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Agent skill

Naacl Supplementary

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when deciding what goes into the content pages, the uncounted sections, the appendix, and the optional uploads of a NAACL-bound ARR submission — allocating material by what…

MITAuto-check passed

Install Naacl Supplementary

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills naacl-supplementary --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-supplementary .claude/skills/naacl-supplementary && 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-supplementary
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
601 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding what goes into the content pages, the uncounted sections, the appendix, and the optional uploads of a NAACL-bound ARR submission — allocating material by what…

  • Works in 4 steps: Every appendix section gets at least one… → Order appendix sections by reference… → Tables that exist only to prove… → …
  • Deciding what goes into the content pages
  • SKILL.md covers The NAACL-specific space…, Limitations: uncounted but not…, Appendix construction discipline and Tier migration during revision…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Naacl Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what goes into the content pages, the uncounted sections, the appendix, and the optional uploads of a NAACL-bound ARR submission — allocating material by what reviewers are actually obliged to read, and keeping glossed language examples and long tables from starving the main argument.

Its SKILL.md is about 1.3k 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

  • Deciding what goes into the content pages
  • The uncounted sections
  • The optional uploads of a NAACL-bound ARR submission — allocating material by what reviewers are actually obliged to read
  • Keeping glossed language examples and long tables from starving the main argument

Example prompts

  • “/naacl-supplementary”

Workflow steps

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

  1. Every appendix section gets at least one forward reference from the
  2. Order appendix sections by reference order, not by writing order.
  3. Tables that exist only to prove thoroughness (per-seed dumps, all-prompt
  4. Nothing decision-critical enters the appendix after the response window

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 (its code samples are bash).

    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 Supplementary loads about 1.3k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 601 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 601 words, ~1,303 tokens.

Download SKILL.mdSave it as .claude/skills/naacl-supplementary/SKILL.md (or your agent's skills folder).
name
naacl-supplementary
description
Use when deciding what goes into the content pages, the uncounted sections, the appendix, and the optional uploads of a NAACL-bound ARR submission — allocating material by what reviewers are actually obliged to read, and keeping glossed language examples and long tables from starving the main argument.

NAACL Supplementary

An ARR submission bound for NAACL has four storage tiers with different review contracts, and misfiling material across them is a self-inflicted wound. The tiers, from strongest contract to weakest:

TierCounted?Reviewer obligationBelongs here
Content pages (8 long / 4 short)YesMust read; sole basis of judgmentClaims, method, main results, decisive analysis
Limitations (+ optional ethics)NoRead and auditedReal scope boundaries, risk discussion
Appendix (same PDF, after refs)NoMay consultFull prompt sets, extra tables, proofs of preprocessing
Uploaded supplements (archives)NoDiscretionaryCode, data samples, guidelines, raw outputs

The operating rule: a reviewer who reads only tier 1 must be able to accept the paper. If a claim's only support lives in tier 3 or 4, the claim is unsupported for decision purposes.

The NAACL-specific space pressure: examples in other languages

Papers on Spanish, Portuguese, Haitian Creole, or Indigenous American languages carry a cost English-only papers never pay: every example needs the original line, a gloss, and a translation — three lines where a monolingual paper spends one. Budget for it deliberately:

  • Keep two or three load-bearing glossed examples in the content pages — the ones your error analysis actually turns on.
  • Move the example gallery to the appendix, one pointer per phenomenon.
  • Never compress by dropping the gloss line; an unglossed example excludes every reviewer who does not read the language, which at a Nations-of-the-Americas venue is a strange own goal.
  • Interlinear-gloss LaTeX packages (gb4e, expex) interact badly with tight column budgets; test early, not the night before.

Limitations: uncounted but not unread

The Limitations section costs no pages, and reviewers check whether the weaknesses they found appear in it. Write it as the paper's honest edge:

  • which language varieties and domains the claims do not extend to;
  • resource asymmetries (a 7B model per language vs. one multilingual run);
  • annotation limits — single-dialect annotators, small agreement samples;
  • what the community-data terms prevented you from testing or releasing.

