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Skill

dataviz

design and validate data visualizations

Published by Qwen Updated Jul 16
Covers Dashboards Data Visualization Charts

Description

Design guidance for charts, graphs, dashboards, maps, and data visualizations, including a local palette validator.

SKILL.md

Dataviz

Use this skill before producing a chart, dashboard, map, or data visualization.

Workflow

  1. Identify the analytic task: comparison, trend, distribution, relationship, ranking, part-to-whole, geography, or status monitoring.
  2. Choose the simplest chart form that answers that task. Read references/choosing-a-form.md when the form is not obvious.
  3. Write the finding into the title, subtitle, axis label, or direct annotation. A viewer should know what changed, what is high or low, or what decision the chart supports.
  4. Pick colors from references/palette.md, or validate any custom palette with the script below.
  5. Check references/anti-patterns.md before finalizing the design.

Palette Validation

Resolve paths relative to the skill base directory shown above this skill body. Do not assume $QWEN_SKILL_ROOT is set for normal shell commands.

Run:

node <skill-base-directory>/scripts/validate_palette.js '#1d4ed8,#b45309,#166534' --mode light

Treat FAIL as a required palette change. Treat WARN as acceptable only when the chart also uses labels, shape, texture, ordering, or another secondary encoding.

Mark Rules

  • Use categorical palettes for unordered groups; use sequential or diverging ramps only for ordered values.
  • Prefer direct labels over legends when the chart has a small number of series.
  • Keep gridlines subtle and fewer than the data marks.
  • Avoid dual axes unless both series share a clearly explained transformation.
  • Do not rely on color alone for critical distinctions.
  • Keep dashboards scan-friendly: align cards, use consistent number formats, and reserve saturated color for important state changes.

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