threejs-image-pipeline

Create a WebGPU/TSL final-image pipeline for Three.js scenes with conditional passes and MRTs.

5|1|Updated Jul 4, 2026
One-click install
npx skills add https://github.com/linegel/threejs-complete-set-of-skill --skill threejs-image-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: threejs-image-pipeline
Source: https://github.com/linegel/threejs-complete-set-of-skill/tree/main/threejs-image-pipeline
Command: npx skills add https://github.com/linegel/threejs-complete-set-of-skill --skill threejs-image-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires [email protected], and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a minimal, workload-selected WebGPU/TSL final-image pipeline for advanced Three.js scenes, offering efficient rendering and advanced features like conditional pass(), mrt(), and quality/performance tradeoffs.

Core Features & Use Cases

  • Minimal Pipeline: Build a streamlined image pipeline tailored to specific scene requirements.
  • Conditional Pass/MRT: Apply conditional passes and MRTs for depth, normal, albedo, emissive, velocity, and history signals.
  • Quality/Performance: Balance visual quality with performance for real-time graphics systems.
  • Use Case: Ideal for scientific or explanatory views, inspected products, environments, procedural worlds, and GPU-backed surface effects where visual accuracy and performance are critical.

Quick Start

Use the threejs-image-pipeline skill to create a final-image pipeline for your Three.js scene.

Frequently Asked Questions about threejs-image-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a WebGPU final-image pipeline in Three.js for advanced scenes?

To build a WebGPU final-image pipeline in Three.js, you need a minimal, workload-selected setup that handles conditional passes and MRTs for specific scene requirements. This approach streamlines rendering by tailoring the pipeline to depth, normal, albedo, and velocity signals.

How does MRT work in a Three.js WebGPU rendering pipeline?

MRT (Multiple Render Targets) in a Three.js WebGPU pipeline allows simultaneous rendering of depth, normal, albedo, emissive, velocity, and history signals. This conditional pass mechanism extracts multiple scene properties in a single pass for advanced visual validation.

Does the Three.js WebGPU backend support conditional passes for real-time graphics?

The Three.js WebGPU backend supports conditional passes for real-time graphics, allowing dynamic activation of rendering features. This enables efficient quality and performance tradeoffs by toggling specific pipeline stages based on workload requirements.

What is the best way to balance quality and performance in a Three.js WebGPU pipeline?

The best way to balance quality and performance in a Three.js WebGPU pipeline is using a workload-selected approach with conditional passes and MRTs. This minimizes overhead by only executing rendering passes necessary for the target visual accuracy.

Do I need TSL to create an image pipeline for procedural worlds in Three.js?

You need TSL (Three.js Shading Language) and the WebGPU backend enabled to create an image pipeline for procedural worlds. TSL provides the necessary node-based constructs to implement conditional passes and MRTs for GPU-backed surface effects.

When should I use a minimal image pipeline instead of standard Three.js rendering?

Use a minimal image pipeline instead of standard Three.js rendering when visual accuracy and performance are critical for scientific views, inspected products, or procedural environments. It provides tailored rendering passes for complex GPU-backed surface effects without unnecessary overhead.