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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 pr…

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Universal

Our assessment of acl-camera-ready

acl-camera-ready scores 90/100 on our quality scale, 1228th of 4,610 Development & Engineering skills we index (top 27%).

Its SKILL.md is 6.2 KB long, well organised into 11 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so acl-camera-ready is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

acl-camera-ready compared with similar skills

All 4 of these similar skills score higher than acl-camera-ready; compare them before choosing.

SkillScoreStarsUpdatedFormat
acl-camera-ready (this skill)by brycewang-stanford901.2k18d agoSKILL.md
ai-job-searchby MadsLorentzen10044.8ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md

Frequently asked questions

How do I install acl-camera-ready?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready. The install tabs above show the steps for each supported agent.
Which AI agents does acl-camera-ready work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is acl-camera-ready safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is acl-camera-ready still maintained?
The repository was last updated 18 days ago, so acl-camera-ready is actively maintained.

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:

  1. Extract every "should," "must," and "the authors agreed to" from the meta-review and discussion thread into a checklist.
  2. 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.
  3. Keep section and table numbering stable where possible so the review record still points at the right objects.
  4. 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.

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 everything

Common 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>

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryDevelopment
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions