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A skill your agent uses when converting an accepted EMNLP paper — Main or Findings — into its ACL Anthology camera-ready form: de-anonymization, integrating response-phase commitments, Limitations…
MITAuto-check passed
Install Emnlp Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-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/EMNLP-Skills/skills/emnlp-camera-ready .claude/skills/emnlp-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 "emnlp-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-camera-ready into .claude/skills/emnlp-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-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/EMNLP-Skills/skills/emnlp-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 emnlp-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-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/EMNLP-Skills/skills/emnlp-camera-ready .agents/skills/emnlp-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 "emnlp-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-camera-ready into .agents/skills/emnlp-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-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 emnlp-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-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/EMNLP-Skills/skills/emnlp-camera-ready .cursor/skills/emnlp-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 "emnlp-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-camera-ready into .cursor/skills/emnlp-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-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 EMNLP-Skills/skills/emnlp-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 emnlp-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-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/EMNLP-Skills/skills/emnlp-camera-ready .gemini/skills/emnlp-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 "emnlp-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-camera-ready into .gemini/skills/emnlp-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-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 emnlp-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 emnlp-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/EMNLP-Skills/skills/emnlp-camera-ready .github/skills/emnlp-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 "emnlp-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-camera-ready into .github/skills/emnlp-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-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 emnlp-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 emnlp-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/EMNLP-Skills/skills/emnlp-camera-ready .opencode/skills/emnlp-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 "emnlp-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-camera-ready into .opencode/skills/emnlp-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-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
emnlp-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 808 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when converting an accepted EMNLP paper — Main or Findings — into its ACL Anthology camera-ready form: de-anonymization, integrating response-phase commitments, Limitations…
- Works in 3 steps: Start from the exact submitted source,… → Apply every edit committed in the… → Restore identity last: author block,…
- Converting an accepted EMNLP paper — Main
- SKILL.md covers The three-way merge, Page arithmetic after acceptance, Anthology metadata is forever and Artifact restoration, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Emnlp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted EMNLP paper — Main or Findings — into its ACL Anthology camera-ready form: de-anonymization, integrating response-phase commitments, Limitations and checklist-appendix handling, Anthology metadata hygiene, artifact link restoration, and Budapest presentation and registration logistics.
Its SKILL.md is about 1.7k 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
- Converting an accepted EMNLP paper — Main
- Findings — into its ACL Anthology camera-ready form: de-anonymization
- Integrating response-phase commitments
- Limitations and checklist-appendix handling
Example prompts
- “/emnlp-camera-ready”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Start from the exact submitted source, not a lab-internal draft that kept evolving.
- Apply every edit committed in the response, and only contribution-preserving edits
- Restore identity last: author block, acknowledgements, funding, and the real
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
Emnlp Camera Ready loads about 1.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 808 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). 808 words, ~1,678 tokens.
Download SKILL.mdSave it as
.claude/skills/emnlp-camera-ready/SKILL.md (or your agent's skills folder).- name
- emnlp-camera-ready
- description
- Use when converting an accepted EMNLP paper — Main or Findings — into its ACL Anthology camera-ready form: de-anonymization, integrating response-phase commitments, Limitations and checklist-appendix handling, Anthology metadata hygiene, artifact link restoration, and Budapest presentation and registration logistics.
EMNLP Camera Ready
Use this after the acceptance email. For EMNLP 2026 the notification landed August 20 and camera-ready was due September 20, for a hybrid conference in Budapest October 24-29. Main-conference and Findings papers both produce Anthology camera-readies on the same clock; what differs is the presentation package. Reopen the acceptance email and the current camera-ready instructions before acting — the conference, not ARR, owns this phase.
The three-way merge
A camera-ready is a merge of (a) the reviewed PDF, (b) the edits you promised during the response window, and (c) the de-anonymization diff. Do them in that order and keep the promises auditable:
- Start from the exact submitted source, not a lab-internal draft that kept evolving.
