Can I export high-resolution images for reports?

Absolutely. The skill includes standardized code snippets to save figures at 300 DPI in formats like PNG, suitable for professional and academic publications.

Does this skill support biological or genomic data visualization?

Yes, it specifically includes templates for common bioinformatics visualizations like UMAP projections, volcano plots, and gene expression heatmaps.

What Python libraries are required for this skill?

You will need Matplotlib, Seaborn, Pandas, and NumPy installed in your local Python environment to use these plotting capabilities.

Is my data sent to a cloud server for rendering?

No. All visualization logic and data processing occur locally in your environment, ensuring your data stays private and secure.

Does this skill work with models other than Claude?

Yes, this skill is designed to be universal and works with any LLM provider including GPT, Gemini, DeepSeek, and Qwen as it executes code locally.

Data Visualization Universal

Name: Data Visualization Universal
Author: Activer007

byActiver007

Data Science & ML

Generates professional, publication-quality plots and data visualizations using Python's Matplotlib and Seaborn libraries.

About

The Data Visualization (Universal) skill empowers users to create sophisticated scientific figures and exploratory data analysis (EDA) visualizations directly within their local development environment. By leveraging industry-standard libraries like Matplotlib and Seaborn, it provides a robust toolkit for generating everything from simple scatter plots to complex multi-panel layouts and heatmaps. This skill is designed for maximum compatibility across all LLM providers (GPT, Gemini, Claude, DeepSeek), ensuring that your data analysis remains private, highly customizable, and ready for academic or professional presentation.

Key Features

Supports diverse plot types including scatter, line, heatmap, and violin plots
Generates high-resolution, publication-ready figures at 300 DPI
Advanced multi-panel layout configuration using GridSpec
Fully customizable aesthetics including themes, fonts, and color palettes
Local execution for maximum data privacy and cross-provider compatibility
0 GitHub stars

Use Cases

Creating scientific figures for research papers and technical presentations
Exploratory Data Analysis (EDA) and quality control metric visualization
Visualizing complex genomic data, clustering results, and DEG analysis

About

Key Features

Supports diverse plot types including scatter, line, heatmap, and violin plots
Generates high-resolution, publication-ready figures at 300 DPI
Advanced multi-panel layout configuration using GridSpec
Fully customizable aesthetics including themes, fonts, and color palettes
Local execution for maximum data privacy and cross-provider compatibility
0 GitHub stars

Use Cases

Creating scientific figures for research papers and technical presentations
Exploratory Data Analysis (EDA) and quality control metric visualization
Visualizing complex genomic data, clustering results, and DEG analysis