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R3f Textures

Community
EnzeD
r3f-textures

Configure textures in React Three Fiber, including color spaces, UV channels, sampling, video, and render targets. Use for texture appearance or memory issues; use loader guidance for model-loading workflows.

Overview

PublisherEnzeD
Repositoryr3f-skills
Skill namer3f-textures
Stars
116
Forks
7
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by EnzeD on GitHub. Read the source before you install it.

Installation

Install the R3f Textures AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/EnzeD/r3f-skills.git /tmp/r3f-skills
mkdir -p .claude/skills
cp -r /tmp/r3f-skills/skills/r3f-textures .claude/skills/r3f-textures
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable R3f Textures in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads R3f Textures on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so R3f Textures is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

React Three Fiber textures

Inspect installed Three.js, Fiber, Drei, and renderer versions first. Examples target Fiber 9 / React 19 and Three.js r185 with WebGL. Preserve correctly configured assets rather than resetting every texture.

Color versus data

Texture contentColor-space annotation
PNG/JPEG base color or emissive colorSRGBColorSpace
Roughness, metalness, normal, AO, alpha/masksNoColorSpace
Linear HDR/EXR lighting dataPreserve loader-provided linear metadata

NoColorSpace is not another name for LinearSRGBColorSpace: scalar/vector data has no color space. Do not blanket-convert every map to sRGB.

Load a color map

Mount under Suspense inside Canvas. The file path is an application asset, not a file provided by this skill.

tsx
import { useTexture } from '@react-three/drei'
import { SRGBColorSpace } from 'three'

export default function Example() {
  const map = useTexture('/textures/checker.png', (texture) => {
    // This URL is consistently used as a color texture by all consumers.
    texture.colorSpace = SRGBColorSpace
    texture.needsUpdate = true
  })
  return (
    <mesh>
      <planeGeometry args={[3, 3]} />
      <meshStandardMaterial map={map} roughness={1} />
    </mesh>
  )
}

Fiber handles common built-in color map props, and glTF loaders set texture metadata. Explicit annotation is especially important for custom shader uniforms or manually created textures.

Cache and ownership

  • useTexture/useLoader cache by loader and URL inputs. The same source can return the same Texture object. Repeat, offset, wrapping, filters, and colorSpace changes can affect every consumer.
  • Clone the Texture object before per-instance configuration. Reuse the underlying image where possible; separately dispose only the clone you own. Do not dispose the cached source from an individual consumer.
  • Do not clear a loader cache during render. Cache eviction and GPU disposal are separate operations and require knowing that no active consumer still needs the resource.
  • Avoid replacing the uniform/texture object every frame; update offsets or owned values directly. On a demand loop, invalidate after imperative changes.

UVs and sampling

  • texture.channel = 0 selects uv, 1 selects uv1, then uv2 and uv3. Choose the actual geometry attribute; AO/light maps no longer universally require copying uv into uv2.
  • Repeat outside [0, 1] requires RepeatWrapping or MirroredRepeatWrapping. Offset/repeat/rotation are texture transforms; atlas animations generally do not need React state per frame.
  • Wrapping, color-space, and upload configuration changes may need texture.needsUpdate. Offset/repeat changes use the texture matrix and do not normally require re-uploading image data.
  • For pixel art, use nearest filtering deliberately. For minified surfaces, mipmaps reduce shimmer; cap anisotropy to the renderer's supported maximum and the scene's needs.
  • Power-of-two dimensions are not a universal WebGL2 requirement. Size textures for screen coverage, memory, compression-format constraints, and quality rather than an obsolete blanket rule.
  • Download size is not GPU memory size. Consider KTX2/Basis where supported; configure renderer capability detection and host decoder/transcoder assets deliberately.
  • For a replacement glTF color map, match the model's UV/orientation conventions; a manually loaded texture commonly needs flipY=false. Do not flip already configured glTF maps again.

Specialized textures

  • Prefer useVideoTexture when its lifecycle fits. Check autoplay/muting, CORS, user gestures, and source cleanup; changing video resolution may require a new texture. Do not promise autoplay succeeds on every browser.
  • Canvas/DataTexture content changes need needsUpdate; data textures should keep data color-space semantics. Creating a texture in a frame loop leaks work/resources unless deliberately managed.
  • For render targets, read offscreen rendering. Never sample from a texture while rendering into that same target.
  • Keep environment maps on a lighting path (Environment/useEnvironment) rather than assigning a regular 2D image without a suitable mapping/PMREM workflow.

Verify

Test a known color swatch, data maps under changing lights, texture orientation, repeated mounts, and two consumers with different UV transforms. Inspect GPU texture counts; they are counts, not byte-accurate memory measurements.

Sources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the R3f Textures AI skill do?

Configure textures in React Three Fiber, including color spaces, UV channels, sampling, video, and render targets. Use for texture appearance or memory issues; use loader guidance for model-loading workflows.

Why use R3f Textures on TypingMind?

Because you install it once and use it with any model. R3f Textures is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install R3f Textures in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EnzeD/r3f-skills/tree/main/skills/r3f-textures. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use R3f Textures?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with R3f Textures?

As many as you like. As long as a model supports skills, you can use R3f Textures with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the R3f Textures AI skill free?

It is published on GitHub by EnzeD. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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