- Apply every edit committed in the response, and only contribution-preserving edits beyond that — SACs accepted a specific paper, not a direction.
- Restore identity last: author block, acknowledgements, funding, and the real repository links that replaced anonymized placeholders.
# Keep the promise trail honest: diff reviewed vs camera-ready source
latexdiff submitted/main.tex camera/main.tex > promise-audit.tex
grep -n "TODO\|anonymous\|anon\.4open\|XXXX" camera/*.tex # leftover anonymization
grep -rn "github.com\|huggingface.co" camera/*.tex # links now real and public?Page arithmetic after acceptance
Recent ACL-family practice grants accepted papers an extra content page to absorb reviewer-requested material — verify the 2026 allowance in the official instructions before using it (unconfirmed at 2026-07-08). Spend any extra space in value order: response-phase commitments first, then the error-analysis or scope clarifications reviewers wanted, and only then new polish. The Limitations section remains mandatory and uncounted; EMNLP 2025 additionally shipped the completed Responsible NLP checklist as a paper appendix — check whether 2026 repeats this and budget the pages.
Anthology metadata is forever
The ACL Anthology entry is generated from what you submit, and errors there outlive any typo in the PDF:
| Field | Failure that actually happens | Prevention |
|---|---|---|
| Author names | Diacritics dropped, name order flipped | Each coauthor confirms their own rendered name |
| Title casing | Anthology BibTeX propagates a miscased title | Match title field to the PDF exactly |
| Abstract | Form abstract is the pre-response version | Paste from the final PDF, not from OpenReview |
| PDF fonts | Non-embedded fonts break Anthology rendering | Embed all fonts; validate the final PDF |
The Anthology is open access with no author fee; there is no APC anywhere in this pipeline — budget goes to registration and travel instead.
Artifact restoration
Acceptance dissolves the anonymity constraint, so the artifact story flips from hiding identity to maximizing findability:
- Move code and data from anonymized archives to permanent public homes; add licenses, model cards or data statements, and the exact configs behind each table.
- Make the repository README point at the paper (Anthology link once live, arXiv meanwhile) and state which commit reproduces the camera-ready numbers.
- If the paper promised data release "upon acceptance," this is the moment that promise becomes checkable — and NLP readers do check.
Findings-specific handling
A Findings camera-ready is a full peer-reviewed publication in its own Anthology volume
(20XX.findings-emnlp), on the same deadline. Presentation options for Findings papers
have varied by edition and were unconfirmed for 2026 at check time — ask the program
chairs rather than assuming a poster exists or does not. Cite your own paper as
"Findings of the Association for Computational Linguistics: EMNLP 2026" — miscrediting
it to the main proceedings is a small dishonesty reviewers of your next paper will
notice.
Show full SKILL.md (289 more words)Show less
Presentation and logistics (hybrid, verify specifics)
- EMNLP 2026 is hybrid; the exact in-person versus virtual presentation obligations and registration tiers were 待核实 at check time — confirm which registration category the accepted paper requires and by when.
- Poster and talk formats, session assignment, and video or slide upload deadlines arrive by email between camera-ready and the conference; nominate one author to own that inbox.
- Budapest in late October: visa lead times for many passports exceed the notification-to-conference gap — the visa-chairs contact exists for exactly this, and early outreach beats airport improvisation.
Camera-ready week, ordered
- Rebuild from the submitted source and apply the promise list (response commitments first) with the diff audit running.
- Verify the 2026 page allowance and checklist-appendix requirement in the official instructions — both were unconfirmed at pack-check time and both change layout.
- De-anonymize: author block, acknowledgements, funding, real links; then rerun the leftover-anonymization grep, because "anon.4open.science" surviving into the Anthology is a permanent embarrassment.
- Each coauthor confirms their own name rendering and affiliation; the submitting author confirms title and abstract fields against the final PDF.
- Publish the artifact repository, pin the reproducing commit, and test every link in the PDF from a logged-out browser.