A Limitations section that predicts the reviews reads as mastery; one that lists "compute was limited" reads as filler.

Show full SKILL.md (259 more words)Show less

Appendix construction discipline

  1. Every appendix section gets at least one forward reference from the content pages; unreferenced appendices are invisible.
  2. Order appendix sections by reference order, not by writing order.
  3. Tables that exist only to prove thoroughness (per-seed dumps, all-prompt grids) go last, clearly labeled as completeness material.
  4. Nothing decision-critical enters the appendix after the response window — reviewers scored the paper without it.

Tier migration during revision cycles

Material moves between tiers as the paper evolves, and each direction has a rule:

  • Promotion (appendix → body): legitimate any time before upload; after reviews, promote only what the response window discussed — reviewers scored the body they read.
  • Demotion (body → appendix): the standard compression move; leave a one-line summary plus pointer at the original location so the argument's spine stays visible.
  • Resubmission reshuffles: if a prior cycle's reviewer ignored appendix evidence, the fix is usually promotion plus a change-summary line saying so — not a complaint that the evidence existed.
  • Never migrate silently between the reviewed version and camera-ready: the tier map of the accepted paper is part of what was accepted.

Upload-tier packaging check

bash
# Pre-upload sweep of the supplement archive
unzip -l supp.zip | grep -Ei '\.git/|DS_Store|__pycache__|\.ipynb_checkpoints'
# Anonymity: usernames, lab paths, letterheads
unzip -p supp.zip '*.md' '*.py' '*.txt' | grep -nEi '/(home|Users)/[a-z]+|university|lab\b'
# Size and openability on a clean machine
du -h supp.zip && unzip -t supp.zip > /dev/null && echo OK

Allocation walkthrough

A 9.5-page draft on named-entity recognition for three code-switched pairs: the per-pair ablation grid (0.7 pages) moves to the appendix behind one summary row; four of six glossed examples move to an appendix gallery; the dialect-coverage caveat moves out of a footnote into Limitations where it is free; the annotation guidelines PDF and scoring scripts go to the upload tier. Result: 8.0 content pages, no claim orphaned outside tier 1.

Output format

text
[Tier map] <major item -> tier -> justified?>
[Orphaned claims] <claims supported only outside content pages>
[Gloss budget] <examples kept in body / moved / at risk>
[Limitations audit] <predicted objections covered?>
[Archive sweep] clean / findings

© 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-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Naacl Supplementary 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.

Naacl Supplementary compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Naacl Supplementary this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Emnlp Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Colm Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Wsdm Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
Naacl Submissionbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
Icdm Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1kAutomated safety check: PassMIT

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Questions about Naacl Supplementary

What does Naacl Supplementary do?

A skill your agent uses when deciding what goes into the content pages, the uncounted sections, the appendix, and the optional uploads of a NAACL-bound ARR submission — allocating material by what…. Naacl Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what goes into the content pages, the uncounted sections, the appendix, and the optional uploads of a NAACL-bound ARR submission — allocating material by what reviewers are actually obliged to read, and keeping glossed language examples and long tables from starving the main argument.

When should I use Naacl Supplementary?

Naacl Supplementary fits situations like: deciding what goes into the content pages; the uncounted sections; the optional uploads of a NAACL-bound ARR submission — allocating material by what reviewers are actually obliged to read; keeping glossed language examples and long tables from starving the main argument.

How do I install Naacl Supplementary in Claude Code?

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

How do I install Naacl Supplementary in Codex?

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

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

What does Naacl Supplementary need to run?

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

Does Naacl Supplementary 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 Supplementary 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 Supplementary use?

Naacl Supplementary 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 Supplementary use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Supplementary?

Skills that share tags, products or a category with Naacl Supplementary: Emnlp Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Colm Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Wsdm Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Naacl Submission (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 Supplementary?

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.