Agent skill · Data & Analytics

en-agrienv-journal-workflow

Use when deciding which English agriculture / environment / earth-science journal skill to invoke next, comparing fit across the 30-journal agriculture-and-environment roadmap, or routing a manuscript before venue-specific re-framing. Routes by sub-field (agronomy / plant / soil / food / environment / earth / climate), contribution type, and evidence shape (field trial / lab assay / observational survey / model / dataset).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill en-agrienv-journal-workflow --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Path: Agriculture-Environment-Journal-Skills/skills/en-agrienv-journal-workflow/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

# Agriculture & environment journal workflow (en-agrienv-journal-workflow) ## Purpose This is the routing skill for the agriculture-and-environment bundle. It does not replace a single-journal profile; it first classifies the manuscript by **sub-field, contribution type, and evidence shape**, then routes into the matching per-journal skill for fit and re-framing. It is a sibling to `en-natsci-journal-workflow` (natural science) and `en-engtech-journal-workflow` (engineering). ## Ask four things first 1. **Sub-field:** crop/agronomy, plant biology, soil science, food science, ecosystem/environmental science, pollution/health, climate/atmosphere, hydrology/water, ocean/limnology, or solid-earth geoscience? 2. **Contribution type:** a mechanism, a field/management result, a synthesis/review, a model or projection, a new dataset/data product, or a methods/measurement advance? 3. **Evidence shape:** controlled field trial, glasshouse/lab assay, observational or monitoring survey, remote sensing, long-term record, process/earth-system model, or a documented public dataset? 4. **Audience breadth:** broad significance (a Nature Portfolio title), a whole sub-field (a society flagship), or a

What's inside
Steps it walks through
  1. Purpose
  2. Ask four things first
  3. Pre-routing evidence gates
  4. Evidence-shape escalation
  5. Quick routing
  6. Sibling-journal disambiguation
  7. Decision rules
  8. Handoff protocol
  9. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the en-agrienv-journal-workflow skill do?

Use when deciding which English agriculture / environment / earth-science journal skill to invoke next, comparing fit across the 30-journal agriculture-and-environment roadmap, or routing a manuscript before venue-specific re-framing. Routes by sub-field (agronomy / plant / soil / food / environment / earth / climate), contribution type, and evidence shape (field trial / lab assay / observational survey / model / dataset).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill en-agrienv-journal-workflow --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