·plotly
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plotly

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tondevrel/scientific-agent-skillsGitHub: tondevrel/scientific-agent-skillsSource: tondevrel/scientific-agent-skills

A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.

tondevrel·plotly
7Installs·1Trend·@tondevrel

Installation

GitHub: tondevrel/scientific-agent-skills
$npx skills add https://github.com/tondevrel/scientific-agent-skills --skill plotly

How to Install plotly

Quickly install plotly AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill plotly
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: tondevrel/scientific-agent-skills.

SKILL.md

View raw

Plotly provides a wide range of interactive charts. Its "Plotly Express" API is designed for speed and ease of use with tidy DataFrames, while "Graph Objects" offers low-level control over every trace and attribute.

Official docs: https://plotly.com/python/ Plotly Express: https://plotly.com/python/plotly-express/ Search patterns: px.scatter, go.Figure, fig.updatelayout, fig.writehtml, px.choropleth

| Feature | Plotly Express (px) | Graph Objects (go) |

A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash. Source: tondevrel/scientific-agent-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/tondevrel/scientific-agent-skills --skill plotly
Source
tondevrel/scientific-agent-skills
Category
{}Data Analysis
Verified
✓
First Seen
2026-02-25
Updated
2026-03-10
URL
https://www.learn-skills.dev/en/skills/tondevrel/scientific-agent-skills/plotly

Browse more skills from tondevrel/scientific-agent-skills

Quick answers

What is plotly?

A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash. Source: tondevrel/scientific-agent-skills.

How do I install plotly?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill plotly Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/tondevrel/scientific-agent-skills

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-02-25

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