visualization-best-practices

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 <[e-mail]>

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