data-viz
ryanthedev/design-for-ai / skills/data-viz
guides you to the right chart and accessible colors , which improves: true data, no misleading effect
Details
- judge’s score
- 7/10
- place
- outside the packs
- publisher
- ryanthedev
- status
- new
- pinned commit
- 37d7ae6 on GitHub (new tab)
- skill’s last commit
- Jun 30, 2026
- repo stars
- 315
- main type
- Data
Judgement
Very precise description of when to use it and what is excluded. Principles Claude already knows (Tufte, Cairo, Knaflic), little proprietary know-how. Concrete procedure but hard to test. Annexes truncated.
reservations
- Annexes references/chart-selection.md and viz-principles.md truncated when read: the rest could not be verified.
- Refers to modes from other skills (core color, core audit, usability, content-design) that are not included in the delivery.
- No license: use and redistribution are legally uncertain.
- Mostly principles Claude already knows; book citations cannot be verified here, and the "Stay generative" rule stays vague.
- Triggering
- 2/2
- Added value
- 1/2
- Precision
- 1/2
- Scope
- 2/2
- Quality
- 1/2
Alerts
no alerts
Neither the static scan nor the judge flagged a risk for this skill.
Original description
Applies data visualization and information design principles to encode data truthfully and efficiently. Use when the question is about charts or graphs — chart type selection (bar, line, scatter, heatmap, small multiples), data-ink ratio and chartjunk reduction (Tufte VDQI), preattentive attributes …
added on Oct 19, 2026 · license not specified