ecai-skills

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

Skills (12)

• ecai-artifact-evaluation

  Use when planning the reproducibility/artifact story for an ECAI paper — noting that ECAI/FAIA has NO ACM/IEEE-style artifact-badging committee, so credibility is carried by the paper and its supplement and judged by the same reviewers, and adapting an ML-style reproducibility package (or a complete

• ecai-author-response

  Use when writing the ECAI author response (rebuttal) — the single, short, double-blind reply during the response window (IJCAI-ECAI 2026: 7-10 April 2026) that must correct factual misreadings and supply asked-for evidence within a strict length limit, knowing there is no second round and the area c

• ecai-camera-ready

  Use when preparing the ECAI camera-ready — de-anonymizing, fitting the final version into the page budget, and meeting the publisher's production requirements, which differ by regime: IOS Press FAIA (ecai.cls, open-access book volume, copyright/consent-to-publish forms) for a standalone ECAI, versus

• ecai-experiments

  Use when designing or auditing the evidence in an ECAI paper — choosing proof versus experiment by claim shape across ECAI's breadth (theory/KR, planning/search, ML, multi-agent, applied), fair baselines, seeds and spread, honest ablations, and provenance, all supporting a claim inside a 7-page body

• ecai-related-work

  Use when writing the ECAI related-work section — covering the relevant general-AI lanes (symbolic, learning, multi-agent, application) for a broad reviewer pool, writing delta-first positioning, keeping self-citations double-blind, and doing it within a tight reference budget (1 page standalone / 2

• ecai-reproducibility

  Use when building the reproducibility story for an ECAI paper — a complete proof appendix for theory/KR work, a seeded and cached package for empirical/ML work, provenance pinning for datasets and models, and an anonymized supplement that satisfies double-blind review inside ECAI's tight 7-page body

• ecai-review-process

  Use when reasoning about how an ECAI submission is evaluated — double-blind review, the summary-reject first phase, area chairs / senior PC, the single author-response (rebuttal) window, an accept/reject decision (no journal-style major-revision round), and how ECAI's process and its joint IJCAI-ECA

• ecai-submission

  Use when auditing an ECAI submission for readiness — the abstract-then-full-paper two-deadline flow, the tight 7-page body budget, double-blind anonymity, the correct template/publisher regime (ecai.cls/FAIA for a standalone ECAI vs ijcai.sty/IJCAI proceedings for the joint IJCAI-ECAI 2026), the per

• ecai-supplementary

  Use when deciding what goes in the ECAI 7-page body versus the anonymized supplement — splitting content by decision-criticality so nothing a reviewer needs to judge the paper lives outside the tight body, given there is no unlimited in-paper appendix and no separate artifact track.

• ecai-topic-selection

  Use before writing to decide whether a project belongs at ECAI versus IJCAI, AAAI, AAMAS, KR, or a pure-ML venue, and whether it should go to the ECAI main track or the co-located PAIS applications track — using contribution shape, the model-swap test, the European/general-AI fit, and the calendar (

• ecai-workflow

  Use to plan an ECAI campaign end to end — run the single-round year backward from the paper deadline through the abstract/registration step, summary-reject phase, rebuttal window, notification, and the open-access camera-ready, adapting to whether the edition is a standalone ECAI (FAIA/PAIS) or the

• ecai-writing-style

  Use when writing or tightening an ECAI paper body — leading with a general-AI contribution on the first page, matching evidence to claim (a theorem and construction, or a fair empirical comparison), and doing it inside a 7-page body where every paragraph must earn its space.

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