SkillAgentSearch skills...

aistats-camera-ready

Use when preparing accepted AISTATS papers for PMLR camera-ready submission, covering the 9-page final body, two-column layout reflow, author de-anonymization, proceedings forms, metadata, final appendix handling, registration, in-person presentation obligations, and public artifact release.

Install / Use

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

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Our assessment of aistats-camera-ready

aistats-camera-ready scores 83/100 on our quality scale, 364th of 447 Communication skills we index.

Its SKILL.md is 3.4 KB long, split into 7 sections with 1 code example: a solid amount of guidance for an agent.

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

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so aistats-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.

aistats-camera-ready compared with similar skills

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

SkillScoreStarsUpdatedFormat
aistats-camera-ready (this skill)by brycewang-stanford831.2k18d agoSKILL.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md
designby nextlevelbuilder100130.2k12d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k12d agoSKILL.md

Frequently asked questions

How do I install aistats-camera-ready?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-camera-ready. The install tabs above show the steps for each supported agent.
Which AI agents does aistats-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 aistats-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 aistats-camera-ready still maintained?
The repository was last updated 18 days ago, so aistats-camera-ready is actively maintained.

name: aistats-camera-ready description: Use when preparing accepted AISTATS papers for PMLR camera-ready submission, covering the 9-page final body, two-column layout reflow, author de-anonymization, proceedings forms, metadata, final appendix handling, registration, in-person presentation obligations, and public artifact release.

AISTATS Camera Ready

Use this after acceptance. Reopen the current AISTATS camera-ready instructions, PMLR author kit, registration page, presentation policy, and OpenReview decision email before advising authors.

Camera-ready audit

  • Convert the anonymous submission to the public proceedings version: names, affiliations, acknowledgements, funding, code/data links, and author metadata.
  • Apply the current final-page limit. AISTATS 2026 allowed a 9-page camera-ready body, excluding references and supplementary material.
  • Check PMLR formatting, title/abstract metadata, author order, bibliography, appendix placement, and any required release or copyright forms.
  • Resolve reviewer and meta-review concerns without changing the accepted contribution beyond normal camera-ready clarification.
  • Prepare public artifacts: repository, data, model checkpoints, environment files, and archival links after anonymity no longer matters.
  • Confirm registration and presentation obligations. AISTATS 2026 required in-person attendance by at least one author for each accepted paper, with no remote presentation.

PMLR two-column reflow

  • AISTATS proceedings use a two-column PMLR layout; switching the style file from anonymous to accepted mode changes spacing, so recheck every page break, figure placement, and table width after the flip.
  • Wide theorem environments, long display equations, and multi-panel rate plots often need full-width spans; verify nothing is clipped at column boundaries.
  • Material that fit the submission body can overflow once the author block, acknowledgements, and funding lines are added; the extra camera-ready page usually absorbs this, but confirm rather than assume.
  • Keep theorem, assumption, and equation numbering identical to the reviewed version so the meta-review and discussion record remain traceable to the final text.

De-anonymization sweep

  • Restore the author block, acknowledgements, grants, and any contribution statements the anonymous version stripped.
  • Rewrite self-citations into natural first-person form where it improves clarity.
  • Replace anonymized repository placeholders with the public, licensed, citable archive and test every link from a logged-out browser.

Worked example: integrating a reviewer fix

The meta-review asked that a bounded-noise assumption move from the appendix into the main text. Camera-ready move: add the assumption to the theorem statement, one justification sentence, and a pointer to the appendix discussion — without strengthening the result into something the reviewers never evaluated.

Hedged logistics

  • Registration pricing, copyright-form mechanics, and exact camera-ready dates change every cycle; confirm against the decision email and the current proceedings instructions.

Output format

[Camera-ready status] Ready / Needs fixes / Blocked
[Final package] <PDF/source/bib/metadata/PMLR forms/artifacts>
[Policy checks] <page/authors/presentation/registration/artifact release>
[Reviewer-change map] <concern -> final edit>
[Remaining owner] <person -> task>

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryCommunication
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