visualizing-data
✓Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.
Installation
SKILL.md
Systematic guidance for selecting and implementing effective data visualizations, matching data characteristics with appropriate visualization types, ensuring clarity, accessibility, and impact.
Data visualization transforms raw data into visual representations that reveal patterns, trends, and insights. This skill provides:
| Compare values | Bar Chart, Lollipop Chart | | Show trends | Line Chart, Area Chart | | Reveal distributions | Histogram, Violin Plot, Box Plot | | Explore relationships | Scatter Plot, Bubble Chart | | Explain composition | Treemap, Stacked Bar, Pie Chart (<6 slices) | | Visualize flow | Sankey Diagram, Chord Diagram |
Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces. Source: ancoleman/ai-design-components.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/ancoleman/ai-design-components --skill visualizing-data- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is visualizing-data?
Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces. Source: ancoleman/ai-design-components.
How do I install visualizing-data?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ancoleman/ai-design-components --skill visualizing-data Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/ancoleman/ai-design-components
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01