From aistats-skills
Explains AISTATS peer review strategy including OpenReview workflow, reviewer expectations, decision criteria, and PMLR proceedings. Useful when planning submissions or navigating the review process.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aistats-skills:aistats-review-processThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this to reason about review-stage strategy. Reopen the current CFP, OpenReview group,
Use this to reason about review-stage strategy. Reopen the current CFP, OpenReview group, author instructions, reviewer instructions if posted, and code of conduct before making process claims.
| Review dimension | What raises it | What sinks it |
|---|---|---|
| Correctness | Complete assumption statements with a main-text proof sketch | Hidden conditions; constants swept into O-notation when they matter |
| Significance | A guarantee the ML literature lacked, or a practical method statistics lacked | Incremental rate gain with no conceptual or practical payoff |
| Empirical support | Experiments engineered to probe the theory | Benchmarks disconnected from the theorem regimes |
| Clarity | Numbered assumptions and a single notation source | Notation collisions between sections |
[Current stage] submitted / reviews / discussion / decision / camera-ready
[Decision actors] <reviewers/meta-reviewer/chairs>
[Likely leverage] <correctness/statistics/experiments/clarity/reproducibility>
[Forbidden moves] <identity leak / external links if forbidden / new unsupported results>
[Next response move] <one action>
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin aistats-skillsAudits an AISTATS paper submission for OpenReview readiness, formatting compliance, double-blind anonymity, and deadline sequencing.
Explains the ICML review process including OpenReview, reviewer/AC behavior, score dimensions, and response strategy for diagnosing decision issues.
Evaluates manuscript fit for the International Conference on Artificial Intelligence and Statistics (AISTATS), providing venue-specific framing, evidence bar, and submission-cycle checks.