Interaction Motion logo

Interaction Motion

Community
RealTask
interaction-motion

Design purposeful micro-interactions, transitions, feedback states, and responsive motion that clarify behavior without harming accessibility or performance.

Overview

PublisherRealTask
RepositoryMAX-DESIGN
Skill nameinteraction-motion
Stars
4
Forks
0
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 RealTask on GitHub. Read the source before you install it.

Installation

Install the Interaction Motion 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.
    https://github.com/RealTask/MAX-DESIGN/tree/main/skills/interaction-motion
  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/RealTask/MAX-DESIGN.git /tmp/MAX-DESIGN
mkdir -p .claude/skills
cp -r /tmp/MAX-DESIGN/skills/interaction-motion .claude/skills/interaction-motion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interaction Motion 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 Interaction Motion 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 Interaction Motion 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.

Interaction and motion

When to use

Use when adding animation, page transitions, feedback, hover or press states, overlays, scroll behavior, loading transitions, or other dynamic interface behavior.

Workflow

1. Define the purpose

Every movement should show a state change, preserve spatial context, communicate hierarchy, acknowledge input, guide attention, or make a complex transition easier to understand. If removing it improves clarity or speed, remove it.

2. Map states before timing

List relevant states and transitions: resting, hovered, focused, pressed, loading, expanded, success, and error. Make the state understandable when animation is disabled or unavailable.

3. Choose motion by role

Use the shortest movement that conveys the relationship. Small control feedback should feel immediate; larger surface transitions may need more time to preserve context. Avoid applying one duration to every interaction. Prefer opacity or transform over effects that repeatedly trigger expensive layout or paint work.

4. Preserve input and navigation

Animations must not delay important actions unnecessarily. Keep focus behavior predictable when dialogs, menus, tabs, or routes change. Do not animate focus away from the active control or create a visual state that differs from actual application state.

5. Respect reduced motion

Support the prefers-reduced-motion media query. Reduce or remove nonessential movement, parallax, looping decoration, and large spatial transitions. Keep essential feedback available through immediate state changes, text, or other non-motion cues. Never make a task dependent on animation.

6. Handle interruption and failure

Repeated input, rapid navigation, network delay, interrupted transitions, and reduced-motion settings must not leave the UI stuck. Avoid decorative loops that compete with important information. Do not imply progress that is unknown.

7. Check performance

Prefer transform and opacity for common transitions. Inspect expensive filters, large blurred layers, scroll-linked work, and many simultaneous animated elements. Avoid continuously animating layout properties without a strong reason. Pause work for offscreen or inactive components when practical.

8. Validate behavior

Test keyboard input, touch, pointer, reduced motion, repeated activation, and narrow screens where relevant. Check that motion does not cause flashing, disorientation, obstruction, or missed input. Use rendered behavior when browser testing is available.

Quality gates

  • Every animation has a clear user-centered purpose.
  • State changes remain understandable without motion.
  • Reduced-motion preferences are respected.
  • Keyboard focus and input timing remain predictable.
  • Motion is brief, coherent, interruptible, and performant.
  • No important action depends on decorative movement.

Frequently asked questions

What does the Interaction Motion AI skill do?

Design purposeful micro-interactions, transitions, feedback states, and responsive motion that clarify behavior without harming accessibility or performance.

Why use Interaction Motion on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RealTask/MAX-DESIGN/tree/main/skills/interaction-motion. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Interaction Motion?

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 Interaction Motion?

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

Is the Interaction Motion AI skill free?

Yes. It is published on GitHub by RealTask 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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