aamas-review-process
Use when explaining or planning around AAMAS peer review, covering OpenReview review release, the double-blind rebuttal on preliminary reviews, area-chair discussion, the mixed game-theory, MARL, and systems reviewer pool, the public posting of reviews and decisions, and how acceptance criteria weigh the interaction contribution.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-review-process --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.
# AAMAS Review Process Use this to reason about review-stage strategy. Reopen the current CFP, OpenReview group, author and reviewer instructions, and the code of conduct before making process claims; AAMAS review specifics move between editions. ## Process model - AAMAS runs submission and review on OpenReview under the IFAAMAS namespace in recent cycles. - Reviewers evaluate technical correctness, the significance of the interaction contribution, the reality and rigor of the multiagent evaluation, clarity, reproducibility, and fit with agents-and-multiagent-systems scope. - A rebuttal lets authors respond to preliminary reviews before the final decision; area chairs then synthesize. - Accepted papers and their reviews are published, so the review record is durable and public. - The most useful rebuttal gives the area chair a clean rationale for acceptance, not a point-by-point defense of every comment. ## Who reviews here - The pool mixes game theorists, multiagent-RL researchers, mechanism-design and social-choice specialists, and systems-minded reviewers; expect at least one to read the game definition and solution concept line by line. - Because AAMAS is specialized, a paper i
- Process model
- Who reviews here
- Scoring leverage table
- Stage-by-stage realism
- Output format
What does the aamas-review-process skill do?
Use when explaining or planning around AAMAS peer review, covering OpenReview review release, the double-blind rebuttal on preliminary reviews, area-chair discussion, the mixed game-theory, MARL, and systems reviewer pool, the public posting of reviews and decisions, and how acceptance criteria weigh the interaction contribution.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-review-process --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.