“data visualization”

Produce a chart, graph, dashboard, or any data visualization that reads as one system — elegant, accessible, and consistent in light and dark — BRAND-NEUTRAL…

Use for creating publication-quality charts and multi-panel analysis summaries.

Apply data visualization in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation.

Create effective data visualizations with Python (matplotlib, seaborn, plotly).

Create analytical charts and plots from existing data.

Comprehensive data processing, database operations, and visualization suite.

This skill should be used when the user wants to visualize data.

Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG.

Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.

Create GTM visual assets — social graphics, ad creatives, pitch deck design, one-pager layouts, email images, data visualization, and brand-consistent…

Make data visualizations accessible and inclusive.

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.

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…

14 data visualization skills.

Schema-enforced spatial transcriptomics analysis with 20 tools and 67 methods.

Visual language rules for Engram surfaces.

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.

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.