plotly

npx skills add sickn33/agentic-awesome-skills --skill plotly --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# 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: ```bash uv pip install plotly ``` Basic usage with Plotly Express (high-level API): ```python import plotly.express as px import pandas as pd df = pd.DataFrame({ 'x': [1, 2, 3, 4], 'y': [10, 11, 12, 13] }) fig = px.scatter(df, x='x', y='y', title='My First Plot') fig.show() ``` ## 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,

uv pip install plotly
uv pip install kaleido
uv pip install dash