visualization▌

Create professional infographics using Nano Banana Pro AI with smart iterative refinement and quality review.

A toolkit for phylogenetic tree manipulation, analysis, and visualization, integrating with biological databases for phylogenomics.

deepTools is a comprehensive suite of Python command-line tools for processing and analyzing high-throughput sequencing data.

This skill provides a workflow for transforming data into structured narrative text visualizations using T8 Syntax - a declarative Markdown-like language for creating data narratives with semantic entity annotations.

Data visualization transforms complex data into clear, compelling visual representations that reveal patterns, trends, and insights for storytelling and decision-making.

Create clear, effective data visualizations via inference.sh CLI.

Comprehensive patterns for visualizing data on Mapbox maps. Covers choropleth maps, heat maps, 3D extrusions, data-driven styling, animated visualizations, and performance optimization for data-heavy applications.

Skill by ara.so — Daily 2026 Skills collection.

This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.

Expert guidance on chart selection and data visualization design for clear data communication. \n \n Covers five core chart categories: comparison (bar/column), distribution (histograms/box plots), relationship (scatter/bubble), composition (pie/stacked bars), and trends (line/area) \n Emphasizes four foundational principles: clarity, honesty, simplicity, and accessibility for color-blind audiences \n Provides chart type recommendations with rationale, code examples using matplotlib and plotly,