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Scientific Visualization

Listed
davila7·vlatest·data·MIT

Generates compelling charts & graphs from data to reveal insights and communicate complex scientific findings effectively.

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 scientific-visualization -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.

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Automated safety checks

scanned

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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 scientific-visualization skill enables AI agents to generate visual representations of complex data sets, such as graphs, charts, and 3D models. It supports a wide range of formats including matplotlib plots, scatterplots, heatmaps, and interactive dashboards for enhanced data interpretation.

When to use it

  • To present research findings in an intuitive format during academic or scientific presentations.
  • For creating visual summaries of large datasets that are difficult to interpret in raw form.
  • When developing dashboards for real-time monitoring of scientific experiments or simulations.
  • To support data-driven decision-making by transforming abstract numbers into actionable insights.

Key capabilities

  • Generation of 2D and 3D plots using libraries like matplotlib, seaborn, and plotly.
  • Creation of interactive visualizations suitable for web-based dashboards.
  • Exporting visual outputs in multiple formats such as PNG, SVG, or PDF.
  • Customization of color schemes, labels, and annotations to meet specific presentation needs.

Example prompts

  • "Generate a scatterplot showing the correlation between temperature and pressure from this dataset."
  • "Create an interactive 3D surface plot using the provided matrix data."
  • "Design a heatmap that visualizes gene expression levels across different samples."

Tips & gotchas

Ensure your data is properly formatted and clean before generating visualizations to avoid errors. Some advanced features may require specific libraries or dependencies, so verify compatibility with your environment.