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
With your agent
Install OMGSkills skill "langchain-ai/deepagents:data-visualization" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
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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