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visualization-best-practices

visualization-best-practices

Review chart choice, labeling, accessibility, and storytelling quality for existing visualizations. Use as an explicit/manual helper for critique and cleanup, not as the main owner for scientific figure production or general chart generation.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: visualization-best-practices description: | Review chart choice, labeling, accessibility, and storytelling quality for existing visualizations. Use as an explicit/manual helper for critique and cleanup, not as the main owner for scientific figure production or general chart generation. allowed-tools: Read, Write, Edit, Bash, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Visualization Best Practices

Positioning

Treat this skill as an explicit/manual review helper.

When to Use

Use this skill when:

  • Reviewing whether an existing chart communicates clearly
  • Fixing labels, legends, scales, color choices, or accessibility issues
  • Deciding how to simplify a crowded dashboard or figure draft

Not For / Boundaries

  • Creating the chart from raw data: use creating-data-visualizations
  • Journal-ready, multi-panel, publication submission figures: use scientific-visualization
  • Schematics, flowcharts, or mechanism diagrams: use scientific-schematics

Typical Outputs

  • Critique of the current visualization problems
  • Concrete fixes for encodings, layout, and readability
  • A short checklist for accessibility and audience fit

Related Skills

  • creating-data-visualizations for general chart production
  • scientific-visualization when the figure must meet publication standards
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