R3f Animation logo

R3f Animation

Community
EnzeD
r3f-animation

Animate React Three Fiber objects with useFrame, damping, and GLTF clips. Use for procedural motion, animation transitions, or demand-loop animation; use physics guidance for collision-driven movement.

Overview

PublisherEnzeD
Repositoryr3f-skills
Skill namer3f-animation
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 Animation 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-animation .claude/skills/r3f-animation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable R3f Animation 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 Animation 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 Animation 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 animation

Check installed Fiber, Drei, and React versions first. These examples target Fiber 9 / React 19. Keep the project's animation library when it already meets the task.

Choose an owner

  • Use useFrame and refs for continuous transforms/uniforms; React state describes discrete goals such as selected, open, or active.
  • Use Drei useAnimations for authored GLTF clips. Read clip playback for independent animated instances and cleanup.
  • Use the project's spring/tween library for coordinated transitions; check its React peer dependencies before adding it. Do not introduce a state manager merely to animate a mesh.
  • Let Rapier own simulated body transforms. Animate kinematic targets through physics APIs rather than fighting the simulation with mesh positions.

Damping that can return to idle

Mount below Canvas; this also works with frameloop="demand". Click the box to change its target.

tsx
import { useEffect, useRef, useState } from 'react'
import { useFrame, useThree } from '@react-three/fiber'
import { MathUtils, type Mesh } from 'three'

export default function Example() {
  const mesh = useRef<Mesh>(null)
  const [active, setActive] = useState(false)
  const invalidate = useThree((state) => state.invalidate)
  const target = active ? 1 : -1
  useEffect(() => { invalidate() }, [target, invalidate])

  useFrame((_, delta) => {
    if (!mesh.current) return
    // Cap a visual transition's resume jump, not a physics simulation step.
    const x = MathUtils.damp(mesh.current.position.x, target, 6, Math.min(delta, 0.1))
    const moving = Math.abs(x - target) > 0.001
    mesh.current.position.x = moving ? x : target
    if (moving) invalidate()
  })

  return (
    <mesh ref={mesh} name="moving-box" onClick={() => setActive((value) => !value)}>
      <boxGeometry />
      <meshStandardMaterial color={active ? 'orange' : 'coral'} />
    </mesh>
  )
}

Timing and performance

  • delta is seconds. Integrate velocity as position += velocity * delta; use MathUtils.damp or lerp with 1 - exp(-lambda * delta) for exponential smoothing. A fixed lerp fraction depends on refresh rate; delta * speed can overshoot.
  • Reuse vectors/quaternions; avoid allocating them in every frame. Use quaternion interpolation for orientation instead of independently lerping Euler angles across wrap boundaries.
  • Use one timeline/clock owner. Fiber 9 still supplies state.clock; do not replace Fiber internals because Three.js deprecated new standalone Clock instances. For independent Three.js timing, consult Timer in the installed release.
  • On demand, external animation systems need invalidation while active. Invalidate before starting a synchronous animation and arrange the start on the next frame if the first frame would otherwise jump.
  • Read fast external state directly in the frame callback when supported (e.g. a store's getState()); subscribe React only to UI-relevant changes. Clean up external subscriptions.
  • Do not claim a normal React re-render stops animation. Profile actual work and subscription frequency before memoizing components.
  • Hiding an object does not stop its frame callback or mixer. Pause expensive animation explicitly when appropriate; respect reduced-motion preferences for decorative motion.
  • Repeated oscillations and shader motion can derive phase from elapsed time; simulations needing reproducibility require a fixed-step design, not arbitrary delta clamping.

Verify

Compare motion at different frame rates, background/resume behavior, and repeated target changes. On demand, confirm the object wakes, reaches its goal, and stops requesting frames. For clips, test two instances playing different actions.

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 Animation AI skill do?

Animate React Three Fiber objects with useFrame, damping, and GLTF clips. Use for procedural motion, animation transitions, or demand-loop animation; use physics guidance for collision-driven movement.

Why use R3f Animation on TypingMind?

Because you install it once and use it with any model. R3f Animation 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 Animation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EnzeD/r3f-skills/tree/main/skills/r3f-animation. 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 Animation?

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 Animation?

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

Is the R3f Animation 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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