Agent skill

En Agrienv Journal Workflow

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when deciding which English agriculture / environment / earth-science journal skill to invoke next, comparing fit across the 30-journal agriculture-and-environment roadmap…

MITAuto-check passedResearch & Science

Install En Agrienv Journal Workflow

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill en-agrienv-journal-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills en-agrienv-journal-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/en-agrienv-journal-workflow .claude/skills/en-agrienv-journal-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
en-agrienv-journal-workflow
GitHub stars
1.2k
Token cost
~2.7k tokens
SKILL.md length
1,053 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding which English agriculture / environment / earth-science journal skill to invoke next, comparing fit across the 30-journal agriculture-and-environment roadmap…

  • Works in 4 steps: Sub-field: crop/agronomy, plant biology,… → Contribution type: a mechanism, a… → Evidence shape: controlled field trial,… → …
  • Deciding which English agriculture / environment / earth-science journal skill to invoke next
  • SKILL.md covers Purpose, Ask four things first, Pre-routing evidence gates and Evidence-shape escalation, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

En Agrienv Journal Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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).

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Deciding which English agriculture / environment / earth-science journal skill to invoke next
  • Comparing fit across the 30-journal agriculture-and-environment roadmap
  • Routing a manuscript before venue-specific re-framing

Example prompts

  • “/en-agrienv-journal-workflow”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Sub-field: crop/agronomy, plant biology, soil science, food science,
  2. Contribution type: a mechanism, a field/management result, a synthesis/review,
  3. Evidence shape: controlled field trial, glasshouse/lab assay, observational or
  4. Audience breadth: broad significance (a Nature Portfolio title), a whole

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

En Agrienv Journal Workflow loads about 2.7k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 1,053 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 1,053 words, ~2,740 tokens.

Download SKILL.mdSave it as .claude/skills/en-agrienv-journal-workflow/SKILL.md (or your agent's skills folder).
name
en-agrienv-journal-workflow
description
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).

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 specialist community?

Pre-routing evidence gates

Before naming a journal, classify the manuscript through these gates. A weak gate does not always mean "do not submit"; it usually means route down to a specialist venue, reframe the claim, or fix the evidence before testing a higher-prestige venue.

GatePass signalIf weak
ContributionA mechanism, management implication, method, projection, or dataset that transfers beyond the study siteReframe as a local case study, technical note, or specialist-field result
Evidence strengthReplicated sites/seasons/systems, transparent uncertainty, and controls matched to the claimDo not route to broad Nature/society flagships; strengthen replication first
Scale matchClaim scale matches the evidence scale: plot, field, landscape, regional, global, or datasetNarrow the title/abstract and select a venue that accepts the actual scale
Data/code readinessData, code, model configuration, and metadata can be deposited or shared under field normsTreat deposition as a blocker for ESSD, earth-system, hydrology, and reuse claims
CompliancePermits, ethics, biosafety, field-site permissions, and competing-interest disclosures are knownPause final routing until the single-journal checklist can verify requirements

Evidence-shape escalation

  • Single site-year field trial: usually specialist agronomy/crop venue; do not pitch as general food-security evidence without multi-site or mechanistic support.
  • Multi-site or multi-season field trial: can support field flagship routing if management implications and uncertainty are explicit.
  • Lab/glasshouse mechanism: plant or soil mechanism venues; needs field or ecological validation before claiming landscape or management impact.
  • Remote sensing / monitoring survey: route by validation and generalizability; benchmark against independent observations and document processing code.
  • Process or earth-system model: route by the model contribution, sensitivity analysis, and reproducibility package, not only by the application region.
  • Dataset/data product: earth-system-science-data only when the dataset itself is the product, has persistent identifiers, rich metadata, and a public archive.

Quick routing

Manuscript signaturePrefer skill
Food-systems advance with broad significancenature-food
Plant-science advance, broad and high-impactnature-plants
Fundamental plant biology / physiology / ecologynew-phytologist / the-plant-journal
Authoritative plant-biology reviewannual-review-of-plant-biology
Crop yield, agronomy, cropping-system field researchfield-crops-research / agronomy-for-sustainable-development
Agroecosystem nutrient/GHG/biodiversity at field-to-landscape scaleagriculture-ecosystems-and-environment
Soil biology, biogeochemistry, soil carbon/microbiomesoil-biology-and-biochemistry
Food chemistry / composition / safetyfood-chemistry
Food-technology trends and synthesistrends-in-food-science-and-technology
Climate-change impacts on ecosystems/biotaglobal-change-biology
Human-exposure environmental healthenvironment-international / environmental-health-perspectives
Sustainability, circular economy, cleaner productionjournal-of-cleaner-production / resources-conservation-and-recycling
Authoritative environment & resources reviewannual-review-of-environment-and-resources
Environmental contamination / ecotoxicologyenvironmental-pollution
Broad earth/environment advance, OAcommunications-earth-and-environment
Climate dynamics / variabilityjournal-of-climate
New, documented public datasetearth-system-science-data
Catchment / surface / groundwater hydrologyjournal-of-hydrology / water-resources-research
Solid-earth, geochemistry, planetary-scale processesearth-and-planetary-science-letters / geology
Carbon/nutrient cycling, biogeochemistryglobal-biogeochemical-cycles
Land–atmosphere flux / agro-meteorologyagricultural-and-forest-meteorology
Forest ecology and managementforest-ecology-and-management
Aquatic / freshwater / ocean ecology and limnologylimnology-and-oceanography
Meteorological-society review / community articlebulletin-of-the-american-meteorological-society
Show full SKILL.md (488 more words)Show less

