About data-viz-agent
data-viz-agent is a data visualization engineering skill for charting across D3.js, Chart.js, Matplotlib, and Plotly. It selects chart types based on data relationships and applies perceptual accuracy and accessibility considerations.
Key features
- 01Visualization across four charting libraries
- 02Chart selection based on data relationships
- 03Cleveland-McGill perceptual accuracy hierarchy
- 04WCAG AA contrast checks
- 05Colorblind-safe palettes by default
Use cases
- 01Choose charts for comparisons or distributions
- 02Visualize data relationships in charts
- 03Create accessible visualizations with colorblind-safe colors
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ podo/ design-agent-skills --skill data-viz-agentAfter installing, type/data-viz-agentin Claude Code to confirm it loaded.
Bundled filesstub.yaml
Details
From the project READMEdata-viz-agent
Catalogue stub — full skill: rohitg00/awesome-claude-code-toolkit
Decision tree
-
Is the full skill already installed? Check whether the skill at this location still has a
das:block:- Global:
grep -q "^das:" ~/.agents/skills/data-viz-agent/SKILL.md 2>/dev/null && echo "pointer" || echo "installed" - Project:
grep -q "^das:" .agents/skills/data-viz-agent/SKILL.md 2>/dev/null && echo "pointer" || echo "installed" - No
das:block → full skill installed, invoke it and proceed das:block present → go to step 2
- Global:
-
Detect scope, then install:
To detect scope:
[ -e ~/.agents/skills/data-viz-agent ] && echo "global" || echo "project"Global (installed with
-g):npx skills add rohitg00/awesome-claude-code-toolkit --skill data-viz-agent -g -yProject (installed without
-g):npx skills add rohitg00/awesome-claude-code-toolkit --skill data-viz-agent -yClaude Code: send either command as a chat message starting with
!to run it without leaving the conversation.
Invoke after install
- Skill name:
data-viz-agent - Trigger phrases: "data visualization agent", "Chart.js", "Plotly", "Matplotlib", "data chart"
What it does
Full data visualization engineering agent that works across D3.js, Chart.js, Matplotlib, and Plotly. Applies the Cleveland-McGill perceptual accuracy hierarchy to choose chart types, enforces WCAG AA contrast for accessibility, uses colorblind-safe palettes by default, and selects the right visualization for the underlying data relationship (comparison, distribution, composition, relationship).