Skip to content
Content
Skill

/aaai-author-response

Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round

From plugin
awesome-journal-skills
965200 skills
Install
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-author-response --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • 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 →
  • You can call itInvoke it directly when you want it.
  • Slash command/aaai-author-response

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round

SKILL.md

aaai-author-response.SKILL.md
name: aaai-author-response
description: Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.

AAAI Author Response

Use this after AAAI reviews are released. AAAI rebuttal space is scarce: the AAAI-26 FAQ allowed a single 2500-character response, disallowed URLs, and discouraged new results. Reopen the current rebuttal FAQ before drafting.

Triage

  • Respond to decision-critical factual errors first.
  • Address human reviews and AI-generated review points when they affect the SPC/AC decision.
  • Do not spend space on tone, score fairness, or reviewer motivation.
  • Do not include URLs if current rules forbid them.
  • Do not introduce new experiments or results. Explain existing evidence, clarify omissions, or

state why requested experiments are not needed.

  • If supplementary files were missing or corrupted, acknowledge the limitation; AAAI-26 did not

permit updates at rebuttal time.

What moves an AAAI score

Author feedback at AAAI is read by human reviewers and weighed in SPC/AC discussion, not by the non-decisional AI review. With one short response and no second round, spend every character on the concern most likely to flip a borderline decision. Triage each reviewer point into a lane:

  • Factual error that, if uncorrected, sinks the paper: answer first, cite the submitted anchor.
  • Misread of an existing result: clarify and point to the table, theorem, or appendix line.
  • Request for a new experiment: explain why submitted evidence covers it, or scope the claim.
  • Taste or framing complaint: usually skip; a defensive paragraph rarely moves the score.

Reviewer-pushback patterns and the AAAI fix

  • "No comparison to method X." Fix: name the submitted table row that includes X, or argue X is out

of scope; do not promise a fresh run that rules forbid.

  • "Results may not hold beyond one benchmark." Fix: cite the seed or split variation in the

supplement; if absent, narrow the claim instead.

  • "The AI-generated review flags a missing baseline." Fix: correct it calmly with a submitted

pointer; the AI review is advisory, so a one-line factual rebuttal suffices.

Worked vignette

A multi-agent-coordination paper gets two borderline scores. Reviewer 1 wrongly says the protocol ignores communication cost; Reviewer 2 asks for a human-baseline study. Triage: R1 is decision- critical, so sentence one corrects it and cites Section 4's cost ledger; R2's request is out of scope, so one sentence notes the simulator already bounds it and limits the claim to simulated agents. Tone and the AI review's nit are cut to stay under budget.

Compression pattern

1. One sentence: central correction. 2. One sentence: strongest evidence in the submitted paper/checklist/supplement. 3. One sentence: answer the most damaging reviewer concern. 4. One sentence: clarify scope or limitation. 5. One sentence: optional camera-ready clarification if accepted.

Output format

[Response budget] <characters used / limit>
[Priority issue] <reviewer or AI-review concern>
[Draft rebuttal] <AAAI-ready text, no URLs>
[Submitted evidence anchor] <section/table/figure/checklist/supplement item>
[Cut list] <what to delete if over limit>
Read more
Ships withawesome-journal-skills

Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证

Get the whole plugin
Stats
965
Stars
121
Forks
Active
Maintenance
Stata
Language
MIT
License
14h ago
Last commit
2mo ago
Created

Repo: brycewang-stanford/Awesome-Journal-Skills

Other skills on awesome-journal-skills.