data-visualization
Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.
Install
git clone https://github.com/langchain-ai/deepagents /tmp/deepagents && ln -s /tmp/deepagents/examples/nvidia_deep_agent/skills/data-visualization ~/.claude/skills/data-visualizationFrom README
Data Visualization Skill Create publication-quality analytical charts using matplotlib and seaborn in a headless GPU sandbox. Charts are saved as PNG files to /workspace/ for retrieval. When to Use This Skill Use this skill when: Visualizing results from cuDF analysis or cuML models Creating charts (bar, line, scatter, heatmap, histogram, box plot) Building multi-panel analysis summaries The user asks for visual output, plots, graphs, or charts Presenting statistical findings with figures Initialization (REQUIRED) MUST call matplotlib.use('Agg') BEFORE importing pyplot. This enables headless rendering.
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