uai-camera-ready
Use when converting an accepted UAI paper into its PMLR proceedings version, covering de-anonymization, final formatting against the UAI template, metadata for the PMLR volume, restoring public code and data links, poster and spotlight preparation for the conference, and sequencing work back from the camera-ready deadline.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uai-camera-ready --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# UAI Camera Ready Use this after the acceptance email. In the 2026 cycle, notification was June 1 and camera-ready files were due July 27, ahead of the August 17–21 conference in Amsterdam — roughly eight weeks that also contain registration, travel, and poster production. Reopen the current camera-ready instructions on the UAI site before starting; PMLR mechanics and page allowances are settled per cycle and were not fully published at pack-verification time (final-version page allowance: 待核实). ## Where the paper is going Accepted UAI papers are published as a volume of the Proceedings of Machine Learning Research. The series is open access with no author-side publication fee; the conference is funded by registration. Recent anchors, useful for citing prior UAI work correctly and for knowing what your own entry will look like: UAI 2021 = PMLR v161, 2022 = v180, 2023 = v216, 2024 = v244, 2025 = v286. The 2026 volume number is assigned by PMLR (待核实 until the volume page exists). ```bibtex @inproceedings{deshpande24a, title = {Calibrated and Conformal Propensity Scores for Causal Effect Estimation}, author = {Deshpande, Shachi and Kuleshov, Volodymyr}, booktitle = {Proceedings of th
- Where the paper is going
- De-anonymization pass
- Reconciling with the review record
- Production checklist
- Presentation obligations
- Small print that bites in July
- Sequence from acceptance to the conference
- Metadata consistency sweep
- Output format
What does the uai-camera-ready skill do?
Use when converting an accepted UAI paper into its PMLR proceedings version, covering de-anonymization, final formatting against the UAI template, metadata for the PMLR volume, restoring public code and data links, poster and spotlight preparation for the conference, and sequencing work back from the camera-ready deadline.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uai-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.