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D3 Viz

Checked
davila7·vlatest·frontend·MIT

D3 Viz generates interactive D3.js visualizations from data, streamlining dashboard creation and insightful data exploration.

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 davila7/claude-code-templates --skill d3-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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/creative-design/claude-d3js-skill/SKILL.md
Scanned
7 files, 3,018 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 render interactive data visualizations using D3.js within frontend projects. It allows developers to create dynamic charts, graphs, and maps directly from code or natural language descriptions without manual implementation.

When to use it

  • You need to visualize complex datasets like sales trends, user metrics, or geographic distributions in a web application.
  • Your team wants to prototype data-heavy dashboards quickly using AI assistance rather than writing raw D3 boilerplate.
  • You are building an analytics tool where interactivity (zooming, filtering) is required for end-users.
  • You need consistent styling and responsive layouts for charts across different screen sizes.

Key capabilities

  • Generates production-ready D3.js code for various chart types (bar, line, pie, scatter).
  • Handles data binding and scaling automatically based on input datasets.
  • Creates interactive elements such as tooltips, axes, and legends.
  • Integrates seamlessly into existing React or vanilla JavaScript frontend environments.

Example prompts

"Create a responsive line chart showing monthly revenue growth using the last 12 months of sales data." "Build an interactive scatter plot comparing user age against subscription tier with color-coded categories." "Generate a D3.js pie chart visualizing market share distribution for our top five competitors."

Tips & gotchas

Ensure your input data is clean and properly formatted (e.g., arrays of objects or CSV strings) before requesting visualization code. While the skill generates robust D3 code, verify that external libraries like d3-selection are installed in your project dependencies if not already included by the template.