Turn paper reviews into structured, professional responses. Classify comments, choose whether to revise, defend, clarify, or propose experiments, and draft a rebuttal that addresses every point with evidence and a respectful tone.
中文简介正在准备中。当前显示英语简介。
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.
安装前可以查看交给 AI 代理的指令内容。
A systematic review response workflow that helps researchers efficiently and professionally reply to reviewer comments.
Receive reviewer comments -> Parse and classify -> Develop strategy -> Write responses -> Tone check -> Final rebuttal
Use this skill when you need to:
Key lessons extracted from successful rebuttal cases:
When the rebuttal task involves:
read the active installed writing memory before drafting:
~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md on Claude Code installspaper-miner-writing-memory.md if availablereferences/response-strategies.mdreferences/rebuttal-templates.mdreferences/tone-guidelines.mdRead narrowly:
How this helps our writing,Reusable phrasing,Venue-specific signals if the rebuttal is venue-sensitive,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Do not quote the memory mechanically.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.
Every response row must include one of:
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.
For detailed guides, refer to:
references/review-classification.md - Review comment classification criteriareferences/response-strategies.md - Response strategy libraryreferences/rebuttal-templates.md - Rebuttal templates and examplesreferences/tone-guidelines.md - Tone and expression guidelinesrebuttal-writer - Dedicated agent for rebuttal writing and optimization/rebuttal <review_file> - Quick-start the rebuttal workflow还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Create and configure Claude Code agents using Markdown files with YAML configuration headers. Define when each agent should run, write its responsibilities and workflow, choose models and tools, and check configuration and triggering behavior.
中文简介正在准备中。当前显示英语简介。
Add datasets, models, and other components to machine learning projects using consistent registration and creation patterns. The skill guides file placement, configuration, and automatic module loading so new components fit the project's established architecture.
中文简介正在准备中。当前显示英语简介。
Investigate code errors through a structured process using reproduction steps, logs, and testable explanations. The workflow guides fault isolation, fixes, and follow-up checks, with common error patterns for Python, JavaScript/TypeScript, and Bash/Zsh.
中文简介正在准备中。当前显示英语简介。
Check academic references for existence, accurate publication details, and support for the claims being cited. This guide explains how to verify sources, obtain bibliography entries, and flag references that cannot be confirmed.
中文简介正在准备中。当前显示英语简介。
Review code changes and pull requests for correctness, security, performance, and test quality. The skill helps prioritize issues, write specific and constructive feedback, and create shared review checklists and standards for a development team.
中文简介正在准备中。当前显示英语简介。
Create reusable slash commands, prompts invoked by typing a slash, for Claude Code. The skill explains Markdown structure, arguments, file references, tool permissions, and plugin integration so recurring tasks can follow a defined workflow.
中文简介正在准备中。当前显示英语简介。