Data Viz 2025

What it does

This skill enables AI agents to generate, customize, and export professional-grade visualizations directly from code. It supports a wide array of chart types including bar, line, scatter, and heatmaps, allowing for dynamic data storytelling without manual design work.

When to use it

• Transforming raw CSV or JSON datasets into interactive dashboards for stakeholder presentations.
• Automating the creation of trend analysis reports that update automatically as new data arrives.
• Generating publication-ready graphics with specific styling constraints (colors, fonts, labels).
• Visualizing complex relationships in multidimensional data through scatter plots and correlation matrices.

Key capabilities

• Chart Variety: Supports bar, line, area, scatter, box, violin, heatmaps, histograms, and pie charts.
• Customization: Fine-tune aesthetics including colors, titles, axis labels, gridlines, and tooltips.
• Export Options: Generate output in multiple formats such as PNG, SVG, PDF, and HTML for web embedding.
• Data Handling: Process structured data inputs to map fields automatically to chart components.

Example prompts

• "Create a line chart showing monthly sales revenue over the last year with a secondary axis for profit margins."
• "Generate a heatmap visualizing customer satisfaction scores across different regions and product categories."
• "Export a scatter plot of user engagement metrics as an SVG file with custom color themes."

Tips & gotchas

Ensure your input data is clean and properly formatted, as malformed columns can break chart generation. For best results, explicitly specify the desired output format (e.g., PNG vs. SVG) depending on whether you need scalability for print or quick sharing for web use.