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plotly

Generate interactive scientific and statistical data visualizations with Python Plotly.

Updated Jan 10, 2026
Search Tags:#dashboards#charts#data analysis#visualization#plotly#interactive plots
One-click install
npx skills add https://github.com/robinbarvaag/poynt --skill plotly-robinbarvaag
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/robinbarvaag/poynt/tree/main/.github/skills/plotly
Command: npx skills add https://github.com/robinbarvaag/poynt --skill plotly-robinbarvaag

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires plotly, pandas, kaleido, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers users to create a wide range of interactive and publication-quality data visualizations, transforming raw data into insightful charts and dashboards.

Core Features & Use Cases

  • Versatile Charting: Supports over 40 chart types, from basic scatter plots to complex 3D surfaces and geographic maps.
  • Interactive Outputs: Generates interactive HTML files or static images (PNG, PDF, SVG) for easy sharing and integration.
  • Use Case: Visualize sales data over time with interactive line charts, create a dashboard of key performance indicators, or generate a heatmap to show correlations in a dataset.

Quick Start

Use the plotly skill to create a scatter plot from the provided dataframe with 'x' on the x-axis and 'y' on the y-axis.

Frequently Asked Questions about plotly

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create interactive data visualizations from a Python dataframe?▼

Generate interactive visualizations by passing your dataframe to Plotly Express for quick charts or using Graph Objects for fine-grained customization. This skill outputs interactive HTML files or static images like PNG, PDF, and SVG.

What types of charts can I generate for data analysis?▼

This visualization skill supports over 40 chart types, ranging from basic scatter plots and line charts to complex 3D surfaces, heatmaps, geographic maps, statistical distributions, and financial charts for comprehensive data analysis.

Can I export interactive plots as static image files like PNG or PDF?▼

Yes, you can export interactive plots as static image files. Using the kaleido dependency, this skill generates static publication-quality outputs in PNG, PDF, and SVG formats for easy sharing and integration into reports.

Does this visualization skill require pandas to generate charts?▼

Yes, pandas is a required dependency alongside plotly and kaleido. The skill processes pandas dataframes as the primary input format to generate both quick Plotly Express charts and customized Graph Objects visualizations.

What is the best way to build a dashboard with key performance indicators?▼

The best way to build a dashboard is by utilizing the supported chart types to visualize key performance indicators. This skill transforms raw data into insightful interactive HTML charts and dashboards suitable for comprehensive data analysis.

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