claude

ijcai-skills

Twelve IJCAI-specific skills for AI conference submission strategy, grounded in official IJCAI-ECAI 2026 CFP, submissions FAQ, author response FAQ, reproducibility guidelines, author kit, important dates, peer-review principles, and conflict policy.

1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
/

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

What it installs

Skills (12)

  • ijcai-artifact-evaluation

    Use when packaging IJCAI or IJCAI-ECAI code, data, proofs, models, and appendices as reproducibility evidence or supplementary material, especially when there is no separate artifact-evaluation badge but reviewers need convincing, anonymous, deadline-safe evidence.

  • ijcai-author-response

    Use when drafting IJCAI or IJCAI-ECAI author responses under the official one-page template, concise-response guidance, no-new-results constraints, code-link restrictions, factual-error triage, pressing-question triage, and confidential unethical-review channel.

  • ijcai-camera-ready

    Use when preparing an accepted IJCAI or IJCAI-ECAI paper for camera-ready submission, author de-anonymization, author-order checks, copyright and proceedings metadata, final formatting, source/package readiness, in-person presentation obligations, and artifact release timing.

  • ijcai-experiments

    Use when designing or auditing IJCAI or IJCAI-ECAI experiments, baselines, ablations, statistical evidence, hyperparameter reporting, compute descriptions, dataset handling, ethics risks, and reproducibility evidence for AI papers.

  • ijcai-related-work

    Use when positioning an IJCAI or IJCAI-ECAI submission against archival AI literature, arXiv preprints, workshop papers, prior rejected versions, dual-submission rules, shortened prior versions, and resubmission-information requirements.

  • ijcai-reproducibility

    Use when strengthening IJCAI or IJCAI-ECAI reproducibility evidence for theory, algorithms, datasets, and computational experiments under the official convincing/credible/irreproducible reviewer rubric and optional reproducibility-section guidance.

  • ijcai-review-process

    Use when explaining or planning around IJCAI or IJCAI-ECAI two-phase review, summary rejection, PC/SPC/AC/SAC roles, author response visibility, reviewer confidentiality, conflict-of-interest policy, ethics checks, and decision dynamics.

  • ijcai-submission

    Use when auditing an IJCAI or IJCAI-ECAI main-track submission for Chairing Tool readiness, abstract and author-information deadlines, page limits, double-blind anonymity, supplementary files, reproducibility, resubmission information, author limits, dual-submission policy, and LLM-use policy.

  • ijcai-supplementary

    Use when preparing IJCAI or IJCAI-ECAI supplementary material, technical appendices, ZIP files, proofs, derivations, data, source code, and resubmission files under deadline, format, size, anonymity, and reviewer-discretion constraints.

  • ijcai-topic-selection

    Use when deciding whether an AI project is a strong IJCAI or IJCAI-ECAI fit, comparing main track versus special tracks, Survey Track, AIJ/JAIR expedited-publication potential, or alternative AI venues such as NeurIPS, ICML, ICLR, AAAI, AISTATS, UAI, COLT, KDD, CVPR, ACL, or ICRA.

  • ijcai-workflow

    Use when planning an IJCAI or IJCAI-ECAI project timeline from venue fit through abstract registration, full-paper upload, author information, PPI payment, summary-reject risk, author response, notification, camera-ready, in-person presentation, and artifact release.

  • ijcai-writing-style

    Use when revising an IJCAI or IJCAI-ECAI paper for broad AI significance, 7-page-body compression, self-contained exposition, double-blind wording, optional ethics discussion, reproducibility clarity, and policy-safe use of LLM editing.

View source on GitHub copaper.ai

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