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Data Visualizer

Checked
daffy0208·vlatest·data·MIT

Transforms raw datasets into clear charts and graphs for quick insights and easy understanding.

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 daffy0208/ai-dev-standards --skill data-visualizer -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

daffy0208

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 daffy0208/ai-dev-standards at 32c3241e48.

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

Commit
32c3241e48
Manifest
skills/data-visualizer/SKILL.md
Scanned
3 files, 920 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

The data-visualizer skill enables AI agents to generate visual representations of data, such as charts and graphs, from structured datasets. It supports a variety of input formats including CSV, JSON, and SQL query results, making it useful for quickly transforming raw data into actionable insights.

When to use it

  • To create interactive dashboards for business analytics using real-time data inputs.
  • When preparing reports that require visual summaries of large datasets.
  • During data exploration phases in machine learning projects to identify trends and outliers.

Key capabilities

  • Supports multiple input formats: CSV, JSON, SQL query results.
  • Generates common chart types like bar charts, line graphs, pie charts, and scatter plots.
  • Allows customization of visual elements such as colors, labels, and axes.

Example prompts

  • "Generate a bar chart from the sales data in this CSV file."
  • "Create a line graph showing user growth over time using the JSON dataset provided."
  • "Visualize the distribution of ages in the database with a histogram."

Tips & gotchas

  • Ensure your input data is clean and properly formatted for accurate visualization.
  • Some advanced customization options may require additional parameters or scripting support.