Select the right Python charting library (seaborn, matplotlib, graphviz) and produce publication-quality static visualizations. Use when creating charts, plots, graphs, diagrams, heatmaps, visualizations from data, or when choosing between matplotlib/seaborn/graphviz. Also triggers for network diagrams, flowcharts, dependency trees, state machines, and entity-relationship diagrams. For interactive browser-rendered charts or uploaded data exploration, defer to charting-vega-lite instead.
How to install charting?
oaustegard/claude-skills/charting
$npx -y skills add oaustegard/claude-skills --skill chartingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/oaustegard/claude-skills" --skill "oaustegard/claude-skills/charting"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/oaustegard/claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/oaustegard/claude-skills"` and select the relevant skills, then follow their instructions.
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