A skill your agent uses when targeting Nature Food or deciding whether a food-systems manuscript fits this venue.

MITAuto-check passedResearch & Science

Install Nature Food

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nature-food -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills nature-food --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/nature-food .claude/skills/nature-food && 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
nature-food
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
660 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Nature Food or deciding whether a food-systems manuscript fits this venue.

  • Targeting Nature Food
  • 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 a food-systems manuscript fits this venue

What it does

Nature Food is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Nature Food or deciding whether a food-systems manuscript fits this venue. Encodes the journal's fit, the food-systems-significance and transdisciplinary bar, evidence and reproducibility expectations, house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 1.6k 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 Reproducible research. 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 Nature Food
  • Deciding whether a food-systems manuscript fits this venue

Example prompts

  • “/nature-food”

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

Nature Food loads about 1.6k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 660 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 660 words, ~1,620 tokens.

Download SKILL.mdSave it as .claude/skills/nature-food/SKILL.md (or your agent's skills folder).
name
nature-food
description
Use when targeting Nature Food or deciding whether a food-systems manuscript fits this venue. Encodes the journal's fit, the food-systems-significance and transdisciplinary bar, evidence and reproducibility expectations, house style, official-submission re-check, and desk-reject heuristics.

Nature Food (nature-food)

Journal positioning

Nature Food is the Nature Portfolio journal for research, analysis, and opinion across the entire food system — production, processing, distribution, consumption, nutrition, and the environmental, economic, and social dimensions that connect them. Its defining expectation is food-systems significance: a result that matters beyond a single crop, process, or location and speaks to how food is produced or consumed sustainably and healthily. A solid agronomy, food-chemistry, or nutrition result with no systems-level significance is a poor fit, however rigorous. 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 Nature Food submission guidance.

When to trigger

  • The author names Nature Food and wants a fit/framing check for a food-systems paper.
  • A specialist agronomy / food-science / nutrition / supply-chain result must be re-framed into a food-systems-significance narrative.
  • The author is choosing between Nature Food, a Nature Portfolio sibling, and a specialist agriculture or food journal.
  • The author needs Nature Food's desk-reject heuristics and a credible alternative route.

Scope & topic fit

  • Sustainable food production: crops, livestock, aquaculture, and agroecology when the contribution reaches system-level outcomes (yield–environment trade-offs, resilience).
  • Food environment and nutrition: diets, food security, and health outcomes analyzed at population or systems scale.
  • Food processing, safety, and supply chains when the advance reframes a systems problem, not just a unit operation.
  • Environmental footprint of food: land, water, biodiversity, and greenhouse-gas analyses, including life-cycle and modeling studies.
  • Food policy, economics, and behavior with rigorous, generalizable evidence.
  • Transdisciplinary syntheses that connect production, environment, and human health.

Method & evidence bar

  • The central claim must carry food-systems significance, supported by evidence appropriate to the method (field/experimental, observational, modeling, or analytical).
  • Modeling and assessment studies must be transparent: stated assumptions, sensitivity analysis, and uncertainty; scenario work must justify scenario choice.
  • Empirical claims need adequate replication, controls, and representativeness; survey and observational data need design and bias discussion.
  • Cross-disciplinary papers must satisfy the evidence bar of each discipline they touch (e.g., both agronomic and environmental-accounting rigor).
  • Data and code availability are expected for the central analysis; follow Nature reporting and data-availability policy.

Structure & house style

  • Nature Portfolio format: a significance-forward abstract and an introduction that frames the food-systems problem and the gap; re-check current article types (Article, Analysis, Perspective, etc.) on the live guide.
  • Main display items should carry the systems-level argument; specialist detail moves to supplementary information.
  • Methods are detailed and reproducible; reporting summary and data/code statements are required per Nature policy.
  • Framing should be accessible to a broad food-systems readership, not only one specialty.
Show full SKILL.md (237 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the Nature Portfolio anchors, then cite the current Nature Food page you checked.
  • Search the live site for "Nature Food submission guidelines" and follow the current version.
  • Re-check article types, abstract/format expectations, the reporting summary, and the data/code-availability policy.
  • Confirm requirements for modeling transparency, life-cycle inventory disclosure, or survey instruments if applicable.
  • 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

  • The contribution has food-systems significance, not just a clean specialist result.
  • The advance is framed for a broad food-systems readership, with specialist detail in SI.
  • Modeling/assessment assumptions, sensitivity, and uncertainty are explicit.
  • Empirical evidence has adequate replication, representativeness, and bias discussion.
  • Each discipline the paper spans is supported to its own evidence standard.
  • Data/code availability and the Nature reporting summary are addressed.

Common desk-reject triggers

  • A rigorous but narrow agronomy, food-chemistry, or nutrition result with no systems-level significance.
  • Single-site, single-season, or unreplicated field/processing studies presented as broadly generalizable.
  • Opaque modeling or life-cycle assessment with no sensitivity/uncertainty analysis.
  • A supply-chain or policy claim with weak, non-representative, or cherry-picked evidence.
  • Framing pitched to one specialty community rather than the food-systems audience.

Re-routing decision

  • Crop/agronomy field result without systems framing → field-crops-research / agronomy-for-sustainable-development.
  • Food composition/safety chemistry → food-chemistry.
  • Agroecosystem environment focus → agriculture-ecosystems-and-environment.
  • Broad earth/environment OA framing → communications-earth-and-environment.
  • Plant-science mechanism → nature-plants / new-phytologist.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Nature Food
[Topic tags] <2–3 closest food-systems topics>
[Systems significance] <why it matters beyond one crop/process/site>
[Method/evidence] <does the evidence + transparency clear Nature Food's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / reporting summary / data policy / 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/nature-food of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Nature Food 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.

Nature Food compared with similar skills
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Nature Food this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
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CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Compute Environment Setupaipoch/open-science5.5k—~2.6kAutomated safety check: PassApache-2.0
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

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Questions about Nature Food

What does Nature Food do?

A skill your agent uses when targeting Nature Food or deciding whether a food-systems manuscript fits this venue. Nature Food is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Nature Food or deciding whether a food-systems manuscript fits this venue.

When should I use Nature Food?

Nature Food fits situations like: targeting Nature Food; deciding whether a food-systems manuscript fits this venue.

How do I install Nature Food in Claude Code?

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

How do I install Nature Food in Codex?

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

Can I use Nature Food 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 nature-food -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-food, .gemini/skills/nature-food, .github/skills/nature-food and .opencode/skills/nature-food in your project.

What does Nature Food need to run?

SKILL.md names no scripts, command-line tools or credentials: Nature Food is instructions for the agent only.

Does Nature Food 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 Nature Food 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 Nature Food use?

Nature Food 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 Nature Food use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Nature Food?

Skills that share tags, products or a category with Nature Food: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nature Food?

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.