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Webgl

Checked
martinholovsky·vlatest·other·Unlicense

This skill generates interactive WebGL-based visualizations from data, offering a dynamic way to explore and understand complex information.

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 martinholovsky/claude-skills-generator --skill webgl -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

martinholovsky

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 martinholovsky/claude-skills-generator at 1086ef2567.

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

Commit
1086ef2567
Manifest
skills/webgl/SKILL.md
Scanned
3 files, 655 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 create custom, GPU-accelerated visualizations and visual effects within the JARVIS AI Assistant HUD using WebGL. It specializes in developing shaders for holographic effects, post-processing (like bloom or glitch), particle systems with compute shaders, and real-time data visualization. The skill emphasizes security considerations and performance optimization when working directly with the GPU.

When to use it

  • Creating custom holographic visual elements within the AI assistant interface.
  • Implementing post-processing effects like bloom or glitch for a specific aesthetic.
  • Generating dynamic particle systems, potentially leveraging compute shaders.
  • Visualizing real-time data in an interactive and engaging way.

Key capabilities

  • Custom shader development
  • GPU-accelerated rendering
  • Post-processing effect implementation (bloom, glitch)
  • Particle system creation with compute shaders
  • Real-time data visualization
  • Safe shader compilation with error handling
  • Context management and graceful fallback strategies when WebGL is not supported.

Example prompts

  • "Create a holographic display of the current network traffic."
  • "Add a bloom post-processing effect to the main HUD elements."
  • "Generate a particle system that reacts to audio input."

Tips & gotchas

  • This skill requires WebGL 2.0 support in the browser (Chrome 56+, Firefox 51+, Safari 15+, Edge 79+).
  • Direct GPU access carries inherent risks; resource exhaustion and driver vulnerabilities are potential concerns, so performance budgets and timeout mechanisms are important.
  • The skill follows a "Test-Driven Development" approach – tests should be written before implementation.