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A skill your agent uses when targeting Field Crops Research or deciding whether an agronomy / crop-physiology manuscript fits this venue.
Install Field Crops Research
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills field-crops-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/field-crops-research .claude/skills/field-crops-research && rm -rf skills-srcUse ~/.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/
Install the "field-crops-research" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/field-crops-research into .claude/skills/field-crops-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-crops-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/field-crops-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills field-crops-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/field-crops-research .agents/skills/field-crops-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "field-crops-research" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/field-crops-research into .agents/skills/field-crops-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-crops-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills field-crops-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/field-crops-research .cursor/skills/field-crops-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "field-crops-research" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/field-crops-research into .cursor/skills/field-crops-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-crops-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Agriculture-Environment-Journal-Skills/skills/field-crops-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills field-crops-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/field-crops-research .gemini/skills/field-crops-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "field-crops-research" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/field-crops-research into .gemini/skills/field-crops-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-crops-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills field-crops-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/field-crops-research .github/skills/field-crops-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "field-crops-research" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/field-crops-research into .github/skills/field-crops-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-crops-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills field-crops-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Agriculture-Environment-Journal-Skills/skills/field-crops-research .opencode/skills/field-crops-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "field-crops-research" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Agriculture-Environment-Journal-Skills/skills/field-crops-research into .opencode/skills/field-crops-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "field-crops-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
field-crops-research- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 691 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when targeting Field Crops Research or deciding whether an agronomy / crop-physiology manuscript fits this venue.
- Targeting Field Crops Research
- SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Deciding whether an agronomy / crop-physiology manuscript fits this venue
What it does
Field Crops Research is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.
Its SKILL.md is about 1.7k 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 Databases, covering Database administration. 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
- Targeting Field Crops Research
- Deciding whether an agronomy / crop-physiology manuscript fits this venue
Example prompts
- “/field-crops-research”
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
Field Crops Research loads about 1.7k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 691 words of instructions outside code blocks.
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). 691 words, ~1,717 tokens.
Download SKILL.mdSave it as
.claude/skills/field-crops-research/SKILL.md (or your agent's skills folder).- name
- field-crops-research
- description
- 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.
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 between Field Crops Research,
agronomy-for-sustainable-development, andagriculture-ecosystems-and-environment. - The author needs the venue's desk-reject heuristics around replication and field validity.
Scope & topic fit
- Crop yield and yield-component determinants under field conditions across genotypes and environments.
- Resource-use efficiency: water-, nitrogen-, and radiation-use efficiency and the trade-offs among them.
- Cropping systems and management: rotations, intercropping, planting density, sowing date, and agronomic interventions evaluated in the field.
- Crop physiology underpinning yield formation: phenology, source–sink relations, canopy and root function at field scale.
- Crop simulation modeling calibrated and validated against field data, including genotype × environment × management analysis.
- Yield-gap analysis and benchmarking across regions and production systems.
Method & evidence bar
- The contribution must be field-relevant and generalizable: adequately replicated experiments across sites and/or seasons, or modeling validated on independent field data.
- Experimental design must be sound: stated design (RCBD, split-plot, etc.), true replication, randomization, and appropriate error terms; pseudoreplication is disqualifying.
- Statistics must match the design: mixed models for multi-environment data, correct treatment of site/year as random or fixed, and reported variance/uncertainty.
- Yield and efficiency claims need full agronomic context: soil, weather, inputs, and management documented so results are interpretable and reproducible.
- Models must report calibration/validation separately, skill metrics against measured data, and parameter sources; data and key code/inputs should be available per Elsevier policy.
Structure & house style
- Standard IMRaD; the introduction must state the agronomic problem and the across-environment question, not just describe a local trial.
- Materials and methods must fully document environments (soil, climate), design, replication, and management so the study is reproducible.
- Figures/tables should carry the across-environment argument (G×E×M, response curves, yield-gap or efficiency comparisons) with variability shown.
- A data-availability statement and complete agronomic metadata are expected; supplementary material carries site-by-site detail.
