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data-viz-plots

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Create publication-grade plots locally.

Data & Analytics#EDA#plotting#matplotlib#local#seaborn#data-visualization#publication-quality
AuthorStarlitnightly
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables creating publication-quality visualizations using matplotlib and seaborn locally, enabling exploratory analysis and presentation-ready figures without relying on cloud services.

Core Features & Use Cases

  • Scatter, line, heatmaps, violin plots, and more for exploratory data analysis.
  • Multi-panel figures for comprehensive comparisons and presentations.
  • High-resolution exports suitable for papers and slides.
  • Styling and color palettes to align visuals with journals or branding.

Quick Start

Produce a publication-ready scatter plot from x_data and y_data and save as scatter_plot.png.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-viz-plots
Download link: https://github.com/Starlitnightly/omicverse/archive/main.zip#data-viz-plots

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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