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nature-skills

nature-skills is a collection of agent skills built around the editorial standards of Nature-family journals — structured templates for abstracts, methods, results, and discussion sections, plus scientific figure specifications that comply with Nature's layout and formatting requirements.

Yuan1z0825/nature-skills

Research

Installation

npx skills add Yuan1z0825/nature-skills

Summary

nature-skills is a collection of agent skills built around the editorial standards of Nature-family journals — structured templates for abstracts, methods, results, and discussion sections, plus scientific figure specifications that comply with Nature's layout and formatting requirements.

  • Nature journal writing style
  • Scientific figure generation
  • Citation formatting
  • Abstract and methods templates
  • Peer review language

About nature-skills

What Is nature-skills?

nature-skills is a collection of AI agent skills for academic writing and scientific visualization, built around the editorial standards of Nature-family journals. It provides structured templates and workflows for abstracts, methods sections, results narratives, figure captions, and citations — conforming to Nature's style guide. Key capabilities:

Nature journal writing style

Sentence structure, hedging conventions, active/passive voice norms, and precision vocabulary

Scientific figure generation

Matplotlib and R-compatible figure specifications following Nature's layout guidelines

Citation formatting

Nature citation style with DOI verification

Abstract and methods templates

Structured templates for each section type

Peer review language

Vocabulary and framing conventions for reviewer responses and cover letters

Writing Standards

Nature Style Guide Compliance

Nature journals have specific conventions that differ from general academic writing: active voice is preferred in methods; results are stated precisely without over-interpretation; statistical claims require specific formatting (confidence intervals, effect sizes, p-value reporting conventions).

nature-skills encodes these conventions so Claude produces writing that reads as Nature-ready from the first draft.

Section-Specific Templates

Abstract: Structured 150-word format: one sentence each for background, gap, approach, key result, and significance.

Methods: Active voice, past tense, sufficient detail for reproducibility. Reagent and software citation conventions included.

Results: Present tense, figure-forward narrative, statistical reporting standards (mean ± SD, 95% CI, specific p-values).

Discussion: Interpretation bounded to the data, explicit limitation statements, appropriate future directions scope.

Scientific Figure Guidelines

Nature has specific figure requirements: font sizes (6–8pt minimum), line weights, color choices (accessible to colorblind readers), and resolution (300 dpi minimum for print). The figure skill generates specifications for matplotlib (Python) and ggplot2 (R) that produce Nature-compliant figures.

How to Install nature-skills?

npx skills add Yuan1z0825/nature-skills | Or download from GitHub https://github.com/Yuan1z0825/nature-skills

FAQ about nature-skills

Does nature-skills only apply to Nature journals?

Nature's standards are strict enough that output meeting them typically also meets the requirements of Science, Cell, PNAS, and other high-impact journals.

Can it help non-native English speakers with academic writing?

Yes. The writing conventions, hedging patterns, and statistical reporting standards are explicitly encoded, which is particularly valuable for researchers writing in English as a second language.

Does it handle field-specific conventions?

Core writing conventions apply across fields. Field-specific statistical and notation requirements may need additional specification in your prompt.

Are the figure specifications current?

The specifications reflect Nature's formatting requirements as of the skill's last update. Always verify against the current author guidelines for your target journal.

Sources

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Editorial review · agent skill

What this page is based on

Skill behavior is described from the recorded repository or package evidence and its verification date.

Review basis
agent skill record and linked primary evidence
Last checked
Jul 11, 2026
Evidence links
2 recorded in the page data

Source snapshot is 91 days old; verify upstream details before relying on pricing, availability, or security claims.