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Agent skill stack for manuscripts targeted at Agricultural Systems (AgSy) — an international journal for the systems analysis of agricultural systems, published by Elsevier (ISSN 0308-521X print / 1873-2267 online). Agricultural Systems is, by its own definition, a journal about interactions: among the components of agricultural systems, among hierarchical levels (field → farm → landscape → region → food system), between agricultural and other land-use systems, and between agricultural systems and their natural, social, and economic environments.
This repository is opinionated. It is not a generic agronomy writing toolbox and it is not a field-trial pack repurposed for systems work. It is an AgSy-specific stack centered on what makes the journal distinctive: a genuine systems question (interactions, trade-offs, emergent behavior), a model described, calibrated, and evaluated with honest uncertainty, whole-farm to food-system boundaries, and a clear link to a decision — design, management, or policy. A single-factor field trial, however clean, is off-fit here unless it is embedded in a systems analysis.
AgSy's constraints differ from a field-trial agronomy journal or a generic methods journal:
| Constraint | Agricultural Systems | Implication |
|---|---|---|
| Core object | Interactions across components and hierarchical levels | A single-factor result is off-fit unless embedded in a system |
| Premium on | Whole-farm / landscape / food-system scope + integrated modelling | Pure plot-level agronomy belongs in a field-crops journal |
| Methods | Conceptual + empirical + dynamic / bio-economic modelling, trade-off analysis | Describe, calibrate, and evaluate the model; report uncertainty |
| Publisher | Elsevier (ISSN 0308-521X print / 1873-2267 online) | Use the current Submit your article / Editorial Manager path |
| Review model | Single anonymized; minimum two reviewers; editor decides | Author identity is visible; argue to expert systems reviewers |
| Length | Research paper ~8,000 words (short comm. ~4,000; perspective ~2,000; comment ~1,000) | No hard cap, but stay near the guideline |
| Abstract / front | Abstract ≤ 250 words + Highlights + graphical abstract | Prepare all three at submission |
| Declarations | CRediT roles + declaration of competing interest + funding / AI disclosures | Add them up front |
| Data / code / models | Deposit, cite, and link research data or explain why sharing is not possible | Elsevier treats code and models as research data — build it as you go |
The current source map was refreshed from live ScienceDirect / Elsevier pages on 2026-06-20. Volatile specifics still need a final live check before a real upload, especially editors, APC, submission-system URL, graphical-abstract specs, and article-type consultation rules.
- Research paper — the main format; full systems study, ~8,000 words recommended (no hard cap).
- Short communication — a focused contribution, ~4,000 words.
- Perspective — a forward-looking opinion piece, ~2,000 words, under rapid review.
- Comment — a short response to published work, ~1,000 words.
- Review article — usually method-application focused rather than descriptive synthesis; consult the editors first where the guide requires pre-submission advice.
/plugin marketplace add https://github.com/brycewang-stanford/agsy-skills
/plugin install agsy-skills
/reload-pluginsgit clone https://github.com/brycewang-stanford/agsy-skills.git
cd agsy-skills
mkdir -p ~/.claude/skills && cp -R skills/agsy-* ~/.claude/skills/
# or
mkdir -p ~/.codex/skills && cp -R skills/agsy-* ~/.codex/skills/Use agsy-workflow to tell me which skill I should use next for my Agricultural Systems manuscript.
agsy-topic-selection
▼
agsy-literature-positioning
▼
agsy-systems-framing-and-modeling
▼
agsy-data-and-model-evaluation
▼
agsy-figures-and-tables
▼
agsy-writing-style (polish)
▼
agsy-impact-and-implications
▼
agsy-reproducibility-and-data-policy
▼
agsy-review-process
▼
agsy-submission
▼
agsy-revision-and-rebuttal
agsy-workflow is the router — it tells you which skill to use next based on where you are. Most
systems papers loop framing ↔ modelling ↔ evaluation several times before writing, and the
impact / decision-relevance step is what separates an AgSy paper from a methods demo. If your model
is the contribution, spend most of your time in agsy-systems-framing-and-modeling and
agsy-data-and-model-evaluation.
| Skill | Purpose |
|---|---|
agsy-workflow |
Router — decides which sub-skill to invoke next |
agsy-topic-selection |
Is this a real systems question? Pick scope, scale, and article type |
agsy-literature-positioning |
Position across systems / modelling / food-system literatures, not one subfield |
agsy-systems-framing-and-modeling |
System boundaries, components, feedbacks; model choice, description, calibration |
agsy-data-and-model-evaluation |
Evaluation metrics, sensitivity, uncertainty, trade-off and scenario analysis |
agsy-figures-and-tables |
Exhibits for interactions, dynamics, trade-offs, and observed-vs-simulated fit |
agsy-reproducibility-and-data-policy |
Deposit data, code, and models; model-description standards; exemptions |
agsy-writing-style |
Clear scientific prose; abstract ≤ 250, Highlights, graphical abstract |
agsy-impact-and-implications |
Decision / management / policy relevance — why the systems result matters |
agsy-review-process |
Single-anonymized review, desk screening, reviewer expectations, decision types |
agsy-submission |
Editorial Manager preflight (article type, abstract, declarations, data, files) |
agsy-revision-and-rebuttal |
Response-letter strategy for multiple reviewers + editor |
resources/external_tools.md— systems models (APSIM / DSSAT / STICS / DNDC), whole-farm & bio-economic models, ABM / integrated-assessment tools, calibration / sensitivity / uncertainty packages, and food-system data sources (FAOSTAT / GYGA / FADN)resources/official-source-map.md— official Elsevier / ScienceDirect URLs behind every journal fact used by this pack
- It does not write a submittable manuscript for you
- It does not build, calibrate, or run your simulation model — it tells you what reviewers expect of it
- It does not turn a single-factor field trial into a systems paper; the systems question must be real
- It does not freeze volatile metadata (current editors, fees, URLs, or rule wording) — live-check the official page before a real upload
- It does not decide whether your question is a genuine systems question — that is the researcher's call
- awesome-journal-skills — Index of journal-specific skill packs
- Agricultural Systems (ScienceDirect) — publisher home
- Agricultural Systems — Guide for Authors — article types, abstract, declarations, data policy
MIT