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.
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# 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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