Agent skill

agricultural-and-forest-meteorology

Use when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue. Encodes the journal's fit, the land–atmosphere-process and flux-measurement bar, micrometeorological evidence expectations, Elsevier house style, official-submission re-check, and desk-reject heuristics.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill agricultural-and-forest-meteorology --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/agricultural-and-forest-meteorology/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

# Agricultural and Forest Meteorology (agricultural-and-forest-meteorology) ## Journal positioning Agricultural and Forest Meteorology is Elsevier's outlet for the interaction between agricultural and forest ecosystems and the atmosphere: the land–atmosphere exchange of energy, water, carbon, and trace gases; micrometeorology and boundary-layer processes; eddy-covariance and other flux measurement; phenology; and crop- and forest–climate interactions. Its defining expectation is a **genuine land–atmosphere or biosphere–atmosphere process contribution** — an advance in how vegetated surfaces exchange mass and energy with the atmosphere, or in how that exchange is measured, modeled, or scaled. A pure crop-agronomy study with no atmospheric coupling, or a pure climate-modeling paper with no surface-process component, is a poor fit however competent. This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current author guidance. Before submitting, re-check the live Agricultural and Forest Meteorology author instructions and data policy. ## When to trigger - The author names Agricultural and Forest Meteorology and wants a fit/framing check for a l

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 agricultural-and-forest-meteorology skill do?

Use when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue. Encodes the journal's fit, the land–atmosphere-process and flux-measurement bar, micrometeorological evidence expectations, Elsevier 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 agricultural-and-forest-meteorology --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