skills.rest
stellaromics
stellaromicsOFFICIAL
Explore all skills by this author →
GitHub

bio-reporting-figure-export

Export matplotlib and ggplot2 figures to PDF, SVG, PNG, and TIFF formats.

Updated Aug 27, 2026
Search Tags:#matplotlib#export#publication#figures#ggplot2#dpi#multi-panel
One-click install
npx skills add https://github.com/stellaromics/fast-bioinfo --skill bio-reporting-figure-export
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bio-reporting-figure-export
Source: https://github.com/stellaromics/fast-bioinfo/tree/main/.claude/agents/spatial-analysis/skills/bio-reporting-figure-export
Command: npx skills add https://github.com/stellaromics/fast-bioinfo --skill bio-reporting-figure-export

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Exports publication-ready figures with proper resolution, sizing, and typography for journal submissions, presentations, or reports.

Core Features & Use Cases

  • Export plots to high-quality vector and raster formats (PDF, SVG, TIFF, PNG) with controlled DPI and figure dimensions.
  • Supports Python (matplotlib) and R (ggplot2) workflows, including single-panel and multi-panel layouts, with typography and color accessibility defaults.
  • Use case: Prepare figures that meet journal guidelines and presentation standards.

Quick Start

Export a publication-ready figure from a Python or R plot with 300 DPI and correct dimensions.

Frequently Asked Questions about bio-reporting-figure-export

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

FAQPage Schema
How do I export matplotlib figures for journal publication at 300 DPI?▼

To export publication-ready matplotlib figures, you need to set the DPI to 300 and define correct figure dimensions. This skill provides typography and sizing defaults to output high-quality PDF, SVG, PNG, or TIFF files that meet journal guidelines.

Can I export multi-panel ggplot2 layouts as a single publication-ready PDF?▼

Yes, you can export multi-panel ggplot2 layouts as a single PDF. The skill supports R workflows and multi-panel layouts, applying proper sizing and typography defaults to generate a cohesive publication-ready figure.

What is the best way to ensure my exported figures meet color accessibility standards?▼

The best way to ensure color accessibility in exported figures is to use built-in guidance for color choices. This skill provides accessibility defaults and typography settings during the PDF, SVG, PNG, or TIFF export process for journal submissions.

Does this skill work with both Python and R for generating publication-quality graphics?▼

Yes, this skill works with both Python and R. It supports matplotlib and ggplot2 workflows, allowing you to apply consistent typography, sizing, and DPI defaults for publication-quality graphics across both environments.

When do I need to export plots as vector formats like SVG or PDF instead of PNG?▼

You need to export plots as vector formats like SVG or PDF when submitting to journals that require scalable graphics without resolution loss. This skill formats these exports with proper dimensions and typography defaults for publication readiness.

Related Skills

Explore More Data & Analytics Skills→
windyskywindysky

moai-lang-r

Apply modern R 4.4+ development patterns for data science projects.

Community
Advanced
wsxwj123wsxwj123
7

scientific-visualization

Create multi-panel publication figures with colorblind-safe palettes and journal-compliant exports.

Community
Advanced
brainworkupbrainworkup
1

scientific-visualization

Generate publication-ready multi-panel figures with journal-specific styles and colorblind-safe palettes.

Community
Advanced
dotrurudotruru

scientific-visualization

Coordinate Matplotlib, Seaborn, and Plotly to generate publication-ready scientific figures.

Community
Advanced