visualization▌

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.

Chart selection guidance, Python code patterns, and design principles for effective data visualizations. \n \n Comprehensive chart selection table covering 13+ chart types with guidance on when to use each and common anti-patterns to avoid (pie charts, 3D, dual-axis) \n Ready-to-use Python code examples for line charts, bar charts, histograms, heatmaps, small multiples, and interactive Plotly visualizations with professional styling \n Design principles covering color theory (sequential, divergi

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.

Transform and visualize interior spaces using each::sense. This skill takes photos of existing rooms and generates redesigned versions with different styles, furniture, colors, and layouts.

Create publication-ready scientific figures with matplotlib, seaborn, and plotly. \n \n Supports multi-panel layouts, error bars, significance markers, and journal-specific styling for Nature, Science, Cell, and PLOS \n Includes colorblind-safe palettes (Okabe-Ito, viridis) and grayscale compatibility testing to ensure accessibility \n Provides pre-configured style presets and export utilities for PDF, EPS, TIFF at correct DPI (300–1200 depending on figure type) \n Covers typography, resolution,

Intelligently selects from 26 chart types and generates visualization images from structured data. \n \n Covers 26 chart types across time series, comparisons, hierarchies, maps, relationships, and specialized visualizations (radar, funnel, sankey, network graphs, and more) \n Requires Node.js 18.0.0 or higher; generates charts by invoking a JavaScript script with JSON payload containing data, title, theme, and style parameters \n Workflow: analyze user data to select appropriate chart type, ext