A skill your agent uses when writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on, drafting replies that give the action editor a…

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Install Naacl Author Response

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills naacl-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/NAACL-Skills/skills/naacl-author-response .claude/skills/naacl-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
naacl-author-response
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
811 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on, drafting replies that give the action editor a…

  • Works in 4 steps: Day 0-1: triage all reviews; classify by… → Day 1-3: run only the experiments that… → Day 3-4: draft, cross-check coordinates… → …
  • Writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on
  • SKILL.md covers Budgeting the window, Reply mechanics that fit ARR, Skeleton for a soundness reply and Tone repairs that change…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Naacl Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on, drafting replies that give the action editor a citable meta-review sentence, and protecting the score record that NAACL's committee will later read at commitment.

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

  • Writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on
  • Drafting replies that give the action editor a citable meta-review sentence
  • Protecting the score record that NAACLs committee will later read at commitment

Example prompts

  • “/naacl-author-response”

Workflow steps

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

  1. Day 0-1: triage all reviews; classify by the table above; assign owners.
  2. Day 1-3: run only the experiments that fit the window and change a score.
  3. Day 3-4: draft, cross-check coordinates against the submitted PDF.
  4. Final day: trim each reply toward its single decisive point; submit well

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

Naacl Author Response loads about 1.6k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 811 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
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). 811 words, ~1,608 tokens.

Download SKILL.mdSave it as .claude/skills/naacl-author-response/SKILL.md (or your agent's skills folder).
name
naacl-author-response
description
Use when writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on, drafting replies that give the action editor a citable meta-review sentence, and protecting the score record that NAACL's committee will later read at commitment.

NAACL Author Response

The response you write inside an ARR cycle is read twice: once by the reviewers and action editor who finish the meta-review, and once more — frozen — by NAACL's senior area chairs when you commit the package. That second audience changes the calculus. A reply that merely wins an argument helps less than a reply that leaves a clean, quotable record showing the objection was answered.

Budgeting the window

ARR response windows are short and reviewers rarely return for a second round. Rank objections by what they cost you downstream:

Objection classDownstream cost if unansweredResponse priority
Soundness attack (flawed eval, wrong baseline, leakage suspicion)Sinks both ARR scores and any NAACL commitmentAnswer first, with evidence coordinates
Coverage attack ("claims exceed the languages/domains tested")Recurring killer for Americas-flavored papersConcede scope or cite the table that grants it
Novelty doubtDamaging but survivable if excitement holdsAnswer with a two-sentence delta statement
Presentation complaintsCheap to fix, cheap to promiseBatch into one short commitment list
Requests for infeasible new experimentsLow — ARR forbids judging you on promises aloneScope honestly; run only what fits the window

Reply mechanics that fit ARR

  • Anchor every factual claim to a coordinate the reviewer can check in the version they read: section, table, appendix, line of the checklist.
  • New numbers are admissible only if they can be produced inside the window and stated in the response text itself; anything else is a camera-ready promise, labeled as such.
  • Keep anonymity intact — no lab names, no repository owners, no "as we showed at last year's workshop in Oaxaca."
  • Write the concession sentences yourself. An AC who finds "the authors agree the claim should be scoped to the five languages tested" in your words will reuse it; one who has to infer it may write something harsher.

Skeleton for a soundness reply

text
R2 raises leakage: the eval set may overlap pretraining data.
1. What we already did: §4.2 reports n-gram-overlap screening
   against the released corpus list (Table 5, appendix C).
2. What we ran this window: exact-match dedup on the 2 newest
   models; contaminated items = 0.8%, results shift < 0.3 F1.
3. What we will state at camera-ready: the screening protocol
   moves from appendix to §4, with the dedup numbers added.

Three moves — existing evidence, in-window evidence, camera-ready promise — each labeled, none blurred into the others.

Tone repairs that change outcomes

The frozen record amplifies tone: a defensive sentence reads worse at commitment than it did in the heat of the window.

