Agent Skillsbrycewang-stanford/Awesome-Journal-Skills › european-conference-on-artificial-intelligence

european-conference-on-artificial-intelligence

GitHub

用于评估论文是否符合欧洲人工智能会议(ECAI)的投稿要求,提供选题匹配、叙事重构、证据缺口诊断及拒稿风险评估,辅助作者将稿件调整为适合该区域性旗舰会议的格式与策略。

Computer-Science-Conference-Skills/skills/european-conference-on-artificial-intelligence/SKILL.md brycewang-stanford/Awesome-Journal-Skills

Trigger Scenarios

作者指定ECAI为目标投稿 venue 需对欧洲AI领域手稿进行会前适配性评估 需要将期刊或arXiv风格稿件重构为CS会议叙事 需要针对ECAI进行证据缺口、匿名化、反证或改投诊断

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill european-conference-on-artificial-intelligence -g -y
More Options

Non-standard path

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Computer-Science-Conference-Skills/skills/european-conference-on-artificial-intelligence -g -y

Use without installing

npx skills use brycewang-stanford/Awesome-Journal-Skills@european-conference-on-artificial-intelligence

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill european-conference-on-artificial-intelligence -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "european-conference-on-artificial-intelligence",
    "description": "Use when targeting European Conference on Artificial Intelligence (ECAI) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI\/ML regional flagship."
}

European Conference on Artificial Intelligence (ECAI)

Conference positioning

European Conference on Artificial Intelligence (ECAI) is a top computer-science conference venue for broad European AI research across reasoning, learning, agents, planning, and applications. It rewards a general AI paper positioned for cross-area European AI readership. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

  • The author names ECAI / European Conference on Artificial Intelligence as the target venue.
  • A manuscript in broad European AI research across reasoning needs a conference-fit read before being formatted or submitted.
  • The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
  • The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

  • Core fit: broad European AI research across reasoning, learning, agents, planning, and applications.
  • Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
  • The paper should explain why the result matters to ECAI's reviewers, not just why it is interesting to the authors' lab or product context.
  • Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
  • If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

  • Reviewer lens: Treat ECAI as the European broad-AI venue with EurAI community orientation. It is appropriate for general AI work across reasoning, agents, planning, knowledge, and learning, especially when the European AI audience and cross-area conversation are natural.
  • Contribution hook to foreground: the venue-specific contribution bar.
  • Scope vocabulary to use naturally in the abstract and introduction: broad European AI research across reasoning, learning, agents, planning, and applications.
  • Distinctive fingerprint for reviewer calibration: broad, european, across, reasoning, learning, agents, planning, applications, venue-specific, contribution, regional, flagship, ecai2026.
  • Official anchor domain: ecai2026.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

  • Use this profile only when the manuscript's central contribution is genuinely in AI/ML regional flagship and the author can say why ECAI reviewers are the primary audience, not merely a convenient deadline.
  • Closest roster neighbors to compare before final routing: aaai-acm-conference-on-ai-ethics- and-society (AIES), acm-conference-on-fairness-accountability-and-transparency (FAccT), medical-image-computing-and-computer-assisted-intervention (MICCAI), conference-on- computational-natural-language-learning (CoNLL). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from ecai2026.org.

What distinguishes this venue from its closest siblings

  • What ECAI is. The European Conference on AI (EurAI) — the European generalist AI conference.
  • vs AAAI / IJCAI. AAAI is North-American and IJCAI global; ECAI is the European counterpart of the same broad-AI scope — route by region and cycle.
  • Routing. Method-specific results fit NeurIPS/ICML/CVPR/ACL; ECAI rewards general-AI contributions framed for a European audience.

Method & evidence bar

  • Compare against current strong baselines and explain exactly what changes in the algorithm, objective, data, or inference procedure.
  • Report ablations that isolate the claimed mechanism; do not rely on aggregate benchmark wins alone.
  • Document data, compute, hyperparameters, model selection, and failure cases so the result can be reviewed as science rather than demo output.
  • For ECAI, the evidence must support the venue-specific signature: a general AI paper positioned for cross-area European AI readership.
  • Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

  • Frame the contribution as a reusable idea: method, theory, benchmark, dataset, system, or socio-technical finding.
  • Separate main claims from exploratory results; reviewers at top AI venues punish overclaiming and hidden cherry-picking.
  • Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
  • The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
  • Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

  • Open the live official venue page: https://ecai2026.org/
  • Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
  • Confirm the review workflow and portal: OpenReview / CMT / HotCRP / PCS / START or society portal, as specified for the current cycle.
  • Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence states why this manuscript belongs at ECAI, using the venue's scope rather than generic "top conference" language.
  • The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
  • Related work includes the nearest current-cycle AI/ML regional flagship papers and explains the technical delta.
  • The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
  • The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

  • Leaderboard-only novelty with weak explanation of why the method works.
  • Unclear data contamination, missing baselines, or evaluation that cannot be reproduced.
  • Claims about safety, fairness, health, or society without matching evidence and limitations.
  • Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
  • A contribution framed for a neighboring field while giving ECAI reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses ECAI's bar, compare against neural-information-processing-systems / international-conference-on-machine-learning / international-conference-on-learning-representations / aaai-conference-on-artificial-intelligence. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] European Conference on Artificial Intelligence (ECAI)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>

Version History

  • 1839142 Current 2026-07-05 12:42

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