neurips-skills

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

Skills (12)

• neurips-artifact-evaluation

  Use when packaging NeurIPS code, data, models, demos, benchmarks, or other research artifacts for anonymous review, reproducibility, public release, or MLRC-style artifact scrutiny.

• neurips-author-response

  Use when drafting or triaging NeurIPS OpenReview author responses, rebuttals, and discussion-period replies under the current year's response mechanics and double-blind constraints.

• neurips-camera-ready

  Use when preparing accepted NeurIPS papers for camera-ready upload, de-anonymization, final checklist, code/data release, OpenReview metadata, and post-acceptance obligations.

• neurips-experiments

  Use when stress-testing NeurIPS experimental evidence, including baselines, ablations, data splits, compute, negative results, real-world use, and claim-to-evidence calibration.

• neurips-related-work

  Use when positioning a NeurIPS submission against current-cycle ML literature, contemporaneous work, preprints, neighboring conferences, and the exact technical delta from prior methods.

• neurips-reproducibility

  Use when strengthening NeurIPS reproducibility evidence, aligning Paper Checklist answers with the paper, writing code/data instructions, setting random-seed and compute disclosure, or deciding whether the MLRC/TMLR reproducibility route fits better than the main track or Datasets & Benchmarks track

• neurips-review-process

  Use when explaining or diagnosing the NeurIPS main-track review process, including OpenReview, reviewer and AC roles, contribution-type review, ethics flags, reciprocal reviewing, discussion, and LLM-review policy.

• neurips-submission

  Use when auditing a NeurIPS main-track submission for current-cycle CFP, OpenReview, formatting, anonymity, track, contribution-type, checklist, code/data, dual-submission, and LLM/agent policy compliance.

• neurips-supplementary

  Use when deciding what NeurIPS material belongs in the main PDF body, the references, text appendices, the mandatory Paper Checklist, the separate code/data ZIP, or an external public artifact, and how to keep every supplemental component anonymous under double-blind review.

• neurips-topic-selection

  Use when deciding whether a paper belongs at NeurIPS, choosing main-track versus another NeurIPS track, selecting contribution type, or rerouting to a better AI/ML venue.

• neurips-workflow

  Use when planning and sequencing a full NeurIPS manuscript workflow from topic and track selection through writing, the mandatory Paper Checklist, OpenReview submission, double-blind review, author response, decision, camera-ready, artifact release, and rerouting to the Datasets & Benchmarks track,

• neurips-writing-style

  Use when rewriting a machine-learning paper for NeurIPS-style contribution framing, calibrated claims, contribution-type alignment, limitations, broader-impact prose, and language that pre-fills the mandatory NeurIPS Paper Checklist, for either the main track or the Datasets & Benchmarks track.

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