- Upload early enough to survive one round of publication-chair bounce-back (font embedding and metadata complaints are routine).
After Budapest
Two post-conference tasks close the loop cleanly: update the arXiv version (if one exists) to the camera-ready content with the Anthology citation on page one, so the version the field actually downloads credits the venue; and record the paper's final BibTeX from the Anthology itself rather than hand-writing it — Anthology BibTeX is the canonical form your citers will use, and your own reference lists should match it.
Output format
[Camera-ready state] merge pending / promises applied / metadata verified / uploaded
[Promise audit] <response commitment -> edit location>
[Anthology metadata] <names / title / abstract / fonts checked>
[Artifacts] <repo public, licensed, commit-pinned: yes/no per artifact>
[Logistics] <registration, presentation format, visa owner>© 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 EMNLP-Skills/skills/emnlp-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Emnlp 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 |
|---|---|---|---|---|---|---|
| Emnlp Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Convertremotion-dev/remotion | 63k | — | ~247 | Automated safety check: Pass | Custom licence | |
| Find Releaseflutter/flutter | 179k | — | ~545 | Automated safety check: Pass | BSD-3-Clause | |
| QA Acceptancepaperclipai/paperclip | 99k | — | ~964 | Automated safety check: Pass | MIT | |
| Fd Findpenpot/penpot | 61k | — | ~882 | Automated safety check: Pass | MPL-2.0 | |
| Acceptance Orchestratorsickn33/agentic-awesome-skills | 47k | 2 repos | ~943 | Automated safety check: Pass | MIT |
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- Official
Find Release
flutter/flutter
A skill to find the lowest Dart and Flutter release containing a given commit.
QA Acceptance
paperclipai/paperclip
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
Fd Find
penpot/penpot
A fast and user-friendly alternative to 'find' - simple syntax, smart defaults, respects gitignore.
Acceptance Orchestrator
sickn33/agentic-awesome-skills
A skill your agent uses when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
Acceptance Evidence for Deliveries
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Verifies a delivery end to end by driving the real product on a CLI, web, desktop or iOS Simulator surface, capturing evidence and publishing a round with the lh CLI.
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Questions about Emnlp Camera Ready
What does Emnlp Camera Ready do?
A skill your agent uses when converting an accepted EMNLP paper — Main or Findings — into its ACL Anthology camera-ready form: de-anonymization, integrating response-phase commitments, Limitations…. Emnlp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted EMNLP paper — Main or Findings — into its ACL Anthology camera-ready form: de-anonymization, integrating response-phase commitments, Limitations and checklist-appendix handling, Anthology metadata hygiene, artifact link restoration, and Budapest presentation and registration logistics.
When should I use Emnlp Camera Ready?
Emnlp Camera Ready fits situations like: converting an accepted EMNLP paper — Main; findings — into its ACL Anthology camera-ready form: de-anonymization; integrating response-phase commitments; limitations and checklist-appendix handling.
How do I install Emnlp Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-camera-ready -a claude-code`. Or copy the skill folder (EMNLP-Skills/skills/emnlp-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/emnlp-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Emnlp Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-camera-ready -a codex`. Or copy the skill folder (EMNLP-Skills/skills/emnlp-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/emnlp-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Emnlp 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 emnlp-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/emnlp-camera-ready, .gemini/skills/emnlp-camera-ready, .github/skills/emnlp-camera-ready and .opencode/skills/emnlp-camera-ready in your project.
What does Emnlp Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Emnlp Camera Ready is instructions for the agent only.
Does Emnlp 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 Emnlp 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 Emnlp Camera Ready use?
Emnlp 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 Emnlp Camera Ready use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Emnlp Camera Ready?
Skills that share tags, products or a category with Emnlp Camera Ready: Convert (remotion-dev/remotion, 63k stars), Find Release (flutter/flutter, 179k stars), QA Acceptance (paperclipai/paperclip, 99k stars) and Fd Find (penpot/penpot, 61k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Emnlp Camera Ready?
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.