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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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 packまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。