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Physics Intuition

Community
dylantarre
physics-intuition

Use when motion needs to feel physically grounded—objects falling, characters jumping, things colliding, or any element that should obey believable weight and momentum.

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill namephysics-intuition
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 Physics Intuition 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/02-by-thinking-style/physics-intuition .claude/skills/physics-intuition
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Physics Intuition 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 Physics Intuition 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 Physics Intuition 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.

Physics Intuition

Think like a physicist watching the world move. Every object has mass. Every motion has cause and consequence.

Core Mental Model

Before animating anything, ask: What does this weigh?

A feather and a bowling ball both fall, but they tell completely different stories. Your job is to make the audience feel that weight without thinking about it.

The 12 Principles Through Physics

Squash & Stretch — Mass is conserved. When something compresses, it must bulge. A bouncing ball flattens on impact because its volume has to go somewhere.

Timing — Heavy = slow to start, slow to stop. Light = quick reactions. A truck and a bicycle brake very differently.

Slow In & Slow Out — Nothing starts or stops instantly. Acceleration and deceleration are the fingerprints of mass.

Arcs — Gravity curves everything. Even a punch follows a pendulum path from the shoulder. Straight lines feel robotic.

Secondary Action — When the main mass moves, attached masses follow with delay. Hair, clothing, jowls—they're all passengers on the physics train.

Follow Through & Overlapping Action — Different masses have different momentum. A character stops, but their belly keeps going. This is inertia made visible.

Anticipation — Force requires windup. You can't push without first pulling back. Show the gathering of energy before release.

Exaggeration — Push physics past reality to feel more real. A heavy landing needs more squash than actual physics would produce.

Staging — Position elements so physical relationships read clearly. The audience must understand spatial cause and effect.

Straight Ahead & Pose to Pose — Use straight ahead for chaotic physics (explosions, water). Use pose to pose for controlled physics (a character lifting something).

Solid Drawing — Volume must remain consistent. A character can't lose mass between frames without the audience noticing something is wrong.

Appeal — Even physics follows design. Decide if your world has cartoon physics or realistic physics, then be consistent.

Practical Application

When something feels "floaty" or "weightless":

  1. Add more ease-in at the start of motion
  2. Increase ease-out at stops
  3. Add settling oscillations (things don't stop perfectly still)
  4. Check that secondary elements lag appropriately

When something feels "stiff":

  1. Introduce squash at impact points
  2. Add stretch during fast movement
  3. Ensure arcs in all trajectories
  4. Let different body parts arrive at different times

The Golden Rule

Audiences don't analyze physics—they feel it. Your job isn't accuracy; it's believability. Sometimes breaking physics (hanging in mid-air before a fall) creates more convincing weight than obeying it.

Frequently asked questions

What does the Physics Intuition AI skill do?

Use when motion needs to feel physically grounded—objects falling, characters jumping, things colliding, or any element that should obey believable weight and momentum.

Why use Physics Intuition on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dylantarre/animation-principles/tree/main/skills/02-by-thinking-style/physics-intuition. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Physics Intuition?

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 Physics Intuition?

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

Is the Physics Intuition 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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