Agent skill · Code Review & Quality

acl-camera-ready

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.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-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: 6 KB
Bundled scripts: none
Path: ACL-Skills/skills/acl-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

# 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

What's inside
Steps it walks through
  1. The extra page and what it is for
  2. De-anonymization pass
  3. Anthology-facing metadata
  4. Integrating reviewer-mandated changes
  5. Main conference vs Findings logistics
  6. Camera-ready week runbook
  7. Common camera-ready rejections and rework requests
  8. If the paper landed in Findings
  9. Presentation assets riding the same deadline window
  10. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the acl-camera-ready skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-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.

Keep going