Instinctive draftWhat the record showsRepaired version
"The reviewer clearly did not read Section 4."Author hostility, unresolved thread"Section 4.2 addresses this directly; we suspect the two-column layout buried it, and will promote the key sentence."
"This is standard practice in the field."Appeal to authority, no evidence"Three recent papers on this task use the same protocol [refs in §2]; we follow them for comparability."
"We will add these experiments to the final version."An unverifiable promise doing a result's job"We ran the two feasible configurations this week: X and Y (numbers below); the full grid is future work."
"We respectfully disagree." (paragraph follows)Disagreement without a decision path"The disagreement reduces to one empirical question: Q. Table 3 answers it as follows."
Show full SKILL.md (333 more words)Show less

The commitment-record test

Before sending, reread each reply pretending you are a NAACL SAC months later, skimming to decide Main versus Findings versus reject. Ask:

  • Does the thread end with the objection visibly resolved, narrowed, or honestly conceded — or does it just stop?
  • Did you correct a reviewer misreading politely and in one place, so the meta-review inherits the correction?
  • If scores stay low, does your final note give the commitment-stage reader a reason the paper is stronger than its numbers?

A response that fails this test may still sway one reviewer; it will do nothing for the audience that actually admits papers to NAACL.

Playing for the tier, not just the acceptance

Because NAACL sorts committed papers into Main and Findings, the response has two distinct win conditions, and knowing which one you are playing for changes the drafting:

  • If the reviews question soundness, you are playing to stay eligible at all — spend everything on the correctness record, and treat presentation complaints as an afterthought.
  • If the reviews concede soundness but doubt excitement or breadth, you are playing for Main over Findings — the highest-value sentences are the ones that reframe significance concretely: who uses this result, what it unblocks, which prior conclusion it revises.
  • A response cannot manufacture excitement that the paper lacks, but it can prevent an excitement objection from mutating into a soundness one ("limited scope" drifting toward "claims exceed evidence") by fixing the claim's wording on the spot.

State the tier goal in the team's triage notes before anyone drafts; mixed responses that half-defend correctness and half-oversell impact do neither job well.

Timing inside the cycle

  1. Day 0-1: triage all reviews; classify by the table above; assign owners.
  2. Day 1-3: run only the experiments that fit the window and change a score.
  3. Day 3-4: draft, cross-check coordinates against the submitted PDF.
  4. Final day: trim each reply toward its single decisive point; submit well before the AoE cutoff — OpenReview outages at deadlines are routine.

Output format

text
[Objection map] <reviewer -> class -> priority>
[In-window evidence] <what was actually run, with results>
[Concessions] <exact sentences offered>
[Camera-ready promises] <bounded list>
[Commitment-record check] pass / weak / fail per thread

© 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 NAACL-Skills/skills/naacl-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Naacl 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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Hermes Agent Skill AuthoringNousResearch/hermes-agent252k—~3.6kAutomated safety check: PassMIT
Configuring Oauth2 Authorization Flowmukul975/Anthropic-Cybersecurity-Skills34k—~1.7kAutomated safety check: PassApache-2.0
Icsme Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Fast Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT

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Questions about Naacl Author Response

What does Naacl Author Response do?

A skill your agent uses when writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on, drafting replies that give the action editor a…. Naacl Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on, drafting replies that give the action editor a citable meta-review sentence, and protecting the score record that NAACL's committee will later read at commitment.

When should I use Naacl Author Response?

Naacl Author Response fits situations like: writing the ARR author response for a paper headed to NAACL — deciding which reviewer objections to spend the window on; drafting replies that give the action editor a citable meta-review sentence; protecting the score record that NAACLs committee will later read at commitment.

How do I install Naacl Author Response in Claude Code?

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

How do I install Naacl Author Response in Codex?

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

Can I use Naacl 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 naacl-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/naacl-author-response, .gemini/skills/naacl-author-response, .github/skills/naacl-author-response and .opencode/skills/naacl-author-response in your project.

What does Naacl Author Response need to run?

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

Does Naacl 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 Naacl 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 Naacl Author Response use?

Naacl 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 Naacl Author Response use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Naacl Author Response?

Skills that share tags, products or a category with Naacl Author Response: Responsive Units (thedaviddias/Front-End-Checklist, 74k stars), Hermes Agent Skill Authoring (NousResearch/hermes-agent, 252k stars), Configuring Oauth2 Authorization Flow (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Icsme 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 Naacl 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.