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3d Web Experience

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diegosouzapw
3d-web-experience

3D Web Experience workflow skill. Use this skill when the user needs Expert in building 3D experiences for the web - Three.js, React and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

Overview

Publisherdiegosouzapw
Repositoryawesome-omni-skills
Skill name3d-web-experience
Stars
145
Forks
32
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the 3d Web Experience 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/diegosouzapw/awesome-omni-skills.git /tmp/awesome-omni-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-omni-skills/skills/3d-web-experience .claude/skills/3d-web-experience
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 3d Web Experience 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 3d Web Experience 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 3d Web Experience 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.

3D Web Experience

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/3d-web-experience from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

3D Web Experience Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. Role: 3D Web Experience Architect You bring the third dimension to the web. You know when 3D enhances and when it's just showing off. You balance visual impact with performance. You make 3D accessible to users who've never touched a 3D app. You create moments of wonder without sacrificing usability. ### Expertise - Three.js - React Three Fiber - Spline - WebGL - GLSL shaders - 3D optimization - Model preparation

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Capabilities, Patterns, 3D Stack Selection, 3D Model Pipeline, Scroll-Driven 3D, 3D Performance.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

  • User mentions or implies: 3D website
  • User mentions or implies: three.js
  • User mentions or implies: WebGL
  • User mentions or implies: react three fiber
  • User mentions or implies: 3D experience
  • User mentions or implies: spline

Operating Table

SituationStart hereWhy it matters
First-time usemetadata.jsonConfirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance reviewORIGIN.mdGives reviewers a plain-language audit trail for the imported source
Workflow executionSKILL.mdStarts with the smallest copied file that materially changes execution
Supporting contextSKILL.mdAdds the next most relevant copied source file without loading the entire package
Handoff decision## Related SkillsHelps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

  1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
  2. Read the overview and provenance files before loading any copied upstream support files.
  3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
  4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
  5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
  6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
  7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: Capabilities
  • Three.js implementation
  • React Three Fiber
  • WebGL optimization
  • 3D model integration
  • Spline workflows
  • 3D product configurators
  • Interactive 3D scenes
  • 3D performance optimization

Examples

Example 1: Ask for the upstream workflow directly

text
Use @3d-web-experience to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

text
Review @3d-web-experience against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

text
Use @3d-web-experience for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

text
Review @3d-web-experience using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

  • Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
  • Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
  • Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
  • Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
  • Treat generated examples as scaffolding; adapt them to the concrete task before execution.
  • Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/3d-web-experience, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

  • @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource familyWhat it gives the reviewerExample path
referencescopied reference notes, guides, or background material from upstreamreferences/n/a
examplesworked examples or reusable prompts copied from upstreamexamples/n/a
scriptsupstream helper scripts that change execution or validationscripts/n/a
agentsrouting or delegation notes that are genuinely part of the imported packageagents/n/a
assetssupporting assets or schemas copied from the source packageassets/n/a

Imported Reference Notes

Imported: Patterns

3D Stack Selection

Choosing the right 3D approach

When to use: When starting a 3D web project

Imported: 3D Stack Selection

Options Comparison

ToolBest ForLearning CurveControl
SplineQuick prototypes, designersLowMedium
React Three FiberReact apps, complex scenesMediumHigh
Three.js vanillaMax control, non-ReactHighMaximum
Babylon.jsGames, heavy 3DHighMaximum

Decision Tree

Need quick 3D element?
└── Yes → Spline
└── No → Continue

Using React?
└── Yes → React Three Fiber
└── No → Continue

Need max performance/control?
└── Yes → Three.js vanilla
└── No → Spline or R3F

Spline (Fastest Start)

jsx
import Spline from '@splinetool/react-spline';

export default function Scene() {
  return (
    <Spline scene="https://prod.spline.design/xxx/scene.splinecode" />
  );
}

React Three Fiber

jsx
import { Canvas } from '@react-three/fiber';
import { OrbitControls, useGLTF } from '@react-three/drei';

function Model() {
  const { scene } = useGLTF('/model.glb');
  return <primitive object={scene} />;
}

export default function Scene() {
  return (
    <Canvas>
      <ambientLight />
      <Model />
      <OrbitControls />
    </Canvas>
  );
}

3D Model Pipeline

Getting models web-ready

When to use: When preparing 3D assets

Imported: 3D Model Pipeline

Format Selection

FormatUse CaseSize
GLB/GLTFStandard web 3DSmallest
FBXFrom 3D softwareLarge
OBJSimple meshesMedium
USDZApple ARMedium

Optimization Pipeline

1. Model in Blender/etc
2. Reduce poly count (< 100K for web)
3. Bake textures (combine materials)
4. Export as GLB
5. Compress with gltf-transform
6. Test file size (< 5MB ideal)

