Agent skill

Nature Reviews Materials

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

A skill your agent uses when targeting Nature Reviews Materials (Nat Rev Mater) or deciding whether a materials review proposal fits this commissioned, conceptually demanding review venue.

MITAuto-check passedResearch & Science

Install Nature Reviews Materials

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills nature-reviews-materials --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/English-NaturalScience-Journal-Skills/skills/nature-reviews-materials .claude/skills/nature-reviews-materials && 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-reviews-materials
GitHub stars
1.2k
Token cost
~2.1k tokens
SKILL.md length
957 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 Reviews Materials (Nat Rev Mater) or deciding whether a materials review proposal fits this commissioned, conceptually demanding review venue.

  • Targeting Nature Reviews Materials (Nat Rev Mater)
  • 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 materials review proposal fits this commissioned

What it does

Nature Reviews Materials is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Nature Reviews Materials (Nat Rev Mater) or deciding whether a materials review proposal fits this commissioned, conceptually demanding review venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 2.1k 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. 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 Reviews Materials (Nat Rev Mater)
  • Deciding whether a materials review proposal fits this commissioned
  • Conceptually demanding review venue

Example prompts

  • “/nature-reviews-materials”

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 Reviews Materials loads about 2.1k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 957 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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). 957 words, ~2,084 tokens.

Download SKILL.mdSave it as .claude/skills/nature-reviews-materials/SKILL.md (or your agent's skills folder).
name
nature-reviews-materials
description
Use when targeting Nature Reviews Materials (Nat Rev Mater) or deciding whether a materials review proposal fits this commissioned, conceptually demanding review venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

Nature Reviews Materials (nature-reviews-materials)

Journal positioning

Nature Reviews Materials is a Springer Nature review journal that publishes authoritative, accessible reviews across the whole of materials science and engineering — from soft and biological materials to electronic, energy, structural, and quantum materials. Its defining character is that content is commissioned and editor-developed: authors are leaders in their field, and articles are shaped in collaboration with a professional in-house team. The journal publishes no primary research; its currency is conceptual synthesis at a high bar — articles must frame a field, distill unifying design principles, weigh competing approaches, and use original figures as pedagogy so that a scientist outside the subfield can follow the state and trajectory of an area. Readership spans materials scientists, chemists, physicists, and engineers seeking an expert's map. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official guidelines. Before any contact, re-check the live author and proposal information on the Nature Reviews Materials site.

When to trigger

  • An author wants to propose or has been invited to write a field-defining review across any area of materials science and engineering.
  • A leading researcher is choosing between Nature Reviews Materials and a primary-research or applied-materials venue and needs to understand the commissioned, conceptual, accessibility-first model.
  • A team holds primary results and is mistakenly framing a "review"; the trigger is to redirect to a primary-research venue.
  • An author needs the journal's expectations on conceptual framing, design-principle synthesis, and figure-as-pedagogy before approaching editors.

Scope & topic fit

  • Conceptual syntheses that organize an active materials subfield into a coherent framework of structure–property–processing–performance relationships and design principles.
  • Emerging and cross-cutting areas where an expert map clarifies direction: quantum and topological materials, 2D materials, metamaterials, soft and living materials, batteries and energy materials, biomaterials.
  • Manufacturing- and processing-centered reviews when the conceptual link from process to property is the unifying thread.
  • Theory-, simulation-, and data-driven materials discovery (high-throughput, machine learning) reviewed for its conceptual implications.
  • Interfaces with chemistry, physics, and biology where a materials perspective integrates scattered literature.
  • Roadmap- and Perspective-style pieces that argue where a materials field should go, when commissioned as such.

Method & evidence bar

  • The article must deliver a conceptual organizing framework — design principles, mechanisms, or unifying trade-offs — not an exhaustive literature dump; the central framing should be statable in one or two sentences.
  • Coverage must be balanced and authoritative across competing materials platforms and schools, with the authors recognized as field leaders.
  • Figures are load-bearing pedagogy — original, schematic, and conceptual; reused or decorative figures are insufficient, and permissions for adapted figures must be cleared.
  • Claims about the state of the field must be evidence-anchored to the primary literature, with citations chosen for authority and representativeness rather than completeness.
  • No primary research data are presented; any new analysis is illustrative and clearly framed as the authors' synthesis.
  • Accessibility is a hard bar: a scientist outside the subfield must follow the argument, the property–performance logic, and the figures.

