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Data Visualization

Checked
aj-geddes·vlatest·data·MIT

Generates clear, insightful charts and graphs from datasets to reveal trends and patterns quickly.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it Data Visualization, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/data-visualization/SKILL.md
Scanned
3 files, 378 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 and interpret data visualizations, transforming raw datasets into clear charts and graphs. It supports various visualization types including bar, line, scatter, and pie charts to reveal patterns within complex information.

When to use it

  • You need to quickly summarize trends in sales or financial data without writing code.
  • You want to create a dashboard layout for a presentation based on CSV input.
  • You are analyzing survey results and need immediate visual feedback on respondent distributions.
  • You require a simple chart to explain a dataset to non-technical stakeholders.

Key capabilities

  • Generates multiple chart types (bar, line, scatter, pie) from text descriptions or data files.
  • Interprets raw numerical data to suggest the most appropriate visualization method.
  • Outputs visualizations in formats suitable for reports, slides, or web embedding.
  • Handles data cleaning and formatting automatically before plotting.

Example prompts

  • "Create a line chart showing monthly revenue growth for the last year using this CSV file."
  • "Generate a pie chart to visualize the market share distribution of our top five competitors."
  • "Plot a scatter plot comparing customer age against purchase frequency to identify trends."

Tips & gotchas

Ensure your data is clean and properly formatted (e.g., valid CSV or JSON) before requesting a visualization, as malformed inputs can lead to errors. Specify the desired chart type explicitly if you have a particular visual style in mind for better results.