added...", "Our experiments show..." 4. If additional experiments are needed, describe the new results concretely
Step 3: Format Rebuttal
Use the standard rebuttal format:
# Response to Reviewers We thank all reviewers for their constructive feedback. We address each concern below. ## Reviewer #1 **Concern #1:** [extracted concern] **Author Response:** [detailed response with evidence] **Concern #2:** [extracted concern] **Author Response:** [detailed response with evidence] ## Reviewer #2 ...
Step 4: Summary of Changes
Add a brief summary at the top listing all major changes made to the paper:
- New experiments added
- Sections revised
- Clarifications made
Rules
- **Reply with what was done, not what will be done** — "We have conducted additional experiments" not "We will conduct..."
- **Be specific** — Reference exact sections, table numbers, equation numbers
- **Be respectful** — Thank reviewers, acknowledge valid concerns
- **Address every concern** — Do not skip any reviewer point
- **Provide evidence** — Every response should include concrete data, citations, or reasoning
- **Keep responses concise** — Detailed enough to address the concern, but not padded
- **Highlight changes** — When referring to modified text, use blue text or clearly mark revisions
Related Skills
- Upstream: [self-review](../self-review/), [paper-revision](../paper-revision/)
- Downstream: [paper-compilation](../paper-compilation/)
- See also: [data-analysis](../data-analysis/)
31 skills for Claude Code covering the full academic research paper lifecycle — from literature search to slide generation — plus GitHub repository analysis for research topics. Extracted from 17 GitHub repos studying LLM-agent-driven research automation.
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Open skill

