neurips-author-response
Use when drafting or triaging NeurIPS OpenReview author responses, rebuttals, and discussion-period replies under the current year's response mechanics and double-blind constraints.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill neurips-author-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.
# NeurIPS Author Response Use this skill after reviews are released. The goal is to clarify, correct misunderstandings, and move reviewers and ACs toward a technically accurate decision without implying a revised paper has replaced the submitted version. ## 2026 response mechanics to re-check The 2026 handbook describes a three-phase response/discussion process: initial author response, author-reviewer-AC discussion, then reviewer/AC discussion. It also states that authors respond through OpenReview rebuttal buttons, with a per-review 10,000-character limit, no file uploads, no identity-revealing content, and no links except an anonymized code link to the AC in an Official Comment when reviewers ask for code. Reopen the current handbook before using these limits. ## Response triage - Start from decision leverage, not reviewer score. Identify the few objections that ACs can use to justify rejection: correctness, missing baseline, unclear novelty, weak significance, anonymity, ethics, or reproducibility. - Separate misunderstandings from real gaps. Correct the former directly; acknowledge the latter and explain what existing evidence in the original submission supports. - Do not prom
- 2026 response mechanics to re-check
- Response triage
- Drafting pattern
- Pitfalls
- Output format
What does the neurips-author-response skill do?
Use when drafting or triaging NeurIPS OpenReview author responses, rebuttals, and discussion-period replies under the current year's response mechanics and double-blind constraints.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill neurips-author-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/Awesome-Journal-Skills, a repository with 984 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.