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 figu
SKILL.mdbundled/skills/visualization-best-practices/SKILL.md
GitHubVisualization 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-visualizationsfor general chart productionscientific-visualizationwhen the figure must meet publication standards