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Plotly

Listed
davila7·vlatest·data·MIT

Generates interactive charts and visualizations using Plotly, enabling data exploration and insightful presentation of your information.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill plotly -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

What it does

The Plotly skill enables AI agents to generate interactive visualizations such as charts, graphs, and dashboards using the Plotly library. It supports a wide range of data formats and provides tools for customizing appearance, interactivity, and layout.

When to use it

  • To create dynamic visualizations for data analysis reports.
  • For generating real-time dashboards in web applications.
  • When presenting complex datasets with interactive features like zooming or hovering.
  • To visualize trends, correlations, and patterns in scientific research or business analytics.

Key capabilities

  • Interactive chart creation (line, bar, scatter, etc.)
  • Support for multiple data formats (CSV, JSON, Pandas DataFrames)
  • Customization of layout, colors, and annotations
  • Integration with web frameworks like Dash

Example prompts

  • "Generate an interactive line chart showing monthly sales trends."
  • "Create a scatter plot comparing temperature and humidity data from the last year."
  • "Build a dashboard with multiple charts to visualize user engagement metrics."

Tips & gotchas

  • Ensure your environment has Plotly installed before using this skill.
  • For large datasets, optimize performance by reducing the number of points or using sampling techniques.