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.
SkillScore95Maintained
Automatic
◆Research pack
Last verified 8/15/2026
What it changes
Passed 21 of 22 test cases with the skill, and 14 of 22 without it.
Without skill64%
With skill95%
Checks it passed that the model alone missed
Specifies a 9-page limit for the camera-ready main body.
Uses a 9-page main body allowance instead of an 8-page cutoff.
Mandates in-person attendance verification for at least one author.
and 5 more in the full report
7 fixed14 passed either way1 still failing0 broke
Pass-rate lift
+32 pp
Tokens
+17%
Agent turns
0%
Response time
-24%
Model gemini-3.6-flashMeasured 8/15/2026v121 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 7
Prompt
Our AISTATS paper was accepted and we have prepared the camera-ready version by turning off anonymity, adding our author block, and addressing meta-review comments. Please perform a full camera-ready audit on our draft. Format your response with sections for camera-ready status, final package inventory, policy checks, a reviewer-change map, and remaining owner tasks.
What was checked, without and with the skill
Checked
Without skill
With skill
Specifies a 9-page limit for the camera-ready main body.
Missed
Passed
Mandates in-person attendance verification for at least one author.
Missed
Passed
case-01 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md63 linessingle file
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
Use when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.