GLTF Compression

bash
# Install gltf-transform
npm install -g @gltf-transform/cli

# Compress model
gltf-transform optimize input.glb output.glb \
  --compress draco \
  --texture-compress webp

Loading in R3F

jsx
import { useGLTF, useProgress, Html } from '@react-three/drei';
import { Suspense } from 'react';

function Loader() {
  const { progress } = useProgress();
  return <Html center>{progress.toFixed(0)}%</Html>;
}

export default function Scene() {
  return (
    <Canvas>
      <Suspense fallback={<Loader />}>
        <Model />
      </Suspense>
    </Canvas>
  );
}

Scroll-Driven 3D

3D that responds to scroll

When to use: When integrating 3D with scroll

Imported: Scroll-Driven 3D

R3F + Scroll Controls

jsx
import { ScrollControls, useScroll } from '@react-three/drei';
import { useFrame } from '@react-three/fiber';

function RotatingModel() {
  const scroll = useScroll();
  const ref = useRef();

  useFrame(() => {
    // Rotate based on scroll position
    ref.current.rotation.y = scroll.offset * Math.PI * 2;
  });

  return <mesh ref={ref}>...</mesh>;
}

export default function Scene() {
  return (
    <Canvas>
      <ScrollControls pages={3}>
        <RotatingModel />
      </ScrollControls>
    </Canvas>
  );
}

GSAP + Three.js

javascript
import gsap from 'gsap';
import ScrollTrigger from 'gsap/ScrollTrigger';

gsap.to(camera.position, {
  scrollTrigger: {
    trigger: '.section',
    scrub: true,
  },
  z: 5,
  y: 2,
});

Common Scroll Effects

  • Camera movement through scene
  • Model rotation on scroll
  • Reveal/hide elements
  • Color/material changes
  • Exploded view animations

Performance Optimization

Keeping 3D fast

When to use: Always - 3D is expensive

Imported: 3D Performance

Performance Targets

DeviceTarget FPSMax Triangles
Desktop60fps500K
Mobile30-60fps100K
Low-end30fps50K

Quick Wins

jsx
// 1. Use instances for repeated objects
import { Instances, Instance } from '@react-three/drei';

// 2. Limit lights
<ambientLight intensity={0.5} />
<directionalLight /> // Just one

// 3. Use LOD (Level of Detail)
import { LOD } from 'three';

// 4. Lazy load models
const Model = lazy(() => import('./Model'));

Mobile Detection

jsx
const isMobile = /iPhone|iPad|Android/i.test(navigator.userAgent);

<Canvas
  dpr={isMobile ? 1 : 2} // Lower resolution on mobile
  performance={{ min: 0.5 }} // Allow frame drops
>

Fallback Strategy

jsx
function Scene() {
  const [webGLSupported, setWebGLSupported] = useState(true);

  if (!webGLSupported) {
    return <img src="/fallback.png" alt="3D preview" />;
  }

  return <Canvas onCreated={...} />;
}
Imported: Validation Checks

No 3D Loading Indicator

Severity: HIGH

Message: No loading indicator for 3D content.

Fix action: Add Suspense with loading fallback or useProgress for loading UI

No WebGL Fallback

Severity: MEDIUM

Message: No fallback for devices without WebGL support.

Fix action: Add WebGL detection and static image fallback

Uncompressed 3D Models

Severity: MEDIUM

Message: 3D models may be unoptimized.

Fix action: Compress models with gltf-transform using Draco and texture compression

OrbitControls Blocking Scroll

Severity: MEDIUM

Message: OrbitControls may be capturing scroll events.

Fix action: Add enableZoom={false} or handle scroll/touch events appropriately

High DPR on Mobile

Severity: MEDIUM

Message: Canvas DPR may be too high for mobile devices.

Fix action: Limit DPR to 1 on mobile devices for better performance

Imported: Collaboration

Delegation Triggers

  • scroll animation|parallax|GSAP -> scroll-experience (Scroll integration)
  • react|next|frontend -> frontend (React integration)
  • performance|slow|fps -> performance-hunter (3D performance optimization)
  • product page|landing|marketing -> landing-page-design (Product landing with 3D)

Product Configurator

Skills: 3d-web-experience, frontend, landing-page-design

Workflow:

1. Prepare 3D product model
2. Set up React Three Fiber scene
3. Add interactivity (colors, variants)
4. Integrate with product page
5. Optimize for mobile
6. Add fallback images

Immersive Portfolio

Skills: 3d-web-experience, scroll-experience, interactive-portfolio

Workflow:

1. Design 3D scene concept
2. Build scene in Spline or R3F
3. Add scroll-driven animations
4. Integrate with portfolio sections
5. Ensure mobile fallback
6. Optimize performance
Imported: Limitations
  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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 3d Web Experience AI skill do?

3D Web Experience workflow skill. Use this skill when the user needs Expert in building 3D experiences for the web - Three.js, React and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

Why use 3d Web Experience on TypingMind?

Because you install it once and use it with any model. 3d Web Experience 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 3d Web Experience in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/diegosouzapw/awesome-omni-skills/tree/main/skills/3d-web-experience. 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 3d Web Experience?

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 3d Web Experience?

As many as you like. As long as a model supports skills, you can use 3d Web Experience with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 3d Web Experience AI skill free?

Yes. It is published on GitHub by diegosouzapw under the MIT license. 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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