algorithm-design
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments,…
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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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.
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]
Generate structured, evidence-based rebuttals to peer 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
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
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 ...
Add a brief summary at the top listing all major changes made to the paper:
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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