data-visualization

Design accessible data visualizations with chart selection and color guidance.

3|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/hulusi-tunc/unicorn-skills --skill data-visualization-hulusi-tunc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-visualization
Source: https://github.com/hulusi-tunc/unicorn-skills/tree/main/.claude/skills/ui-design--data-visualization
Command: npx skills add https://github.com/hulusi-tunc/unicorn-skills --skill data-visualization-hulusi-tunc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design clear, accessible data visualizations that communicate insights to stakeholders without confusion or ambiguity.

Core Features & Use Cases

  • Chart selection guidance for comparison, trend, distribution, and relationship data.
  • Accessibility-focused design including color-contrast considerations, labels, and keyboard-navigable charts.
  • Real-world use case: Transform a noisy dataset into a dashboard with consistent color encoding and clear axis labels to highlight insights.

Quick Start

Create a data visualization plan that maps your dataset to an appropriate chart type and accessibility considerations for your next project.

Frequently Asked Questions about data-visualization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right chart type for my data visualization?

Chart selection for data visualization depends on matching your dataset to the appropriate chart type for comparison, trend, distribution, or relationship data to ensure insights are communicated clearly.

What is accessible data visualization design?

Accessible data visualization design ensures charts are usable by everyone by incorporating color-contrast considerations, clear labels, and keyboard-navigable charts to prevent confusion for stakeholders with disabilities.

How do I design a dashboard with consistent color encoding?

Dashboard design with consistent color encoding requires applying color-theory best practices to transform noisy datasets into clear visuals, using consistent color encoding and clear axis labels to highlight insights.

Can I use data storytelling techniques for presentation reports?

Data storytelling for presentation reports applies chart selection guidance and responsive design best practices to communicate insights effectively across dashboards, reports, and presentations involving multiple charts.

Does data visualization design work for responsive dashboard layouts?

Data visualization design supports responsive dashboard layouts by incorporating responsive design best practices, ensuring charts and visuals adapt appropriately while maintaining accessibility and clear axis labels across devices.