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publication_figure

Generate publication-ready figures from research data with journal formatting standards.

2|Updated Jan 29, 2026
Search Tags:#graphics#visualization#publication#figures#journal-standards#research-data
One-click install
npx skills add https://github.com/lewisoepwqi/scientific_nini --skill publication-figure
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: publication_figure
Source: https://github.com/lewisoepwqi/scientific_nini/tree/main/.nini/skills/publication_figure
Command: npx skills add https://github.com/lewisoepwqi/scientific_nini --skill publication-figure

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generates publication-ready figures from research data that conform to the visual and formatting standards demanded by top journals (Nature, Science, Cell, Lancet, NEJM, IEEE, PNAS).

Core Features & Use Cases

  • Supports bar, line, violin, scatter, heatmap and multi-panel figures with publication-grade aesthetics.
  • Enforces essential conventions: DPI, vector formats, font sizes, color-contrast, axis labeling, and legends.
  • Use case: preparing a manuscript figure set from experimental results for journal submission.

Quick Start

Provide your data and target journal guidelines, and I will generate publication-ready figures that meet their formatting and accessibility requirements.

Frequently Asked Questions about publication_figure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create publication-ready figures that meet top journal standards?▼

To create publication-ready figures, you provide your research data and target journal guidelines. The tool then generates visuals satisfying requirements for high DPI, vector formats, color contrast, and axis labeling required by top journals.

What types of publication figures can I generate for a manuscript submission?▼

You can generate various publication figures for manuscript submissions, including bar, line, violin, scatter, heatmap, and multi-panel figures. These are formatted with publication-grade aesthetics to satisfy journal visual standards.

Can I use this to format research data visuals for specific journals like Nature or Science?▼

Yes, you can format research data visuals for specific journals like Nature, Science, Cell, Lancet, NEJM, IEEE, and PNAS. The tool enforces essential conventions to conform to their visual and formatting standards.

What's the best way to prepare a multi-panel figure set from experimental results?▼

The best way to prepare a multi-panel figure set is to input your experimental results and target journal guidelines. The system handles formatting requirements like font sizing, legends, and high DPI for submission-ready visuals.

Does this formatting process support both high DPI and vector formats for research data?▼

Yes, the formatting process supports both high DPI and vector formats for research data. It enforces these essential conventions alongside color contrast, axis labeling, and legend presentation to ensure accessibility and compliance.

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