A skill your agent uses when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices…

MITAuto-check passed

Install Acl Supplementary

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-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/ACL-Skills/skills/acl-supplementary .claude/skills/acl-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
acl-supplementary
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
672 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices…

  • Organizing appendices and supplementary material for an ACL paper under ACL Rolling Review
  • SKILL.md covers The ACL page anatomy, What must not leave the body, What appendices are good at and Limitations section that…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering the mandatory Limitations and optional ethics sections

What it does

Acl Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices after references, anonymized software and data archives, the no-cloud-links rule, and deciding what must stay in the 8-page or 4-page body.

Its SKILL.md is about 1.5k 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

  • Organizing appendices and supplementary material for an ACL paper under ACL Rolling Review
  • Covering the mandatory Limitations and optional ethics sections
  • Appendices after references
  • Anonymized software and data archives

Example prompts

  • “/acl-supplementary”

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 Supplementary loads about 1.5k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 672 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 672 words, ~1,491 tokens.

Download SKILL.mdSave it as .claude/skills/acl-supplementary/SKILL.md (or your agent's skills folder).
name
acl-supplementary
description
Use when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices after references, anonymized software and data archives, the no-cloud-links rule, and deciding what must stay in the 8-page or 4-page body.

ACL Supplementary

Use this when splitting an ACL paper between body, appendix, and archive. The governing ARR principle: reviewers are not required to consider material in appendices or supplements, so anything decision-critical that lives only there is effectively invisible.

The ACL page anatomy

text
[ content pages: 8 long / 4 short ]   <- the reviewed argument lives here
[ Limitations (REQUIRED, unlimited) ] <- after conclusion, outside page count
[ Ethics statement (optional) ]
[ References (unlimited) ]
[ Appendices (unlimited, same PDF) ]  <- optional reading for reviewers
+ separate .tgz/.zip archive          <- software / data supplement

Missing Limitations is a desk-reject condition; treating it as one throwaway sentence is a review-stage penalty even when it passes the gate.

What must not leave the body

  • The main results table and the headline comparison.
  • Task definition and enough of the method that a reviewer can judge novelty.
  • At least a summary of the error analysis — a pointer-only error analysis reads as not having one.
  • Human-evaluation design in one paragraph: raters, items, agreement.
  • The experimental setup at reproduction-outline level; full grids can go down.

What appendices are good at

  • Full prompt texts and few-shot exemplars (reference them per experiment).
  • Complete hyperparameter tables and search ranges.
  • Per-language / per-dataset breakdowns behind an averaged headline number.
  • Annotation guidelines and interface screenshots.
  • Extended qualitative examples and additional ablations.
  • Proofs or derivations for the occasional formal result.

Limitations section that actually works

Weak patternStronger ACL pattern
"Results may not generalize"Name the languages, domains, and model scales actually tested and the nearest untested regime
"LLMs can hallucinate"State which conclusions depend on a specific model snapshot and API behavior
Silent on dataNote license constraints, demographic skew, or collection-window bias in the corpora used
Written last-minuteMirrors the risks reviewers will find anyway, defusing them on your terms

ACL's policy explicitly instructs reviewers not to punish honest limitations, which makes this section the cheapest goodwill in the whole submission.

Archive rules and hygiene

  • Upload software/data as .tgz or .zip in the OpenReview fields; personal cloud-storage links are barred, and any external page must be anonymous and untracked.
  • Strip authorship trails: git history, notebook metadata, absolute paths with usernames, license headers, README contact lines.
  • Test the archive on a clean machine: it must unpack, the README must state what maps to which table, and nothing should require credentials just to read.
  • Include model outputs where feasible so reviewers can verify scoring without compute (see acl-reproducibility).

Body-vs-appendix vignette

A long paper introduces a retrieval-augmented QA method with results on six benchmarks in three languages. Body: method figure, main table (six benchmarks averaged + per-language block), two-paragraph error analysis, one ablation that carries the mechanism claim. Appendix: full per-benchmark tables, prompts, retrieval index details, remaining ablations, annotation guidelines for the human study. Archive: code, prompts as files, and all model outputs. The test: a reviewer who never scrolls past the references can still reconstruct and believe every claim in the abstract.

Show full SKILL.md (235 more words)Show less

Appendix ordering convention that reviewers navigate well

  • A: full experimental setup (models, hyperparameters, hardware, budgets).
  • B: prompts and few-shot exemplars, one subsection per experiment.
  • C: complete results — per-dataset, per-language, per-seed tables behind every averaged number in the body.
  • D: annotation materials — guidelines, interface, pay, agreement detail.
  • E: additional analyses and ablations, each forward-referenced from the body at least once (unreferenced appendix content is invisible).
  • F: qualitative examples, marked as random or curated — say which.

Number tables and figures continuously with the body so the author response can cite "Table 9" unambiguously during the discussion phase.

Ethics statement: when to write one

Write it when the paper involves human subjects or annotators, scraped user-generated content, demographic inference, dual-use capability, or release of models/data with realistic misuse paths. Skip it when nothing applies — the Responsible NLP checklist already covers the routine cases, and a padded statement invites the very scrutiny it fails to answer. It shares the unlimited space after the conclusion with Limitations.

Size and dependency guardrails

  • Keep the archive small enough to download on conference-hotel wifi; reviewers abandon multi-gigabyte supplements unopened.
  • No credentials, no API keys, no gated-model weights — describe access paths instead of shipping secrets.
  • Pin dependency versions in one environment file; "latest transformers" is a different codebase every cycle.
  • If data cannot be shared (license, privacy), include the loader code and a synthetic sample with identical schema so scripts still run.

Output format

text
[Split status] sound / body-overloaded / appendix-dependent
[Limitations quality] substantive / ritual / missing
[Must-move-up] <decision-critical items currently below the fold>
[Archive check] <format/anonymity/clean-machine findings>
[Reviewer-blind spots] <claims visible only outside the body>

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

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Acl 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.

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File Organizerdavila7/claude-code-templates33k7 repos~1.6kAutomated safety check: PassMIT
Organize Spaceasgeirtj/system_prompts_leaks69k—~1.6kAutomated safety check: PassCC0-1.0
Organize Filesjxxghp/MoviePilot12k—~965Automated safety check: PassGPL-3.0
Investor Materialsaffaan-m/ECC276k3 repos~268Automated safety check: PassMIT

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Questions about Acl Supplementary

What does Acl Supplementary do?

A skill your agent uses when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices…. Acl Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices after references, anonymized software and data archives, the no-cloud-links rule, and deciding what must stay in the 8-page or 4-page body.

When should I use Acl Supplementary?

Acl Supplementary fits situations like: organizing appendices and supplementary material for an ACL paper under ACL Rolling Review; covering the mandatory Limitations and optional ethics sections; appendices after references; anonymized software and data archives.

How do I install Acl Supplementary in Claude Code?

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

How do I install Acl Supplementary in Codex?

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

Can I use Acl 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 acl-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/acl-supplementary, .gemini/skills/acl-supplementary, .github/skills/acl-supplementary and .opencode/skills/acl-supplementary in your project.

What does Acl Supplementary need to run?

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

Does Acl 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 Acl 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 Acl Supplementary use?

Acl 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 Acl Supplementary use?

About 1.5k tokens (SKILL.md is roughly 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 Supplementary?

Skills that share tags, products or a category with Acl Supplementary: Organization (thedaviddias/Front-End-Checklist, 74k stars), File Organizer (davila7/claude-code-templates, 33k stars), Organize Space (asgeirtj/system_prompts_leaks, 69k stars) and Organize Files (jxxghp/MoviePilot, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Acl 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.