“Data visualization”

Make data visualizations accessible and inclusive.

This skill should be used when the user asks about "data journalism", "data visualization", "data storytelling", "FOIA request", "RTI request", "spreadsheet…

Data visualization, charts, and report generation toolkit.

Visualization patterns and solutions: matplotlib, seaborn, financial signal and volatility charts, time-series decomposition and forecast plots, anomaly…

Use this skill for generating data-driven charts and visualizations using Python.

Create beautiful data visualizations with mathematical elegance, color theory, and narrative design - the "Data is Beautiful" aesthetic.

Generate publication-quality data visualizations from data and intent description.

Visualize differential expression results using DESeq2/edgeR built-in functions.

Creates financial charts and visualizations.

Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations.

Build high-density, accessible data visualizations, sparklines, telemetry charts, and operational metrics using token-driven SVG geometry, tabular numerals…

Data visualization dashboard with multiple chart types — line, bar, pie, scatter, heatmap.

Route visual engineering work across SVG, motion, data visualization, diagrams, maps, generative graphics, 3D and visual stories.

Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker.

Data visualization design using Recharts or comparable charting libraries.

Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1)…

Generate and improve accessible alt text for data visualizations and images in R packages and Quarto documents.

Generate branded infographic specifications from any content or data.

Load, explore, and visualize data; build reports and answer questions from datasets.

Create inline visuals for code and explanations, or author persistent OpenClaw dashboard widgets with show_widget.

Product visuals must show the real product with real data.

Use when exploring, querying, analyzing, or visualizing data from a Portolan catalog (STAC-based cloud-native geospatial data).

Render charts that satisfy rules/output_formatting.md::O4.

Analyze structured data or create visualizations from data.