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Data Viz

Checked
jinfanzheng·vlatest·data·MIT

Generates clear, insightful charts and graphs from data 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.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jinfanzheng/kode-sdk-csharp --skill data-viz -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

jinfanzheng

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 jinfanzheng/kode-sdk-csharp at 8531dbdfa5.

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

Commit
8531dbdfa5
Manifest
examples/Kode.Agent.WebApiAssistant/skills/data-viz/SKILL.md
Scanned
7 files, 1,330 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 generates visualizations from data. It can create various chart types to help users understand trends and patterns in datasets. The generated visuals are intended to be easily interpretable and insightful, supporting informed decision-making based on the underlying data.

When to use it

  • Analyze sales figures over time to identify peak seasons or declining trends.
  • Compare performance metrics across different teams or products using bar charts.
  • Visualize survey results with pie charts to understand distribution of responses.
  • Create scatter plots to explore correlations between two variables in a dataset.

Key capabilities

  • Chart generation
  • Data interpretation
  • Trend identification
  • Pattern recognition

Example prompts

  • "Generate a bar chart showing sales by region."
  • "Can you create a pie chart of customer satisfaction scores?"
  • "Visualize the correlation between advertising spend and website traffic with a scatter plot."

Tips & gotchas

The quality of the visualization depends heavily on the structure and clarity of the input data. Ensure your data is well-formatted for optimal results.