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Updated a month ago

three-agent-skills

Eemalorenzo
0.0k
emalorenzo/three-agent-skills
82
Agent Score

💡 Summary

This skill provides optimization guidelines and best practices for Three.js and React Three Fiber development.

🎯 Target Audience

Web developers using Three.jsReact developers working with React Three FiberGame developers focusing on WebGL/AR/VRPerformance engineers optimizing 3D applicationsEducators teaching 3D graphics programming

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisLow Risk

Risk: Low. Review: shell/CLI command execution; outbound network access (SSRF, data egress). Run with least privilege and audit before enabling in production.

Three Agent Skills

AI coding agent skills for Three.js and React Three Fiber development.

Skills follow the Agent Skills specification.

Installation

npx add-skill three-agent-skills

Or from GitHub directly:

npx add-skill emalorenzo/three-agent-skills

List available skills

npx add-skill three-agent-skills --list

Install specific skill

npx add-skill three-agent-skills --skill three-best-practices npx add-skill three-agent-skills --skill r3f-best-practices

Available Skills

three-best-practices

Pure Three.js optimization guidelines. 100+ rules across 17 categories.

Use when:

  • Writing Three.js code
  • Optimizing WebGL/WebGPU performance
  • Managing memory and disposal
  • Writing shaders (GLSL or TSL)
  • Building VR/AR experiences with WebXR
  • Integrating physics engines
  • Optimizing for mobile devices

Categories:

  • Modern Setup & Imports (Import Maps, renderers)
  • Memory Management & Dispose (CRITICAL)
  • Render Loop Optimization (CRITICAL)
  • Geometry & Buffer Management
  • Material & Texture Optimization
  • Lighting & Shadows
  • Scene Graph Organization
  • Shader Best Practices (GLSL)
  • TSL - Three.js Shading Language (complete reference, post-processing, compute shaders)
  • Loading & Assets (GLTF, DRACO, Meshopt, KTX2)
  • Camera & Controls
  • Animation System (Mixer, blending, morph targets, skeletal)
  • Physics Integration (Rapier, Cannon-es)
  • WebXR / VR / AR
  • Audio (Spatial, HRTF)
  • Mobile Optimization
  • Production (Error handling, migration checklist)
  • Debug & DevTools

r3f-best-practices

React Three Fiber and Poimandres ecosystem best practices. 60+ rules across 11 categories.

Use when:

  • Writing R3F components
  • Optimizing R3F performance (re-renders)
  • Using Drei helpers
  • Managing state with Zustand
  • Implementing physics or post-processing

Ecosystem coverage:

  • @react-three/fiber
  • @react-three/drei
  • @react-three/postprocessing
  • @react-three/rapier
  • zustand
  • leva

Categories:

  • Performance & Re-renders (CRITICAL)
  • useFrame & Animation (CRITICAL)
  • Component Patterns
  • Canvas & Setup
  • Drei Helpers
  • Loading & Suspense
  • State Management
  • Events & Interaction
  • Post-processing
  • Physics (Rapier)
  • Leva (Debug GUI)

Usage Examples

Once installed, the agent uses skills automatically based on context:

Review my entire Three.js app and give me a score from 1 to 100.
Explain what's good, what needs improvement, and provide actionable fixes.
Help me set up a Three.js scene with proper memory management
Review my R3F component for performance issues
How do I load GLTF models with Drei?
Optimize my shader for mobile devices
Set up WebXR for my VR experience
Implement GPU particles with compute shaders
Integrate Rapier physics with my Three.js scene

Supported Agents

Works with any agent that supports the Agent Skills spec:

  • Claude Code
  • Cursor
  • Codex
  • OpenCode
  • VS Code Copilot
  • And more...

Documentation

License

MIT

5-Dim Analysis
Clarity9/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability8/10
Pros & Cons

Pros

  • Comprehensive guidelines for optimization
  • Supports both Three.js and React Three Fiber
  • Easy installation and usage
  • Covers a wide range of performance aspects

Cons

  • May require familiarity with Three.js concepts
  • Limited to specific frameworks
  • Potentially overwhelming for beginners
  • Documentation may need more examples

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author emalorenzo.