Structure & house style

  • Articles are commissioned; the normal route is a pre-submission proposal (synopsis, outline, key figures, author expertise) developed with an editor before a full draft.
  • House style favors a narrative arc through clear conceptual sections, Boxes for technical asides or definitions, and a forward-looking outlook section.
  • Display items are central: original schematic figures and concept diagrams designed with the journal's art team; figure ideas should be sketched early.
  • Writing is expository and accessible — minimal jargon, defined terms, explicit signposting — teaching peers across disciplines rather than arguing a primary result.
  • Length and reference counts are substantial but bounded; re-check current limits and online-only Supplementary Information use.
  • An abstract and often a key-points summary orient the reader; subheadings must convey the conceptual structure at a glance.
Show full SKILL.md (343 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 official source anchors for this journal family, then cite the current Nature Reviews Materials page you checked.
  • Search the live site for "Nature Reviews Materials for authors" and follow the current Springer Nature version, including the pre-submission proposal process.
  • Re-check article-type definitions (Review, Perspective, Roadmap, Comment) and current word, display-item, and reference limits for each.
  • Re-check figure-permission, original-artwork, and Supplementary Information requirements; confirm the editorial-collaboration and revision workflow.
  • Re-check competing-interests, funding, and AI-use disclosure requirements; confirm authorship and conflict policies for commissioned content.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence — the conceptual framework or design principle this review establishes and why a broad materials readership needs it now.
  • The content is synthesis, not primary research, and presents no new experimental data as a result.
  • The author team is recognized in the area and can weigh competing materials platforms fairly.
  • Key figures are conceived as original pedagogy, with adapted-figure permissions identifiable.
  • A pre-submission proposal / outline is prepared rather than an unsolicited full manuscript.
  • The argument is accessible across disciplines, with terms defined and structure signposted.

Common desk-reject triggers

  • An unsolicited full manuscript sent without a proposal, where the journal's model is commissioning and editor collaboration.
  • A primary-research paper disguised as a review, or a piece whose core contribution is new experimental data.
  • An exhaustive, undifferentiated literature catalogue with no organizing concept, design principle, or perspective.
  • A narrow, specialist write-up inaccessible to the broad readership, or one with no original conceptual figures.
  • Imbalanced coverage that promotes the authors' own platform or a single approach without fair treatment of alternatives.

Re-routing decision

  • Primary research presenting new materials results: nature-materials.
  • Applied materials advance — devices, processing, or performance breakthroughs in functional materials: advanced-materials.
  • Authoritative review elsewhere in the Nature Reviews family when the core is chemistry or physics rather than materials: nature-reviews-chemistry.
  • Forward-looking opinion shorter than a full review: a Perspective or Comment within the Nature Reviews family, by arrangement with the editors.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Nature Reviews Materials
[Topic tags] <2–3 closest topics>
[Method/evidence] <is there a clear conceptual framework / design-principle synthesis, balanced authoritative coverage, and original figure-as-pedagogy — with no primary data?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <proposal route / article-type limits / figure permissions & artwork / SI / disclosure>
[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 English-NaturalScience-Journal-Skills/skills/nature-reviews-materials of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Nature Reviews Materials 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 Reviews Materials compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nature Reviews Materials this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~2.1kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

Similar skills

  • Hypothesis Generation

    spacering-net/codeg

    Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Research & ScienceAuto-check: notes
  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • Nature Paper Card

    Yuan1z0825/nature-skills

    Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.

    47k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed
  • Content Research Writer

    weapp-tailwindcss/weapp-tailwindcss

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.

    1.9k GitHub starsUsed in 25 repos~3.5k tokens
    Research & ScienceAuto-check passed
  • Last30days

    mvanhorn/last30days-skill

    Research what people actually say about any topic in the last 30 days.

    64k GitHub stars~7.9k tokensUpdated yesterday
    Research & ScienceAuto-check: notes
  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
    Research & ScienceAuto-check: notes

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 14 days ago
    Auto-check passed

Questions about Nature Reviews Materials

What does Nature Reviews Materials do?

A skill your agent uses when targeting Nature Reviews Materials (Nat Rev Mater) or deciding whether a materials review proposal fits this commissioned, conceptually demanding review venue. Nature Reviews Materials is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Nature Reviews Materials (Nat Rev Mater) or deciding whether a materials review proposal fits this commissioned, conceptually demanding review venue.

When should I use Nature Reviews Materials?

Nature Reviews Materials fits situations like: targeting Nature Reviews Materials (Nat Rev Mater); deciding whether a materials review proposal fits this commissioned; conceptually demanding review venue.

How do I install Nature Reviews Materials in Claude Code?

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

How do I install Nature Reviews Materials in Codex?

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

Can I use Nature Reviews Materials 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-reviews-materials -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-reviews-materials, .gemini/skills/nature-reviews-materials, .github/skills/nature-reviews-materials and .opencode/skills/nature-reviews-materials in your project.

What does Nature Reviews Materials need to run?

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

Does Nature Reviews Materials 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 Reviews Materials 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 Reviews Materials use?

Nature Reviews Materials 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 Reviews Materials use?

About 2.1k tokens (SKILL.md is roughly 8.3k 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 Reviews Materials?

Skills that share tags, products or a category with Nature Reviews Materials: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nature Reviews Materials?

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.