A skill your agent uses when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics…

MITAuto-check passed

Install Acl Author Response

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-author-response -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-author-response --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ACL-Skills/skills/acl-author-response .claude/skills/acl-author-response && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
acl-author-response
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
786 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics…

  • Works in 5 steps: Factual errors in reviews (wrong… → Misunderstandings a two-sentence… → Requests satisfiable from submitted… → …
  • Drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview
  • SKILL.md covers What the response can actually…, Triage order, NLP-reviewer objection patterns and Rules of the response box, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Acl Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics, score-change strategy, flagging review issues to the area chair, anonymity rules, and deciding between responding now versus revising for a later ARR cycle.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview
  • Covering the response window before meta-review
  • Reviewer discussion dynamics
  • Score-change strategy

Example prompts

  • “/acl-author-response”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Factual errors in reviews (wrong dataset, misread table, missed section).
  2. Misunderstandings a two-sentence clarification can dissolve.
  3. Requests satisfiable from submitted material — appendix tables, checklist
  4. Requests needing new experiments: promise only what is genuinely small, or
  5. Taste disagreements: answer once, briefly, without heat.

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Acl Author Response loads about 1.6k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 786 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 786 words, ~1,643 tokens.

Download SKILL.mdSave it as .claude/skills/acl-author-response/SKILL.md (or your agent's skills folder).
name
acl-author-response
description
Use when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics, score-change strategy, flagging review issues to the area chair, anonymity rules, and deciding between responding now versus revising for a later ARR cycle.

ACL Author Response

Use this when ARR reviews land. The response is written inside the review cycle, before the meta-review is finalized — its primary reader is the area chair who will summarize your paper for whatever conference you later commit to. Reopen aclrollingreview.org/reviewing for the current cycle's exact window and rules.

What the response can actually move

  • ARR assigns at least three reviewers; after the author response there is a reviewer-discussion phase in which reviewers are expected to update reviews. A response that gives a reviewer a concrete reason to revise is worth more than one that argues.
  • The meta-review travels with the paper to commitment. Senior area chairs at the venue read the meta-review first, so your real goal is to shape what the AC writes, not to win a debate transcript.
  • Scores are not the only currency: a meta-review that says "the main weakness was resolved in discussion" can rescue a committed paper that scores alone would sink.

Triage order

  1. Factual errors in reviews (wrong dataset, misread table, missed section).
  2. Misunderstandings a two-sentence clarification can dissolve.
  3. Requests satisfiable from submitted material — appendix tables, checklist answers, the supplement archive.
  4. Requests needing new experiments: promise only what is genuinely small, or explicitly defer to a revision cycle (ARR is built for resubmission).
  5. Taste disagreements: answer once, briefly, without heat.

NLP-reviewer objection patterns

ObjectionUnderlying worryResponse that works at ACL
"Only evaluated on English"Overclaimed generalityScope the claim explicitly; cite the multilingual appendix run if one exists
"Gains may be contamination"Test data in pretrainingPoint to the decontamination check or concede and describe the planned audit
"No error analysis"Numbers without understandingQuote the analysis section or summarize 2-3 systematic error classes from logged outputs
"Human eval lacks agreement stats"Unreliable judgmentsReport the IAA already computed; never invent a number in the response box
"Missing recent baseline X"Stale comparison setDistinguish X technically, or accept it as revision work with a stated plan

Rules of the response box

  • Stay anonymous: no names, lab hints, grant numbers, or identifying links.
  • Never claim results that are not in the submitted PDF, supplement, or checklist; ARR reviewers can and do check.
  • Keep each reviewer reply skimmable — lead with the single sentence you want quoted in the meta-review.
  • If a review is deficient (template text, wrong paper, LLM-generated, hostile), use the current cycle's review-issue flag to the AC rather than fighting it in the reply thread.

Respond now or resubmit later

  • Respond in-cycle when the objections are misreadings or scoping problems — these are exactly what discussion can fix before the meta-review.
  • Prefer withdrawing the commitment plan and revising for a later cycle when reviews identify real missing experiments; a resubmission must carry a point-by-point revision note anyway, so bank the work.
  • Remember the asymmetry: reviews and meta-review persist and follow a resubmission. An abrasive response is permanent record.
Show full SKILL.md (303 more words)Show less

Skeleton reply

text
We thank Reviewer X. Main point first: [one-sentence resolution].

