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Animation Principles Deep Dive

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dylantarre
Animation Principles - Deep Dive

Use when someone needs comprehensive reference material on animation principles with technical depth and extensive context

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill nameAnimation Principles - Deep Dive
Stars
84
Forks
12
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 dylantarre on GitHub. Read the source before you install it.

Installation

Install the Animation Principles Deep Dive 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/dylantarre/animation-principles.git /tmp/animation-principles
mkdir -p .claude/skills
cp -r /tmp/animation-principles/skills/04-by-skill-level/deep-dive .claude/skills/dylantarre-animation-principles-deep-dive
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Animation Principles Deep Dive 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 Animation Principles Deep Dive 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 Animation Principles Deep Dive 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.

Complete Animation Principles Reference

Comprehensive technical guide to Disney's 12 principles with implementation details.

1. Squash and Stretch

Definition: Deformation of objects to show flexibility, weight, and motion.

Technical implementation:

  • Volume must remain constant (area preserved)
  • Stretch along motion path at velocity peaks
  • Squash perpendicular to impact surface
  • Ratio guidelines: 20-50% for cartoony, 5-15% for realistic

Applications: Facial expressions, body mechanics, object interactions, impact effects.

2. Anticipation

Definition: Preparatory action preceding main action.

Technical implementation:

  • Direction opposite to main action
  • Duration proportional to action magnitude
  • Typical ratio: 1:3 anticipation to action frames
  • Can be minimized for surprise effects

Applications: Jumps, throws, emotional shifts, scene transitions.

3. Staging

Definition: Presentation of idea for maximum clarity.

Technical implementation:

  • Silhouette test: action readable as solid black shape
  • Single focal point per composition
  • Background contrast supports subject
  • Camera angle serves story point

Applications: Every shot, pose choice, camera placement, lighting design.

4. Straight Ahead and Pose to Pose

Definition: Two fundamental animation approaches.

Straight ahead: Sequential frame creation. Organic, spontaneous, harder to control timing. Pose to pose: Key poses first, breakdowns second, inbetweens last. Controlled, plannable, can feel stiff. Hybrid: Keys pose-to-pose, overlapping elements straight ahead.

5. Follow Through and Overlapping Action

Definition: Continuation of motion after primary action stops.

Technical implementation:

  • Drag: appendages trail behind main mass
  • Follow through: continuation past stop point
  • Overlap: different parts move at different rates
  • Settle: oscillating return to rest

Hierarchy: Root leads, extremities follow. Heavy before light.

6. Slow In and Slow Out

Definition: Spacing variation showing acceleration/deceleration.

Technical implementation:

  • Ease in: bunched drawings at motion start
  • Ease out: bunched drawings at motion end
  • Middle drawings spread apart (fast portion)
  • Custom curves for specific effects (bounce, snap, drift)

7. Arc

Definition: Curved motion paths reflecting natural movement.

Technical implementation:

  • Track motion paths for all moving elements
  • Arcs created by rotation around joints
  • Projectiles follow parabolic arcs
  • Breaking arcs: mechanical, sudden, intentional effects

8. Secondary Action

Definition: Actions supporting primary without distracting.

Technical implementation:

  • Subordinate timing to primary action
  • Support emotional content of scene
  • Add on separate pass after primary is working
  • Remove if it competes for attention

9. Timing

Definition: Frame count determining speed and weight.

Reference points:

  • 1-2 frames: instant/invisible
  • 4-6 frames: fast/snappy
  • 8-12 frames: normal action
  • 16-24 frames: slow/heavy
  • 24+ frames: very slow/deliberate

Context-dependent: same frame count reads differently based on action type.

10. Exaggeration

Definition: Amplification of reality for clarity and impact.

Technical implementation:

  • Identify essence of action/emotion
  • Push poses beyond realistic range
  • Maintain internal consistency
  • Style-appropriate: match project aesthetic

11. Solid Drawing

Definition: Three-dimensional form and weight in drawings.

Technical implementation:

  • Consistent volume through motion
  • Anatomical understanding (bones, muscles)
  • Weight distribution and balance
  • Perspective and foreshortening accuracy

12. Appeal

Definition: Compelling quality that attracts viewer attention.

Technical implementation:

  • Clear, readable shapes
  • Distinctive silhouettes
  • Asymmetry in poses and design
  • Appropriate complexity level (simple reads faster)

Appeals to: visual interest, emotional connection, design quality.

Frequently asked questions

What does the Animation Principles Deep Dive AI skill do?

Use when someone needs comprehensive reference material on animation principles with technical depth and extensive context

Why use Animation Principles Deep Dive on TypingMind?

Because you install it once and use it with any model. Animation Principles Deep Dive 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 Animation Principles Deep Dive in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dylantarre/animation-principles/tree/main/skills/04-by-skill-level/deep-dive. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Animation Principles Deep Dive?

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 Animation Principles Deep Dive?

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

Is the Animation Principles Deep Dive AI skill free?

Yes. It is published on GitHub by dylantarre 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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