The core animation hook in R3F. Runs every frame.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionr3f-animationExecute the skills CLI command in your project's root directory to begin installation:
Fetches r3f-animation from enzed/r3f-skills 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 r3f-animation. Access via /r3f-animation 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.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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import { Canvas, useFrame } from '@react-three/fiber'
import { useRef } from 'react'
function RotatingBox() {
const meshRef = useRef()
useFrame((state, delta) => {
meshRef.current.rotation.x += delta
meshRef.current.rotation.y += delta * 0.5
})
return (
<mesh ref={meshRef}>
<boxGeometry />
<meshStandardMaterial color="hotpink" />
</mesh>
)
}
export default function App() {
return (
<Canvas>
<ambientLight />
<RotatingBox />
</Canvas>
)
}
The core animation hook in R3F. Runs every frame.
import { useFrame } from '@react-three/fiber'
import { useRef } from 'react'
function AnimatedMesh() {
const meshRef = useRef()
useFrame((state, delta) => {
// state contains: clock, camera, scene, gl, mouse, etc.
// delta is time since last frame in seconds
meshRef.current.rotation.y += delta
})
return (
<mesh ref={meshRef}>
<boxGeometry />
<meshStandardMaterial color="orange" />
</mesh>
)
}
useFrame((state, delta, xrFrame) => {
const {
clock, // THREE.Clock
camera, // Current camera
scene, // Scene
gl, // WebGLRenderer
mouse, // Normalized mouse position (-1 to 1)
pointer, // Same as mouse
viewport, // Viewport dimensions
size, // Canvas size
raycaster, // Raycaster
get, // Get current state
set, // Set state
invalidate, // Request re-render (when frameloop="demand")
} = state
// Time-based animation
const t = clock.getElapsedTime()
meshRef.current.position.y = Math.sin(t) * 2
})
// Lower numbers run first. Default is 0.
// Use negative for pre-render, positive for post-render
function PreRender() {
useFrame(() => {
// Runs before main render
}, -1)
}
function PostRender() {
useFrame(() => {
// Runs after main render
}, 1)
}
function DefaultRender() {
useFrame(() => {
// Runs at default priority (0)
})
}
function ConditionalAnimation({ isAnimating }) {
const meshRef = useRef()
useFrame((state, delta) => {
if (!isAnimating) return
meshRef.current.rotation.y += delta
})
return <mesh ref={meshRef}>...</mesh>
}
The recommended way to play animations from GLTF/GLB files.
import { useGLTF, useAnimations } from '@react-three/drei'
import { useEffect, useRef } from 'react'
function AnimatedModel() {
const group = useRef()
const { scene, animations } = useGLTF('/models/character.glb')
const { actions, names } = useAnimations(animations, group)
useEffect(() => {
// Play first animation
actions[names[0]]?.play()
}, [actions, names])
return <primitive ref={group} object={scene} />
}
function Character(Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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designtag: animationReviews
4.6★★★★★55 reviews- DDhruvi Jain★★★★★Dec 28, 2024
Useful defaults in r3f-animation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- IIsabella Srinivasan★★★★★Dec 24, 2024
Useful defaults in r3f-animation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- XXiao Sanchez★★★★★Dec 20, 2024
r3f-animation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- KKaira Mensah★★★★★Dec 8, 2024
Solid pick for teams standardizing on skills: r3f-animation is focused, and the summary matches what you get after install.
- MMeera Gonzalez★★★★★Dec 8, 2024
I recommend r3f-animation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- LLuis Park★★★★★Nov 27, 2024
I recommend r3f-animation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- MMeera Huang★★★★★Nov 27, 2024
Solid pick for teams standardizing on skills: r3f-animation is focused, and the summary matches what you get after install.
- OOshnikdeep★★★★★Nov 19, 2024
r3f-animation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- IIsabella White★★★★★Nov 15, 2024
r3f-animation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMia Li★★★★★Nov 11, 2024
r3f-animation reduced setup friction for our internal harness; good balance of opinion and flexibility.
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