review-response
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.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-response --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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** - Wri
What does the review-response skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-response --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.