Research Writing
alfonso0512/research-writing-skill
科研论文写作助手，提供 30 个 Prompt 模板覆盖论文写作全流程. An agent skill from alfonso0512/research-writing-skill.
A skill your agent uses when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance…
Install Acl Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-camera-ready --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-camera-ready .claude/skills/acl-camera-ready && rm -rf skills-srcUse ~/.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/
Install the "acl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-camera-ready into .claude/skills/acl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acl-camera-ready", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-camera-readyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-camera-ready --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ACL-Skills/skills/acl-camera-ready .agents/skills/acl-camera-ready && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "acl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-camera-ready into .agents/skills/acl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acl-camera-ready", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-camera-ready --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ACL-Skills/skills/acl-camera-ready .cursor/skills/acl-camera-ready && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "acl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-camera-ready into .cursor/skills/acl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acl-camera-ready", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path ACL-Skills/skills/acl-camera-ready--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-camera-ready --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ACL-Skills/skills/acl-camera-ready .gemini/skills/acl-camera-ready && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "acl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-camera-ready into .gemini/skills/acl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acl-camera-ready", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-camera-readyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ACL-Skills/skills/acl-camera-ready .github/skills/acl-camera-ready && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "acl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-camera-ready into .github/skills/acl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acl-camera-ready", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acl-camera-ready --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ACL-Skills/skills/acl-camera-ready .opencode/skills/acl-camera-ready && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "acl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACL-Skills/skills/acl-camera-ready into .opencode/skills/acl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acl-camera-ready", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
acl-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 736 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance…
- Works in 4 steps: Extract every "should," "must," and "the… → Map each to an edit: new sentence, moved… → Keep section and table numbering stable… → …
- Preparing an accepted ACL main-conference
- SKILL.md covers The extra page and what it is…, De-anonymization pass, Anthology-facing metadata and Integrating reviewer-mandated…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Acl Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode logistics.
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.
It sits in Documents & Office. 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
- Preparing an accepted ACL main-conference
- Findings paper for camera-ready
- Covering the extra content page
- De-anonymization and acknowledgements
Example prompts
- “/acl-camera-ready”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Extract every "should," "must," and "the authors agreed to" from the
- Map each to an edit: new sentence, moved table, scoped claim, added
- Keep section and table numbering stable where possible so the review
- Re-run the checklist consistency pass: if you promised error bars or a
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 Camera Ready loads about 1.6k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 736 words of instructions outside code blocks.
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). 736 words, ~1,589 tokens.
Download SKILL.mdSave it as
.claude/skills/acl-camera-ready/SKILL.md (or your agent's skills folder).- name
- acl-camera-ready
- description
- Use when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode logistics.
ACL Camera Ready
Use this after ACL (or Findings of ACL) acceptance. Camera-ready quality controls how the paper looks forever in the ACL Anthology, which is the permanent open-access record. For ACL 2026 the camera-ready deadline was April 19, 2026 — confirm the current edition's date in the acceptance email before planning anything.
The extra page and what it is for
- Accepted *ACL papers traditionally receive one additional content page: long papers up to 9 pages, short papers up to 5. The page exists to address reviewer and meta-review comments, not to smuggle in a new contribution.
- Spend it in priority order: fixes the meta-review asked for, clarifications reviewers requested, then de-anonymization overhead (author block, acknowledgements) which consumes real space.
- References remain unlimited; the Limitations section remains mandatory in the camera-ready and still sits outside the page count.
De-anonymization pass
- Restore authors, affiliations, and acknowledgements; convert third-person self-citations ("Smith showed") back to natural first person where clearer.
- Replace anonymous supplement links with the permanent public repository, dataset page, or model card; test every URL logged out.
- Add the funding and AI-assistance acknowledgements: ACL policy requires generative-AI use beyond polishing to be disclosed, with details in the Acknowledgements matching your Responsible NLP checklist answers.
Anthology-facing metadata
| Item | Why it matters at ACL | Common error |
|---|---|---|
| Title/abstract in the form | Becomes the Anthology landing page | Unicode or LaTeX macros pasted raw |
| Author names + order | Permanent citation record, BibTeX for everyone | Name spelled differently than prior papers |
| PDF fonts embedded | Anthology archival requirement | Missing Type-1/TrueType embedding from figures |
| License acceptance | Anthology publishes under CC BY 4.0 (post-2016 policy) | Assuming you can restrict reuse later |
| Video/poster uploads | Linked from the Anthology page when provided | Skipped, losing visibility |
Publication in the Anthology is open access with no author fee; ACL's cost model is conference registration, not APCs.
Integrating reviewer-mandated changes
Work from the meta-review, not memory:
- Extract every "should," "must," and "the authors agreed to" from the meta-review and discussion thread into a checklist.
- Map each to an edit: new sentence, moved table, scoped claim, added citation. The accepted contribution must not silently grow — a stronger claim than reviewers evaluated is an integrity problem, not a bonus.
- Keep section and table numbering stable where possible so the review record still points at the right objects.
- Re-run the checklist consistency pass: if you promised error bars or a contamination note in discussion, the camera-ready must contain it.
Main conference vs Findings logistics
- Findings papers are full peer-reviewed publications in the Anthology but are typically not part of the main oral program; presentation options (Findings poster sessions, workshop presentation slots, videos) vary per edition — check the current conference's Findings instructions rather than assuming.
