icml-skills

Plugin icml-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• icml-artifact-evaluation

  Use when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for both the double-blind review package and the public release that accompanies accepted PMLR papers. Use when checking anonymi

• icml-author-response

  Use when drafting ICML rebuttals and reviewer-author discussion replies under OpenReview double-blind constraints, where authors respond after initial reviews, reviewers may then have one additional discussion round, no revised paper can be uploaded during the period, and responses must stay anonymo

• icml-camera-ready

  Use when preparing accepted ICML papers for camera-ready upload, PMLR agreement, public OpenReview record, lay summary, conflict disclosure, registration/presentation choices, format checker, and post-conference revision.

• icml-experiments

  Use when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating ablations, seed variance and confidence intervals, compute disclosure, data leakage and split construction, reproducibility, negative results, and fit to ICML sound

• icml-related-work

  Use when positioning an ICML submission against close ML literature, concurrent ICML submissions, recent public papers, workshop papers, ICLR/AISTATS/NeurIPS neighbors, and prior work under double-blind constraints.

• icml-reproducibility

  Use when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix evidence, impact-statement support, and reviewer-facing reproducibility claims.

• icml-review-process

  Use when explaining or diagnosing the ICML review process, including OpenReview, reciprocal reviewing, reviewer/AC behavior, review dimensions, author response, one-round discussion, LLM-review policy, ethics flags, and public review records.

• icml-submission

  Use when auditing an ICML main-track submission for OpenReview, LaTeX formatting, 8-page body, anonymity, supplementary material, impact statement, dual submission, concurrent ICML submissions, reciprocal reviewing, and LLM/prompt-injection policy compliance.

• icml-supplementary

  Use when deciding what ICML material belongs in the main 8-page body, same-PDF appendices, supplementary manuscript, code/data supplement, anonymous concurrent-submission PDF, or public camera-ready artifact.

• icml-topic-selection

  Use when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT, MLSys, TMLR, JMLR), or rerouting an ML paper based on its contribution type, strength of evidence, theory-versus-empirical bal

• icml-workflow

  Use when planning or sequencing an ICML manuscript workflow end to end - from topic selection and drafting through OpenReview submission, double-blind review, author response, camera-ready, PMLR publication, public original-submission release, and rerouting decisions. Use when you need the next ICML

• icml-writing-style

  Use when rewriting a machine-learning paper for ICML-style claims, 8-page clarity, soundness/originality/significance framing, impact statement, lay-summary readiness, and reviewer-updateable rebuttal posture.

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