Sibling-journal disambiguation

Confusable targetsDecision rule
nature-food vs field-crops-researchNature Food wants food-systems significance and transdisciplinary reach; FCR wants a rigorous crop/agronomy field result.
new-phytologist vs the-plant-journalNew Phytologist favors plant ecology/physiology/interactions breadth; The Plant Journal favors molecular/cellular plant biology with mechanism. Re-check current scopes.
journal-of-hydrology vs water-resources-researchWRR (AGU) favors fundamental water-science methodology/theory; Journal of Hydrology spans process, observational, and applied hydrology more broadly.
agriculture-ecosystems-and-environment vs soil-biology-and-biochemistryAEE emphasizes field-to-landscape agroecosystem outcomes; SBB emphasizes soil-process mechanism and soil biota.
global-change-biology vs agriculture-ecosystems-and-environmentGCB needs a global-change framing and biological response; AEE needs an agroecosystem-management framing.
Nature Portfolio (nature-food/nature-plants/communications-earth-and-environment) vs society flagshipsNature titles need broad significance and framing; a complete sub-field result routes to the society/specialist journal.
earth-system-science-data vs an analysis journalESSD is for the dataset itself (documented, publicly deposited with a DOI); the scientific analysis of that data belongs in an analysis journal.
environment-international / environmental-health-perspectives vs pollution journalsHuman-exposure or health-risk inference routes to the health journals; contaminant behavior, remediation, or ecotoxicology routes to the pollution/environmental-process venues.
journal-of-climate vs agricultural-and-forest-meteorologyClimate dynamics and variability route to Journal of Climate; land-atmosphere fluxes, crop/forest microclimate, and agro-meteorological applications route to AFM.
global-biogeochemical-cycles vs global-change-biologyElement cycles, fluxes, and earth-system budgets route to GBC; organismal, ecosystem, or biological responses to global change route to GCB.
resources-conservation-and-recycling vs journal-of-cleaner-productionCircular-material-flow and recycling systems route to RCR; cleaner production, industrial sustainability, and management interventions route to JCP.

Decision rules

  • Name the advance, not the site. "We measured X at our site" is not a contribution unless it yields a generalizable mechanism, management result, projection, or dataset.
  • Field evidence discipline. Field/observational claims need adequate replication, controls, and uncertainty; a single site-year or unreplicated trial is a common reject at the agronomy and ecology venues.
  • Data deposition is a gate, not a nicety. Earth-science and environmental venues increasingly mandate FAIR data/code deposition; data journals (ESSD) require the public dataset itself. Sort this before submission.
  • Review vs. primary. Annual Review titles and the synthesis-leaning venues are largely invited/scoped — do not route an unsolicited primary-data paper there without checking scope.
  • Scale and framing. Plot/lab, field, landscape, regional, and global results route to different venues; match the claim's scale to the journal's audience.
  • Health, policy, and management claims need the right endpoint. Do not route a contaminant-detection paper as environmental health unless exposure/outcome inference is actually measured; do not route a sustainability paper as policy unless a decision, intervention, or system boundary is specified.
  • Always enter the single-journal skill's official-submission checklist before submitting; never rely on a stale template.

Handoff protocol

After routing, hand off only the minimum needed context to the single-journal skill:

  • the strongest claim the evidence can honestly support;
  • the rejected broader claim, if any, and why it was narrowed;
  • the evidence shape and weakest gate from the table above;
  • the one official requirement most likely to block submission;
  • the alternative venue to keep warm if the first-choice fit fails.

Output format

text
[Top journal skill] <skill-name>
[Alt 1] <skill-name> (reason)
[Alt 2] <skill-name> (reason)
[Do not submit to] <journal> (one-line mismatch reason)
[Evidence gates] contribution / evidence-strength / scale / deposition / compliance: pass|watch|block
[Biggest current gap] significance / field-evidence / replication / data-deposition / scale-framing / official requirements
[Claim to narrow] <claim, or none>
[Next step] invoke <skill-name> for single-venue fit and re-framing

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Agriculture-Environment-Journal-Skills/skills/en-agrienv-journal-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about En Agrienv Journal Workflow

What does En Agrienv Journal Workflow do?

A skill your agent uses when deciding which English agriculture / environment / earth-science journal skill to invoke next, comparing fit across the 30-journal agriculture-and-environment roadmap…. En Agrienv Journal Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use En Agrienv Journal Workflow?

En Agrienv Journal Workflow fits situations like: deciding which English agriculture / environment / earth-science journal skill to invoke next; comparing fit across the 30-journal agriculture-and-environment roadmap; routing a manuscript before venue-specific re-framing.

How do I install En Agrienv Journal Workflow in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill en-agrienv-journal-workflow -a claude-code`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/en-agrienv-journal-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/en-agrienv-journal-workflow in your project. Claude Code loads it when a task matches its description.

How do I install En Agrienv Journal Workflow in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill en-agrienv-journal-workflow -a codex`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/en-agrienv-journal-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/en-agrienv-journal-workflow in your project. Codex loads it when a task matches its description.

Can I use En Agrienv Journal Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill en-agrienv-journal-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/en-agrienv-journal-workflow, .gemini/skills/en-agrienv-journal-workflow, .github/skills/en-agrienv-journal-workflow and .opencode/skills/en-agrienv-journal-workflow in your project.

What does En Agrienv Journal Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: En Agrienv Journal Workflow is instructions for the agent only.

Does En Agrienv Journal Workflow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is En Agrienv Journal Workflow safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does En Agrienv Journal Workflow use?

En Agrienv Journal Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does En Agrienv Journal Workflow use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to En Agrienv Journal Workflow?

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Who maintains En Agrienv Journal Workflow?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.