Matplotlib
Generates static, interactive, and animated visualizations from Python code using Matplotlib, aiding in data exploration and presentation.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add matplotlib npx -- -y @trustedskills/matplotlib
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"matplotlib": {
"command": "npx",
"args": [
"-y",
"@trustedskills/matplotlib"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The matplotlib skill enables AI agents to generate visualizations using the Matplotlib library in Python. It allows for creating line plots, bar charts, scatter plots, and more, providing a powerful way to represent data graphically.
When to use it
- To visualize trends or patterns in numerical datasets.
- For generating reports that include graphical representations of findings.
- When presenting analysis results to stakeholders who prefer visual insights over raw numbers.
- To support exploratory data analysis by quickly plotting different aspects of the data.
Key capabilities
- Generating line plots, bar charts, and scatter plots
- Customizing plot appearance (colors, labels, titles)
- Saving generated figures in various formats (e.g., PNG, PDF)
Example prompts
- "Create a line plot showing sales trends over time."
- "Generate a bar chart comparing monthly website traffic."
- "Plot a scatter diagram to visualize the relationship between temperature and ice cream sales."
Tips & gotchas
- Ensure that your data is in a format compatible with Matplotlib (e.g., NumPy arrays or Pandas DataFrames).
- Be mindful of plot resolution and file size when saving figures for high-quality outputs.
Tags
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