Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use as the entry point for any Agricultural Systems (AgSy) manuscript. Routes to the right AgSy sub-skill based on where you are in the lifecycle and which article type (research paper, short communication, perspective, comment, review) fits. AgSy is a systems-science journal, so the router's first job is to confirm there is a real systems question — interactions, hierarchical levels, trade-offs — not a single-factor field trial. It dispatches; it does not draft content.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The orchestrator for an Agricultural Systems submission. Figure out the stage and the article type, then send the user to the matching skill. AgSy is defined by interactions across components and hierarchical levels (field → farm → landscape → region → food system) — the router's first job is to make sure the paper poses a genuine systems question, analyzed with modelling and trade-offs, not a single-factor agronomic trial.
agsy-revision-and-rebuttal)| Situation | Article type | Route to |
|---|---|---|
| Full systems study (interactions, modelling, trade-offs) | Research paper (~8,000 words) | normal pipeline below |
| One focused systems result | Short communication (~4,000 words) | normal pipeline, tighter scope |
| Forward-looking opinion on agricultural-systems science | Perspective (~2,000 words, rapid review) | agsy-writing-style + agsy-impact-and-implications |
| Short response to a published AgSy paper | Comment (~1,000 words) | agsy-literature-positioning + agsy-writing-style |
| Integrative synthesis of a systems literature | Review (consult editors first where required) | agsy-literature-positioning + agsy-systems-framing-and-modeling |
If the work is really a single-treatment field trial with no interactions, trade-offs, or model, it is off-fit — reframe it as a systems question or send it to a field-crops/agronomy journal.
Is it a real systems question? → agsy-topic-selection
Where does it sit in the field? → agsy-literature-positioning
System boundaries + the model? → agsy-systems-framing-and-modeling
Is the model evaluated soundly? → agsy-data-and-model-evaluation
Do exhibits show interactions? → agsy-figures-and-tables
Does it read clearly? → agsy-writing-style
Why does the result matter? → agsy-impact-and-implications
Data + code + models shareable? → agsy-reproducibility-and-data-policy
How will it be judged? → agsy-review-process
Ready to submit? → agsy-submission
Got reviews / a decision? → agsy-revision-and-rebuttal
topic-selection → literature-positioning → systems-framing-and-modeling → data-and-model-evaluation → figures-and-tables → writing-style → impact-and-implications → reproducibility-and-data-policy → review-process → submission → revision-and-rebuttal
Iterate: most systems papers loop framing ↔ modelling ↔ evaluation several times before writing-style.
A user arrives mid-project: "I have a calibrated whole-farm model and scenario runs, but a colleague says it 'reads like an agronomy paper.'" The router diagnoses and dispatches:
agsy-systems-framing-and-modeling to make the boundary, interaction, and the
"interaction or it isn't AgSy" test explicit.agsy-literature-positioning to engage the modelling literature, then
agsy-data-and-model-evaluation to confirm the held-out evaluation and trade-off exhibit exist.Run this as a concrete capability pass. First lock the system boundary, actor decision, model/data linkage, and sustainability or food-security tradeoff; then test whether the manuscript addresses agricultural-systems reviewers who expect crop, farm, value-chain, environment, and policy components to be connected rather than listed.
claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.【Stage】idea / positioning / framing / evaluation / exhibits / writing / impact / repro / review / submit / revise
【Article type】Research paper / Short communication / Perspective / Comment / Review
【Systems question?】real interactions/trade-offs? [Y/N]
【Route to】agsy-<skill>
【Why】one line
【Then】the next skill after that
../../resources/external_tools.md — systems models + calibration/uncertainty software by scale../../resources/official-source-map.md — official AgSy URLs behind every fact in this pack아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.