What is beautiful-data-viz?
Create publication-quality matplotlib/seaborn charts with readable axes, tight layout, and curated palettes. Source: fmschulz/omics-skills.
·beautiful-data-viz
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beautiful-data-viz
✓Create publication-quality matplotlib/seaborn charts with readable axes, tight layout, and curated palettes.
Installation
How to Install beautiful-data-viz
Quickly install beautiful-data-viz AI skill to your development environment via command line
- Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
- Run Installation Command: Copy and run this command: npx skills add https://github.com/fmschulz/omics-skills --skill beautiful-data-viz
- Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Source: fmschulz/omics-skills.
SKILL.md
View rawCreate polished, publication-ready visualizations in Python/Jupyter with strong typography, clean layout, and accessible color choices.
| Apply style | Use assets/beautifulstyle.py helpers | | Pick palette | See references/palettes.md | | QA checklist | See references/checklist.md | | Plot recipes | See examples/recipes.md |
Issue: Labels overlap or are unreadable Solution: Reduce tick count, rotate labels, or increase figure width.
Create publication-quality matplotlib/seaborn charts with readable axes, tight layout, and curated palettes. Source: fmschulz/omics-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/fmschulz/omics-skills --skill beautiful-data-viz- Source
- fmschulz/omics-skills
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-26
- Updated
- 2026-03-10
Quick answers
How do I install beautiful-data-viz?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/fmschulz/omics-skills --skill beautiful-data-viz Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Where is the source repository?
https://github.com/fmschulz/omics-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-26