# Acl Camera Ready

Use when preparing an accepted ACL main-conference or Findings paper for camera-ready...

- Repository: https://github.com/brycewang-stanford/Awesome-Journal-Skills (1346 stars)
- Category: Documents
- License: MIT
- Last updated: 2026-09-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -g -a claude-code -y`
Codex: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -g -a codex -y`
Cursor: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -g -a cursor -y`
Gemini CLI: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add brycewang-stanford/Awesome-Journal-Skills`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

The rest: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/ACL-Skills/skills/acl-camera-ready/SKILL.md