Agent skill · design visual · sickn33
plotly
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.
Why this skill is useful
Provides domain-specific knowledge on interactive visualization techniques and usage patterns that the AI wouldn't reliably generate on its own.
What it needs
Requires plotly installed locally. About 4k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Plotly Python graphing library for creating interactive, publication-quality visualizations with 40+ chart types. When to Use You need interactive charts with hover, zoom, pan, or web embedding. You are building dashboards, exploratory analysis notebooks, or presentations that benefit from rich interaction. You want to choose between Plotly Express and Graph Objects for the same visualization task. 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/plotly--7f151e