paper-review.skill
Review ML and AI papers with evidence-based critiques and verified references.
Review ML and AI papers with evidence-based critiques and verified references.
paper-review.skill guides Claude through a four-stage review of an ML or AI paper: map recent work, test the claimed novelty, write the review, and verify the remaining references. It pushes weaknesses to cite the paper's own evidence and keeps genuine author questions separate from revision requests. It is useful for conference review, pre-submission red teaming, and rebuttal preparation, but is less suited to pure theory, non-English papers, or very narrow fields.
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Public GitHub facts last synced Jul 10, 2026.
Define product problems through six research lenses before proposing solutions.
Review research drafts, plan their structure, and check reported results against data and code.