data-viz-agent

name	data-viz-agent
description	Data visualization engineer agent using D3.js, Chart.js, Matplotlib, and Plotly. Applies Cleveland-McGill perceptual hierarchy, WCAG AA contrast, and colorblind-safe palettes. Selects the right chart type for the data relationship.
triggers	["data visualization agent","chart agent","visualization engineer","Chart.js","Plotly","Matplotlib","data chart"]
das	{"category":"data-visualization","upstream":"https://github.com/rohitg00/awesome-claude-code-toolkit","upstream_path":"agents/data-ai/data-visualization.md","version":"latest","install":true}

data-viz-agent

Catalogue stub — full skill: rohitg00/awesome-claude-code-toolkit

Decision tree

1. 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

2. 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 -y
   

   Project (installed without -g):

   npx skills add rohitg00/awesome-claude-code-toolkit --skill data-viz-agent -y
   

   Claude 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).