Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Field Crops Research Skills
<p align="center"> <img src="assets/cover.svg" alt="Field Crops Research cover" width="220"> </p>
English | 简体中文
Agent skill stack for manuscripts targeted at Field Crops Research (FCR) — a leading international agronomy and crop-science journal published by Elsevier (ISSN 0378-4290). FCR publishes experimental and modelling research on crop ecology, crop physiology, agronomy, and crop improvement of field crops grown for food, fibre, feed, and biofuel, at the crop, field, farm, and landscape levels. The inclusion of yield data is encouraged to show how field experiments illuminate the biophysical processes behind crop growth, development, and yield formation.
This repository is opinionated. It is not a generic life-sciences writing toolbox and it is not a controlled-environment plant-biology pack repurposed for the field. It is an FCR-specific stack built around the journal's defining demand: genuine field-based agronomy with multi-season and/or multi-environment relevance, a novel contribution of general significance, sound multi-environment experimental design, appropriate mixed-model statistics, and full agronomic reporting with a data-availability statement at submission.
What Is FCR, and Why a Dedicated Stack?
FCR's constraints differ from a general plant-science or a controlled-environment journal:
| Constraint | Field Crops Research | Implication |
|---|---|---|
| Scope | Field crops: crop ecology, physiology, agronomy, crop improvement | Tie the work to field-grown crops and their yield processes |
| Environment | Field-based, multi-season / multi-environment | Controlled-environment-only work is out of scope |
| Multi-environment rule | Field experiments span ≥ 2 seasons and/or multiple environments | A single-site, single-season trial usually fails the gate |
| Premium on | New scientific insight of general relevance + yield/biophysical link | Corroborative, descriptive, or local-only work is rejected |
| Species | Field crops for food/fibre/feed/biofuel | Horticultural, woody-perennial, non-cultivated species off-fit |
| Publisher / portal | Elsevier / Editorial Manager | Not OUP/Cambridge; submitted via Editorial Manager |
| Review model | Single anonymized, typically ≥ 2 reviewers | Authors are not anonymized; expect expert agronomy review |
| Statistics | Appropriate to the design (mixed models, G×E) | One-way ANOVA on pooled plots will not pass methods review |
| Abstract / highlights | Abstract ≤ 400 words; 3–5 highlights of ≤ 85 characters | Build them early; highlights are findings, not topics |
| Data policy | State data availability at submission; declare generative-AI use | Draft the statement before you upload |
Use resources/official-source-map.md for the official source trail behind these claims. Final upload-week checks still belong on the live ScienceDirect / Elsevier pages because editor names, prices, file prompts, and article-type menus can change.
The scope boundary (read this first)
FCR explicitly does not consider:
- Studies conducted exclusively under controlled conditions — greenhouse, pots, or any system that constricts root growth.
- One-year, single-location/-environment field studies (the expectation is ≥ 2 seasons and/or multiple environments).
- Work that is corroborative, descriptive, or of only local significance.
- Horticultural (vegetable/fruit), woody-perennial, medicinal, and non-cultivated species, and natural grasslands.
If your project is on the wrong side of any of these, fix the framing or design before you invest (see fcr-topic-selection).
Quick Start
Option A — Claude Code Plugin (recommended)
/plugin marketplace add https://github.com/brycewang-stanford/awesome-journal-skills
/plugin install fcr-skills
/reload-pluginsOption B — Manual Copy
git clone https://github.com/brycewang-stanford/awesome-journal-skills.git
cd awesome-journal-skills/Field-Crops-Research-Skills
mkdir -p ~/.claude/skills && cp -R skills/fcr-* ~/.claude/skills/
# or
mkdir -p ~/.codex/skills && cp -R skills/fcr-* ~/.codex/skills/First Prompt
Use fcr-workflow to tell me which skill I should use next for my Field Crops Research manuscript.Default Workflow
fcr-topic-selection (scope gate first)
▼
fcr-literature-positioning
▼
fcr-experimental-design
▼
fcr-data-analysis
▼
fcr-figures-and-tables
▼
fcr-reporting-and-data-policy
▼
fcr-writing-style (polish)
▼
fcr-cover-letter
▼
fcr-review-process
▼
fcr-submission
▼
fcr-revision-and-rebuttalfcr-workflow is the router — it runs the scope gate (field-based? multi-environment? a field crop? more than local?) and then tells you which skill to use next based on where you are. If the scope gate fails, it sends you back to fcr-topic-selection or fcr-experimental-design before you write anything.
Skills
| Skill | Purpose |
|---|---|
fcr-workflow | Router — scope gate + decides which sub-skill to invoke next |
fcr-topic-selection | Scope fit (field-based, multi-environment, field crop, general); article type |
fcr-literature-positioning | Stake a general contribution; avoid the "local/descriptive" rejection |
fcr-experimental-design | Multi-environment design — randomization, replication, blocking, G×E, models |
fcr-data-analysis | Mixed models, G×E/stability, adjusted means + SED/LSD, model evaluation |
fcr-figures-and-tables | Self-contained exhibits with units and error; response curves and biplots |
fcr-reporting-and-data-policy | Agronomic reporting completeness; data-availability statement; AI disclosure |
fcr-writing-style | Concise results + interpretive discussion; abstract ≤400 words; highlights |
fcr-cover-letter | Editor-facing letter establishing scope fit and the novel contribution |
fcr-review-process | Single-anonymized review, scope-based desk screening, decision categories |
fcr-submission | Editorial Manager preflight (scope, format, reporting, declarations) |
fcr-revision-and-rebuttal | Response-letter strategy for major/minor revisions across reviewers + editor |
Resources
resources/external_tools.md— agronomy data sources (GYGA / FAOSTAT / WorldClim / NASA POWER / SoilGrids) + design, mixed-model, G×E, and crop-model software (agricolae / asreml / metan / APSIM / DSSAT / STICS)resources/official-source-map.md— official Elsevier / FCR URLs behind every journal-specific fact and upload-week live-check boundary
What This Repo Does Not Do
- It does not write a submittable manuscript for you
- It does not simulate any specific editor's or reviewer's taste
- It does not freeze upload-week metadata such as editor names, prices, file prompts, or article-type menu changes; check the official page before submission
- It does not decide whether your study is genuinely field-based and of general significance — that is the researcher's call
Related
- awesome-journal-skills — Index of journal-specific skill packs
- Field Crops Research (ScienceDirect) — publisher home, aims & scope
- FCR Guide for Authors — submission, article types, policies
License
MIT