TSL (Three.js Shading Language) is a node-based shader abstraction that lets you write GPU shaders in JavaScript instead of GLSL/WGSL strings.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwebgpu-threejs-tslExecute the skills CLI command in your project's root directory to begin installation:
Fetches webgpu-threejs-tsl from dgreenheck/webgpu-claude-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate webgpu-threejs-tsl. Access via /webgpu-threejs-tsl in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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TSL (Three.js Shading Language) is a node-based shader abstraction that lets you write GPU shaders in JavaScript instead of GLSL/WGSL strings.
import * as THREE from 'three/webgpu';
import { color, time, oscSine } from 'three/tsl';
const renderer = new THREE.WebGPURenderer();
await renderer.init();
const material = new THREE.MeshStandardNodeMaterial();
material.colorNode = color(0xff0000).mul(oscSine(time));
docs/core-concepts.md - Types, operators, uniforms, control flowdocs/materials.md - Node materials and all propertiesdocs/compute-shaders.md - GPU compute with instanced arraysdocs/post-processing.md - Built-in and custom effectsdocs/wgsl-integration.md - Custom WGSL functionsdocs/device-loss.md - Handling GPU device loss and recoverydocs/limits-and-features.md - WebGPU device limits and optional featuresexamples/basic-setup.js - Minimal WebGPU projectexamples/custom-material.js - Custom shader materialexamples/particle-system.js - GPU compute particlesexamples/post-processing.js - Effect pipelineexamples/earth-shader.js - Complete Earth with atmospheretemplates/webgpu-project.js - Starter project templatetemplates/compute-shader.js - Compute shader templateREFERENCE.md - Quick reference cheatsheet// Always use the WebGPU entry point
import * as THREE from 'three/webgpu';
import { /* TSL functions */ } from 'three/tsl';
Replace standard material properties with TSL nodes:
material.colorNode = texture(map); // instead of material.map
material.roughnessNode = float(0.5); // instead of material.roughness
material.positionNode = displaced; // vertex displacement
TSL uses method chaining for operations:
// Instead of: sin(time * 2.0 + offset) * 0.5 + 0.5
time.mul(2.0).add(offset).sin().mul(0.5).add(0.5)
Use Fn() for reusable shader logic:
const fresnel = Fn(([power = 2.0]) => {
const nDotV = normalWorld.dot(viewDir).saturate();
return float(1.0).sub(nDotV).pow(power);
});
webgpu_)Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
jezweb/claude-skills
I recommend webgpu-threejs-tsl for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
webgpu-threejs-tsl has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: webgpu-threejs-tsl is the kind of skill you can hand to a new teammate without a long onboarding doc.
webgpu-threejs-tsl reduced setup friction for our internal harness; good balance of opinion and flexibility.
webgpu-threejs-tsl is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
webgpu-threejs-tsl has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: webgpu-threejs-tsl is focused, and the summary matches what you get after install.
Useful defaults in webgpu-threejs-tsl — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
webgpu-threejs-tsl reduced setup friction for our internal harness; good balance of opinion and flexibility.
webgpu-threejs-tsl has been reliable in day-to-day use. Documentation quality is above average for community skills.
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