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Webgpu Threejs Tsl

Checked
dgreenheck·vlatest·frontend

This skill enables rapid prototyping of interactive 3D web applications using WebGPU, ThreeJS, and TypeScript for efficient rendering.

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 dgreenheck/webgpu-claude-skill --skill webgpu-threejs-tsl -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

dgreenheck

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 dgreenheck/webgpu-claude-skill at af2319bd01.

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

Commit
af2319bd01
Manifest
skills/webgpu-threejs-tsl/SKILL.md
Scanned
16 files, 4,541 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 render high-performance 3D graphics in web browsers using the WebGPU API via Three.js. It allows for hardware-accelerated rendering of complex scenes, shaders, and geometries directly within the agent's execution environment.

When to use it

  • Visualizing real-time physics simulations or particle systems that require low-latency GPU processing.
  • Rendering interactive 3D models or architectural walkthroughs for user interface components.
  • Generating photorealistic lighting effects and shadows that standard WebGL implementations cannot handle efficiently.
  • Creating animated data visualizations where large datasets need to be processed on the graphics card.

Key capabilities

  • Direct integration with the WebGPU API for next-generation graphics performance.
  • Utilization of Three.js libraries to simplify scene graph management and material creation.
  • Support for advanced shader programming (WGSL) within the browser context.
  • Efficient handling of large-scale geometry and texture mapping.

Example prompts

  • "Create a rotating 3D terrain model with dynamic lighting using WebGPU and Three.js."
  • "Generate a particle system visualization representing network traffic flow in real-time."
  • "Render a simple cube scene with custom shaders to demonstrate GPU acceleration capabilities."

Tips & gotchas

Ensure the target browser environment supports WebGPU before attempting to execute rendering tasks, as compatibility is still emerging. Performance will vary significantly depending on the user's hardware; test scenes on multiple devices to verify stability.