plotly

Generate interactive web-embeddable visualizations with the Plotly Python library.

Updated Feb 1, 2026

Search Tags:#dashboards #charts #interactive #visualization #data-analysis #plotting

Ready to run

npx skills add https://github.com/nferrer-dev/claude-dotfiles --skill plotly-nferrer-dev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/nferrer-dev/claude-dotfiles/tree/main/skills/plotly
Command: npx skills add https://github.com/nferrer-dev/claude-dotfiles --skill plotly-nferrer-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the limitation of static charts by providing a powerful interface for generating interactive, web-embeddable visualizations that allow users to explore data through zooming, panning, and hover-tooltips.

Core Features & Use Cases

Interactive Exploration: Build charts that support hover-data, legend toggling, and range sliders for time-series analysis.
Multi-API Flexibility: Use Plotly Express for rapid prototyping of standard charts or Graph Objects for highly customized, complex multi-trace figures.
Use Case: A financial analyst can use this skill to create a dashboard with synchronized subplots, allowing them to compare stock price trends alongside volume data with interactive range selectors.

Quick Start

Use the plotly skill to generate an interactive scatter plot from the dataframe df with x as the date column and y as the price column.

Frequently Asked Questions about plotly

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

FAQPage Schema

How do I create interactive charts for exploratory data analysis?▼

Interactive charts for exploratory data analysis are generated using the Plotly Python library, supporting hover-data, legend toggling, and zooming to investigate data points dynamically. It handles statistical, financial, 3D, and geographic map visualizations for comprehensive data exploration.

Can I export interactive visualizations as static images or web-ready HTML?▼

Interactive visualizations can be exported as web-embeddable HTML output for browser-based dashboards or as static image files using the kaleido dependency. This satisfies requirements for both online sharing and publication-quality rendering.

Does Plotly Express work for rapid chart prototyping alongside complex multi-trace figures?▼

Plotly Express enables rapid prototyping of standard charts, while Graph Objects provide the flexibility needed for highly customized, complex multi-trace figure construction. This multi-API approach supports both quick analysis and detailed dashboard development.

What is the best way to build financial dashboards with synchronized subplots?▼

Financial dashboards with synchronized subplots are built by constructing complex multi-trace figures, allowing analysts to compare trends like stock prices and volume data interactively using range selectors and sliders.

Do I need Dash to build interactive web dashboards with these visualizations?▼

Dash is included as a dependency to support building interactive web dashboards, while the visualizations themselves can also be output directly as standalone web-embeddable HTML files for immediate browser viewing without a full application framework.