Agent skill · Design & Presentation

emnlp-camera-ready

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.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-camera-ready --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: EMNLP-Skills/skills/emnlp-camera-ready/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 instruction

More from Awesome-Journal-Skills
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About this skill
What does the emnlp-camera-ready skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-camera-ready --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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