Agent skill · Data & Analytics

field-crops-research

Use when targeting Field Crops Research or deciding whether an agronomy / crop-physiology manuscript fits this venue. Encodes the journal's fit, the field-scale multi-environment and replication bar, data-reporting expectations, house style, official-submission re-check, and desk-reject heuristics.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: Agriculture-Environment-Journal-Skills/skills/field-crops-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Field Crops Research (field-crops-research) ## Journal positioning Field Crops Research, published by Elsevier, is an agronomy and crop-physiology journal centred on **field-scale crop performance**: yield and its determinants, resource-use efficiency (water, nitrogen, radiation), cropping systems, crop modeling, and management across environments. Its defining expectation is **rigorous, adequately replicated field experimentation that generalizes across environments** — multi-site and/or multi-season evidence, or modeling validated against field data. A single site-year, unreplicated trial, or a pot/glasshouse study generalized to the field without field validation is a poor fit. This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current author guidelines. Before submitting, re-check the live Field Crops Research author guidance. ## When to trigger - The author names Field Crops Research and wants a fit/framing check for a field-agronomy or crop-physiology paper. - A management, genotype, or resource-efficiency result must be framed for generalizability across environments rather than as a one-off trial. - The author is choosing betwee

What's inside
Steps it walks through
  1. Journal positioning
  2. When to trigger
  3. Scope & topic fit
  4. Method & evidence bar
  5. Structure & house style
  6. Official-submission checklist
  7. Pre-submission self-check
  8. Common desk-reject triggers
  9. Re-routing decision
  10. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the field-crops-research skill do?

Use when targeting Field Crops Research or deciding whether an agronomy / crop-physiology manuscript fits this venue. Encodes the journal's fit, the field-scale multi-environment and replication bar, data-reporting expectations, house style, official-submission re-check, and desk-reject heuristics.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going