Agent skill · design visual · aiskillstore
plotly
Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).
Why this skill is useful
Provides domain-specific knowledge on creating interactive visualizations with Plotly that the AI wouldn't reliably generate on its own.
What it needs
Requires plotly installed locally. About 3k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Plotly Python graphing library for creating interactive, publication-quality visualizations with 40+ chart types. Quick Start Install Plotly: Basic usage with Plotly Express (high-level API): Choosing Between APIs Use Plotly Express (px) For quick, standard visualizations with sensible defaults: Working with pandas DataFrames Creating common chart types (scatter, line, bar, histogram, etc.) Need automatic color encoding and legends Want minimal code (1-5 lines) See reference/plotly-express.md for complete guide. Use Graph Objects (go) For fine-grained control and custom visualizations: Chart types not in Plotly Express (3D mesh, isosurface, complex financial charts) Building complex multi-trace figures from scratch Need precise control over individual components Creating specialized visualizations with custom shapes and annotations See reference/graph-objects.md for complete guide. Note: Plotly Express returns graph objects Figure, so you can combine approaches: Core Capabilities 1. Chart Types Plotly supports 40+ chart types organized into categories: Basic Charts: scatter, line, bar, pie, area, bubble Statistical Charts: histogram, box plot, violin, distribution, error bars Scientific Charts: heatmap, contour, ternary, image display Financial Charts: candlestick, OHLC, waterfall, funnel, time series Maps: scatter maps, choropleth, density maps (geographic visualization) 3D Charts: scatter3d, surface, mesh, cone, volume Specialized: sunburst, treemap, sankey, parallel coordinates, gauge For detailed examples and usage of all chart types, see reference/chart-types.md. 2. Layouts and Styling Subplots: Create multi-plot figures with shared axes: Templates: Apply coordinated styling: Customization: Control every aspect of appearance: Colors (discrete sequences, continuous scales) Fonts and text Axes (ranges, ticks, grids) Legends Margins and sizing Annotations and shapes For complete layout and styling options, see reference/layouts-styling.md. 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/plotly