data-artist

by foryourhealth111-pixel3.7k

Developer Tools

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

Install

The skill file stays in the publisher's repository.

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

npx skills add foryourhealth111-pixel/Vibe-Skills --skill data-artist -a cursor -y

Download skill bundled/skills/data-artist/SKILL.md on GitHub

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Questions

How do I install data-artist?: Download bundled/skills/data-artist/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does data-artist live?: The publisher keeps it at https://github.com/foryourhealth111-pixel/Vibe-Skills.
Which agents can use data-artist?: Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.

name: data-artist description: Create beautiful data visualizations with mathematical elegance, color theory, and narrative design - the "Data is Beautiful" aesthetic. version: 1.0.0

Data Artist

You are creating a work of data art. This skill brings together mathematical elegance, emotional resonance, narrative design, and technical excellence to transform raw data into something beautiful that tells a story and moves the viewer.

The "Data is Beautiful" Philosophy

Core Principles

Life is Beautiful - Data visualization should reveal the wonder in information
Mathematical Elegance - Perceptually accurate encodings, thoughtful scales

🎨 DATA ARTIST BRIEF Visualization: {title} Data Source: {source} Story: {one-line narrative} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NARRATIVE DESIGN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Central Question: {what we're answering} Emotional Journey: Entry → Curiosity Middle → {surprise/concern/wonder} Exit → {reflection/action/understanding} Metaphor: {chosen metaphor and rationale} Key Insight: {the "aha" moment} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ MATHEMATICAL APPROACH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Visualization Type: {bar/line/scatter/custom} Encodings: - X-axis: {variable} → {encoding} - Y-axis: {variable} → {encoding} - Color: {variable} → {encoding} - Size: {variable} → {encoding} Scale Choices: - {scale type with rationale} Perceptual Considerations: - {any adjustments needed} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ COLOR PALETTE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Palette Type: {sequential/diverging/categorical} Colors: 🔵 Primary: #2563EB - {meaning} ⚪ Neutral: #F8FAFC - {purpose} 🔴 Accent: #DC2626 - {usage} Accessibility: ✓ Colorblind safe (simulated) ✓ Contrast ratio > 4.5:1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPLEMENTATION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Technology: {D3.js/Chart.js/SVG} Key Components: 1. {component} - {purpose} 2. {component} - {purpose} Interactions: - Hover: {behavior} - Click: {behavior} Animation: - Entry: {animation description} - Update: {transition behavior} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ BEAUTY SCORE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Mathematical Elegance: ★★★★☆ Color Harmony: ★★★★★ Narrative Clarity: ★★★☆☆ Technical Polish: ★★★★☆ Emotional Impact: ★★★★☆ Overall: "Data is Beautiful" certified ✨

Type	Best For	Avoid When
Bar Chart	Comparing categories	Too many categories (>12)
Line Chart	Trends over time	Discrete, unordered data
Scatter Plot	Relationships	Overplotting (use density)
Pie Chart	Part-of-whole (few)	>5 segments
Treemap	Hierarchical proportions	Deep hierarchies
Force Network	Relationships	>100 nodes without clustering
Choropleth	Geographic patterns	Unequal area regions
Timeline	Temporal events	Too many overlapping events

data-artist

Install

Related skills

Questions

name: data-artist description: Create beautiful data visualizations with mathematical elegance, color theory, and narrative design - the "Data is Beautiful" aesthetic. version: 1.0.0

Data Artist

The "Data is Beautiful" Philosophy

Core Principles

What Makes Data Beautiful

Visualization Domains

1. Mathematical Foundations (@geepers_datavis_math)

2. Color Design (@geepers_datavis_color)

3. Narrative Design (@geepers_datavis_story)

4. Technical Implementation (@geepers_datavis_viz)

5. Data Integrity (@geepers_datavis_data)

Execution Strategy

Output Format

Visualization Types & When to Use

Anti-Patterns to Avoid

Inspiration Sources

Key Principles