Show full SKILL.md (259 more words)Show less
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the official source anchors, then cite the current Field Crops Research page you checked. - Search the live site for "Field Crops Research guide for authors" and follow the current Elsevier version.
- Re-check article types, structure, word/figure expectations, and abstract format.
- Confirm the data-availability/repository policy and reporting of environmental and management metadata.
- Re-check competing-interests, funding, author-contribution, and AI-use disclosure, and open-access terms.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- Evidence spans multiple sites and/or seasons, or modeling is validated on independent field data.
- The design has true replication and randomization; there is no pseudoreplication.
- Statistics match the design (e.g., mixed models for multi-environment data) with uncertainty reported.
- Soil, weather, inputs, and management are fully documented for reproducibility.
- Models report calibration and validation separately with skill metrics against measured data.
- Data-availability statement and agronomic metadata are prepared.
Common desk-reject triggers
- A single site-year, unreplicated trial presented as a general agronomic finding.
- A pot/glasshouse-only study generalized to the field with no field validation.
- Pseudoreplication, or statistics that ignore site/year structure in multi-environment data.
- Yield/efficiency claims with missing soil, weather, or management context.
- A crop model reported without independent validation or skill metrics against field data.
Re-routing decision
- Explicit sustainability framing, or review/meta-analysis of cropping systems →
agronomy-for-sustainable-development. - Environmental fluxes (GHG, nutrient losses), biodiversity, or water quality dominant →
agriculture-ecosystems-and-environment. - Soil-process mechanism (SOM, microbial, nutrient cycling) is the core →
soil-biology-and-biochemistry. - Broad food-systems significance →
nature-food. - Crop physiology/genetics with mechanistic plant-science reach →
new-phytologistorthe-plant-journal.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Field Crops Research
[Topic tags] <2–3 closest field-agronomy topics>
[Generalizability] <multi-environment evidence or validated model that transfers>
[Method/evidence] <does replication + design + statistics clear Field Crops Research's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / data policy / metadata reporting / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>© 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/field-crops-research of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Field Crops Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Field Crops Research this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Hybrid Cloud Outboxesgetsentry/sentry | 46k | — | ~4.8k | Automated safety check: Pass | Custom licence | |
| Replicate Video AdJingyi-Wu-Richael/replicate-video-ad | 108 | 1 repos | ~1.6k | Automated safety check: Pass | None | |
| Sea Orm 2FlyinPancake/yoink | 112 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Pixel Perfect ReplicationYu-369/VibeCurb | 979 | — | ~8.7k | Automated safety check: Pass | MIT | |
| Horse Database PoolingHashLoad/horse | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Field Crops Research
What does Field Crops Research do?
A skill your agent uses when targeting Field Crops Research or deciding whether an agronomy / crop-physiology manuscript fits this venue. Field Crops Research is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Field Crops Research or deciding whether an agronomy / crop-physiology manuscript fits this venue.
When should I use Field Crops Research?
Field Crops Research fits situations like: targeting Field Crops Research; deciding whether an agronomy / crop-physiology manuscript fits this venue.
How do I install Field Crops Research in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a claude-code`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/field-crops-research in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/field-crops-research in your project. Claude Code loads it when a task matches its description.
How do I install Field Crops Research in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill field-crops-research -a codex`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/field-crops-research in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/field-crops-research in your project. Codex loads it when a task matches its description.
Can I use Field Crops Research 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 field-crops-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/field-crops-research, .gemini/skills/field-crops-research, .github/skills/field-crops-research and .opencode/skills/field-crops-research in your project.
What does Field Crops Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Field Crops Research is instructions for the agent only.
Does Field Crops Research 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 Field Crops Research 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 Field Crops Research use?
Field Crops Research 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 Field Crops Research use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 Field Crops Research?
Skills that share tags, products or a category with Field Crops Research: Hybrid Cloud Outboxes (getsentry/sentry, 46k stars), Replicate Video Ad (Jingyi-Wu-Richael/replicate-video-ad, 108 stars), Sea Orm 2 (FlyinPancake/yoink, 112 stars) and Pixel Perfect Replication (Yu-369/VibeCurb, 979 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Field Crops Research?
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.