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Algorithmic Art

Checked
davila7·vlatest·frontend·MIT

Generates unique, visually stunning artwork procedurally using algorithms – perfect for creative projects and dynamic visuals.

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 algorithmic-art -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.

Scanned
4 files, 618 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

The davila7-algorithmic-art skill enables AI agents to generate visual patterns and abstract designs using mathematical logic. It translates code-based algorithms into dynamic, aesthetically pleasing graphics suitable for web interfaces or creative projects.

When to use it

  • Creating unique background textures for landing pages without external image assets.
  • Generating procedural geometric shapes for data visualization dashboards.
  • Producing animated particle systems for interactive storytelling elements.
  • Developing custom fractal patterns for branding materials or digital art portfolios.

Key capabilities

  • Converts mathematical formulas into rendered visual outputs.
  • Supports dynamic parameter adjustment for real-time design iteration.
  • Generates self-contained code artifacts ready for frontend integration.
  • Creates complex geometric structures through recursive logic.

Example prompts

"Generate a flowing gradient pattern using sine wave algorithms for a hero section background." "Create a set of rotating geometric shapes based on Fibonacci sequences for a loading screen." "Produce an abstract fractal tree structure with randomized branch colors for a digital art piece."

Tips & gotchas

Ensure your AI agent has access to rendering libraries or canvas APIs to display the generated visuals. Adjust complexity parameters carefully, as highly intricate algorithms may impact performance on lower-end devices.