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Data Visualization

Checked
dylantarre·vlatest·data·MIT

Transforms complex datasets into clear, interactive charts and graphs for enhanced understanding and insights.

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 dylantarre/animation-principles --skill data-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

dylantarre

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned dylantarre/animation-principles at 83597134ba.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
83597134ba
Manifest
skills/01-by-domain/data-visualization/SKILL.md
Scanned
1 file, 93 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to generate dynamic, animated data visualizations that bring static datasets to life. It transforms raw numbers into engaging motion graphics to highlight trends and patterns effectively.

When to use it

  • Presenting quarterly sales reports where movement emphasizes growth trajectories.
  • Explaining complex time-series data like stock market fluctuations or weather patterns.
  • Creating interactive dashboards for live event monitoring or real-time sensor feeds.
  • Simplifying dense statistical summaries for non-technical stakeholders.

Key capabilities

  • Generates animated visualizations from provided datasets.
  • Applies animation principles to enhance data storytelling.
  • Supports dynamic rendering of trends and comparative metrics.

Example prompts

  • "Create an animated line chart showing the rise in global temperatures over the last decade."
  • "Visualize our Q3 revenue breakdown with dynamic bars that highlight top-performing regions."
  • "Generate a motion graphic comparing user engagement metrics across three different app versions."

Tips & gotchas

Ensure your input data is clean and structured before requesting visualization, as animation relies on clear trend identification. While the skill excels at highlighting trends, it may not be suitable for displaying precise static values where pixel-perfect accuracy is required over visual impact.