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Data Viz 2025

Checked
erichowens·vlatest·data·MIT

Generates interactive, future-forward data visualizations (charts, dashboards) predicting trends based on 2025 datasets.

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 curiositech/some_claude_skills --skill data-viz-2025 -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

erichowens

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 erichowens/some_claude_skills at 6713fc7a64.

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

Commit
6713fc7a64
Manifest
.claude/skills/data-viz-2025/SKILL.md
Scanned
1 file, 493 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, customize, and export professional-grade visualizations directly from code. It supports a wide array of chart types including bar, line, scatter, and heatmaps, allowing for dynamic data storytelling without manual design work.

When to use it

  • Transforming raw CSV or JSON datasets into interactive dashboards for stakeholder presentations.
  • Automating the creation of trend analysis reports that update automatically as new data arrives.
  • Generating publication-ready graphics with specific styling constraints (colors, fonts, labels).
  • Visualizing complex relationships in multidimensional data through scatter plots and correlation matrices.

Key capabilities

  • Chart Variety: Supports bar, line, area, scatter, box, violin, heatmaps, histograms, and pie charts.
  • Customization: Fine-tune aesthetics including colors, titles, axis labels, gridlines, and tooltips.
  • Export Options: Generate output in multiple formats such as PNG, SVG, PDF, and HTML for web embedding.
  • Data Handling: Process structured data inputs to map fields automatically to chart components.

Example prompts

  • "Create a line chart showing monthly sales revenue over the last year with a secondary axis for profit margins."
  • "Generate a heatmap visualizing customer satisfaction scores across different regions and product categories."
  • "Export a scatter plot of user engagement metrics as an SVG file with custom color themes."

Tips & gotchas

Ensure your input data is clean and properly formatted, as malformed columns can break chart generation. For best results, explicitly specify the desired output format (e.g., PNG vs. SVG) depending on whether you need scalability for print or quick sharing for web use.