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visualization-best-practices

Review existing charts for clear communication, appropriate chart types, readable labels, scales, and color choices. Get concrete suggestions for simplifying layouts, improving accessibility, and making the visualization suit its intended audience.

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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.

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适用场景

  • Reviewing whether an existing chart communicates clearly
  • Fixing chart labels, legends, and scales
  • Checking colors and accessibility
  • Simplifying a crowded dashboard

包含的文件(1)

  • SKILL.md1.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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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