1. [Factual correction] The model is trained only on the training split
   (Section 3.2, line refs); Table 2 reports held-out results.
2. [Clarification] The claim is scoped to the five languages tested
   (Section 5); we will tighten the abstract wording.
3. [Evidence pointer] Seeds, prompts, and compute are in Appendix C and
   checklist items C1-C3.
4. [Deferred work] A comparison to X requires retraining; we commit to it
   in a revision and note why it should not change the ranking.

Tone calibration for the ARR record

  • Write for three audiences at once: the reviewer being answered, the AC composing the meta-review, and the venue chairs who will skim the thread months later at commitment.
  • Concede fast and specifically; a clean concession plus a scoped fix reads as competence, while minimizing a real weakness reads as evasion.
  • Quantify wherever a reviewer hedged: replace "we believe the effect is robust" with the interval, the seed count, or the appendix table number.
  • Do not thank effusively or argue emotionally; both waste the reader's attention budget in a thread they are legally required to skim.
  • If two reviewers contradict each other, say so neutrally and let the AC arbitrate — pointing out the contradiction is legitimate and effective.

A workable 5-day response window

  1. Day 1: read all reviews twice; extract every distinct objection into a sheet with owner and evidence anchor; no drafting yet.
  2. Day 2: run any genuinely small verification (a re-scoring, a missing statistic already computable from logged outputs).
  3. Day 3: draft all replies; lead each with its one-sentence resolution.
  4. Day 4: internal cold read by a co-author who did not draft; cut 30%.
  5. Day 5: post early, not at the buzzer — reviewers who will engage in discussion tend to do it once, soon after your reply appears.

If the real answer is "withdraw and revise"

  • Skipping the response entirely is a signal too — reviewers note silence in discussion, and the package records it. A short, gracious reply that acknowledges the substantive points costs little and keeps the record clean for the resubmission's mandatory revision note.
  • Harvest the reviews immediately into the revision plan while the team still has context; the next cycle's point-by-point response is easiest to write as a running document, not a deadline reconstruction.

Output format

text
[Response stance] clarify-in-cycle / concede-and-revise / mixed
[Meta-review target] <sentence you want the AC to write>
[Per-reviewer plan] <R1/R2/R3: main point + evidence anchor>
[Review-issue flags] <deficient-review reports to AC, if any>
[Deferred to resubmission] <experiments promised for a later cycle>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in ACL-Skills/skills/acl-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Acl Author Response next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Acl Author Response this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
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Hermes Agent Skill AuthoringNousResearch/hermes-agent252k—~3.6kAutomated safety check: PassMIT
Eacl Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1kAutomated safety check: PassMIT
Emnlp Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
Icsme Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT

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Questions about Acl Author Response

What does Acl Author Response do?

A skill your agent uses when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics…. Acl Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics, score-change strategy, flagging review issues to the area chair, anonymity rules, and deciding between responding now versus revising for a later ARR cycle.

When should I use Acl Author Response?

Acl Author Response fits situations like: drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview; covering the response window before meta-review; reviewer discussion dynamics; score-change strategy.

How do I install Acl Author Response in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-author-response -a claude-code`. Or copy the skill folder (ACL-Skills/skills/acl-author-response in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/acl-author-response in your project. Claude Code loads it when a task matches its description.

How do I install Acl Author Response in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-author-response -a codex`. Or copy the skill folder (ACL-Skills/skills/acl-author-response in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/acl-author-response in your project. Codex loads it when a task matches its description.

Can I use Acl Author Response in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-author-response -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/acl-author-response, .gemini/skills/acl-author-response, .github/skills/acl-author-response and .opencode/skills/acl-author-response in your project.

What does Acl Author Response need to run?

SKILL.md names no scripts, command-line tools or credentials: Acl Author Response is instructions for the agent only.

Does Acl Author Response access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Acl Author Response safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Acl Author Response use?

Acl Author Response is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Acl Author Response use?

About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Acl Author Response?

Skills that share tags, products or a category with Acl Author Response: Responsive Units (thedaviddias/Front-End-Checklist, 74k stars), Hermes Agent Skill Authoring (NousResearch/hermes-agent, 252k stars), Eacl Author Response (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Emnlp Author Response (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Acl Author Response?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.