- Registration and presentation expectations differ by track and edition; ACL 2026 ran as a hybrid conference in San Diego (July 2-7, 2026). Verify the current attendance requirement before booking or skipping travel.
Show full SKILL.md (256 more words)Show less
Camera-ready week runbook
Day 1: meta-review edit checklist; claim-scope audit
Day 2: de-anonymize; acknowledgements incl. funding + AI disclosure
Day 3: public artifact links live; README + license on the repo
Day 4: rebuild with final style; font embedding + page-count check
Day 5: metadata form; abstract matches PDF; submit and archive everythingCommon camera-ready rejections and rework requests
- Unembedded fonts from matplotlib or Inkscape figures — regenerate with embedding forced rather than patching the PDF.
- Title case mismatch between the form and the PDF, or LaTeX math left in the plain-text abstract field.
- Author list drift: an author added or reordered after review needs chair approval, not a silent metadata edit.
- Limitations section deleted "for space" — it is still required and still free; removing it can bounce the paper at publication checks.
- Non-resolving artifact URLs: the Anthology page will outlive your lab server; prefer archived, versioned hosting for the link of record.
If the paper landed in Findings
- The Anthology volume is "Findings of the Association for Computational
Linguistics: ACL
<year>" — cite and list it that way; miscrediting your own venue tier propagates into others' bibliographies. - Camera-ready mechanics are the same as main-conference papers, extra page included; deadlines are usually shared — confirm in the decision letter.
- Ask early which presentation options the edition offers Findings papers (poster session, affiliated workshop slot, video); slots can require separate sign-up shortly after notification.
Presentation assets riding the same deadline window
- Poster/slide templates, video-upload requirements, and session-format details arrive with or shortly after camera-ready instructions; the video deadline is often earlier than authors expect.
- Registration typically must be completed by a named author before the paper is scheduled — check the decision email for the binding rule.
- Book the error budget: font, metadata, and form rejections bounce back days later, so submitting on the deadline hour forfeits the retry.
Output format
[Camera-ready status] Ready / Needs fixes / Blocked
[Meta-review edits] <requested change -> edit made>
[Extra-page budget] <what the added space was spent on>
[De-anonymization + disclosure] <authors/acks/AI-use/links status>
[Anthology package] <PDF/metadata/license/artifact links>© 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-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Acl Camera Ready 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Acl Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Research Writingalfonso0512/research-writing-skill | 488 | 1 repos | ~818 | Automated safety check: Pass | MIT | |
| Paper WritingMLNLP-World/Paper-Writing-Tips | 4.7k | — | ~630 | Automated safety check: Pass | None | |
| PaperjurySpark-To-Paper-Skills/paperjury | 1.2k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Literature Surveyai4s-research/ai4s-skills | 237 | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| Venue TemplatesK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~2.9k | Automated safety check: Pass | MIT |
Similar skills
Paper Writing
MLNLP-World/Paper-Writing-Tips
学术论文写作检查与优化助手。基于 MLNLP-World 社区整理的论文写作技巧，帮助检查和优化学术论文。Use when: (1) 检查论文 LaTeX 格式和排版, (2) 优化公式符号使用, (3) 改进图表设计, (4) 润色英文学术表达, (5) 检查参考文献格式, (6) 投稿前终稿检查, (7) 用户询问论文写作技巧或规范。
Paperjury
Spark-To-Paper-Skills/paperjury
Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML).
Literature Survey
ai4s-research/ai4s-skills
A skill your agent uses when the user wants a comprehensive literature survey on a specific research topic.
Venue Templates
K-Dense-AI/claude-scientific-writer
Prepare journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds.
Press Conference Revision Evidence Bound
lensback940701/Evidence-Bound-Press-Conference-Revision-Skill
Diagnose and revise defensive academic writing while preserving claim ceilings, evidence status, scope conditions, rival explanations, and conceptual hierarchy.
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Related
Categories
Questions about Acl Camera Ready
What does Acl Camera Ready do?
A skill your agent uses when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance…. Acl Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills.0 publication, meta-review-driven edits, and presentation-mode logistics.
When should I use Acl Camera Ready?
Acl Camera Ready fits situations like: preparing an accepted ACL main-conference; findings paper for camera-ready; covering the extra content page; de-anonymization and acknowledgements.
How do I install Acl Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a claude-code`. Or copy the skill folder (ACL-Skills/skills/acl-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/acl-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Acl Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -a codex`. Or copy the skill folder (ACL-Skills/skills/acl-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/acl-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Acl Camera Ready 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-camera-ready -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-camera-ready, .gemini/skills/acl-camera-ready, .github/skills/acl-camera-ready and .opencode/skills/acl-camera-ready in your project.
What does Acl Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Acl Camera Ready is instructions for the agent only.
Does Acl Camera Ready 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 Camera Ready 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 Camera Ready use?
Acl Camera Ready 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 Camera Ready 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 Acl Camera Ready?
Skills that share tags, products or a category with Acl Camera Ready: Research Writing (alfonso0512/research-writing-skill, 488 stars), Paper Writing (MLNLP-World/Paper-Writing-Tips, 4.7k stars), Paperjury (Spark-To-Paper-Skills/paperjury, 1.2k stars) and Literature Survey (ai4s-research/ai4s-skills, 237 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Acl Camera Ready?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.