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Animate

Organization
OneWave-AI
animate

Generate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.

Overview

PublisherOneWave-AI
Repositoryclaude-skills
Skill nameanimate
Stars
293
Forks
49
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by OneWave-AI on GitHub. Read the source before you install it.

Installation

Install the Animate 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/OneWave-AI/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/animate .claude/skills/animate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Animate 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 Animate 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 Animate 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.

Animation Generator

Create animated videos and motion graphics from a natural language description. Outputs a standalone Vite + React + Framer Motion project that plays in the browser.

Workflow

Step 1: Parse the Request

Break the user's description into a scene plan:

  • 3-7 scenes, each 3-5 seconds long
  • Identify the story arc: hero/intro, problem, solution, features, CTA/outro
  • Pick a color palette and typography that fits the brand/mood
  • Use $ARGUMENTS for the user's animation description

Step 2: Choose the Animation Stack

Auto-detect the best approach based on the request:

Request TypeStackWhen to Use
Product intro, presentation, marketingFramer Motion (default)Scene-based with text, icons, transitions
Generative art, particles, patternsp5.jsCreative/algorithmic visuals
3D objects, environments, product rendersThree.js + react-three-fiber3D scenes needed
Simple text/logo animationCSS animations onlyMinimal, no heavy deps

Default to Framer Motion unless the request clearly needs something else.

Step 3: Scaffold the Project

  1. Create a directory: ~/animations/[project-name]/
  2. Run the scaffold script: bash ~/.claude/skills/animate/scripts/scaffold.sh [project-name] [stack]
  3. Copy template files from ~/.claude/skills/animate/assets/template-files/ into the project

Step 4: Generate Scene Components

Read the references for animation presets and scene patterns:

  • references/animation-presets.md — all available transitions, springs, easings
  • references/scene-patterns.md — example scene code patterns

For each scene, create a React component in client/src/components/video/video_scenes/:

  • Use motion.div with scene transition presets (fadeBlur, scaleFade, slideLeft, splitHorizontal, morphExpand, etc.)
  • Use containerVariants and itemVariants for staggered content reveals
  • Use vw units for responsive sizing (works at any resolution)
  • Use CSS variables for theming (var(--color-accent), var(--color-bg-dark), etc.)
  • Use Lucide icons for visual elements
  • Use .glass-panel class for frosted glass cards
  • Use .text-gradient and .text-gradient-accent for gradient text

Step 5: Generate the VideoTemplate

Create client/src/components/video/VideoTemplate.tsx:

  • Import all scene components
  • Define SCENE_DURATIONS object (scene name -> milliseconds)
  • Use useVideoPlayer hook to manage scene advancement
  • Wrap scenes in AnimatePresence mode="wait" for smooth transitions
  • Each scene renders conditionally based on currentScene index

Step 6: Customize Theme

Update client/src/index.css with the right colors:

  • If the user specified brand colors, update CSS variables
  • Choose fonts that match the mood (Space Grotesk for tech, Playfair Display for elegant, etc.)
  • Update gradient and glow styles to match the palette

Step 7: Gemini 3.1 Pro Enhancement (Optional)

If GEMINI_API_KEY environment variable is available:

  1. Read references/gemini-integration.md for API details
  2. Send the user's description to Gemini 3.1 Pro asking for:
    • Scene breakdown with descriptions and suggested transitions
    • Color palette as CSS variables
    • Copy/headlines for each scene
    • SVG graphics if applicable
  3. Use the Gemini output to inform scene generation
  4. If no API key, skip this step — Claude handles all creative decisions directly

Step 8: Build and Preview

bash
cd ~/animations/[project-name]
npm install
npm run dev

Tell the user the animation is running at http://localhost:5173 and open it in the browser.

Scene Transition Reference (Quick)

Pick transitions that match the story beat:

  • fadeBlur — Soft intro/outro, dreamy reveals
  • scaleFade — Confident reveals, product showcases
  • slideLeft/slideRight — Sequential progression, timeline flow
  • splitHorizontal/splitVertical — Dramatic reveals, before/after
  • morphExpand — Grand finale, CTA screens
  • clipCircle — Focus attention, spotlight effect
  • perspectiveFlip — Card flips, perspective changes
  • wipe — Clean transitions, directional flow
  • zoomThrough — Immersive, forward momentum
  • crossDissolve — Gentle, emotional transitions

Element Animation Reference (Quick)

  • popIn — Bouncy scale entrance for icons/badges
  • fadeUp/fadeDown — Subtle content reveals
  • slideInLeft/slideInRight — Directional content
  • blurIn — Soft focus reveals
  • elasticScale — Playful, energetic entrances
  • perspectiveRotateIn — 3D card reveals
  • pulse — Looping attention grab
  • float — Gentle hovering effect

Important Rules

  1. Always use vw units for sizing so animations look good at any resolution
  2. Keep scenes between 3-5 seconds each — total video 15-30 seconds
  3. Use AnimatePresence mode="wait" so one scene exits before the next enters
  4. Every scene must have a background treatment (gradient, image, or animated shape)
  5. Use staggered animations for lists and grids (staggerChildren: 0.1-0.2)
  6. Include a loading state if assets are heavy
  7. The project must be completely self-contained — no external dependencies beyond npm packages
  8. Do NOT use emojis anywhere in the generated code or content

Frequently asked questions

What does the Animate AI skill do?

Generate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.

Why use Animate on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OneWave-AI/claude-skills/tree/main/animate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Animate?

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 Animate?

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

Is the Animate AI skill free?

Yes. It is published on GitHub by OneWave-AI 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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