Micro Interactions logo

Micro Interactions

Organization
dembrandt
micro-interactions

Small purposeful animations — toggles, animated icons, success moments. Use when designing interactive feedback, success states or loaders.

Overview

Publisherdembrandt
Repositorydembrandt-skills
Skill namemicro-interactions
Stars
169
Forks
21
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 dembrandt on GitHub. Read the source before you install it.

Installation

Install the Micro Interactions 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/dembrandt/dembrandt-skills/tree/main/skills/micro-interactions
  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/dembrandt/dembrandt-skills.git /tmp/dembrandt-skills
mkdir -p .claude/skills
cp -r /tmp/dembrandt-skills/skills/micro-interactions .claude/skills/micro-interactions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Micro Interactions 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 Micro Interactions 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 Micro Interactions 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.

Micro-Interactions

A micro-interaction is a moment. A checkbox that draws its checkmark. A heart that pulses when liked. A toggle that eases into place with a little overshoot. A confetti burst on completing a goal. These moments are small in duration — 200–600ms — but they communicate that the product was made by people who cared.

The reference is always the natural world. Nothing in nature snaps instantly. Everything has weight, momentum, and a moment of settling.


What Makes a Good Micro-Interaction

A micro-interaction earns its place when it:

  1. Confirms an action — makes the result of a click, tap, or input unmistakably clear
  2. Rewards a milestone — celebrates something the user worked toward
  3. Reveals something — unfolds information in a way that aids understanding
  4. Adds texture — makes an otherwise flat moment feel physical and real

It fails when it:

  • Delays the user (animation blocks the next action)
  • Repeats too often (becomes noise, not signal)
  • Exists only for decoration (no information is conveyed)

Natural World as Reference

Physical objects have inertia, springiness, and weight. UI that borrows these properties feels intuitive because it matches expectations built over a lifetime.

Natural behaviourUI equivalent
A door swinging to restToggle that overshoots slightly before settling
Water drippingStaggered list item reveals
A rubber band snapping backPull-to-refresh bounce
A leaf fallingGentle fade + drift downward on dismiss
A bell ringingIcon that briefly oscillates (shakes) on trigger
A stamp pressing paperInner element shift (e.g. icon nudge) without shifting button bounds

The motion should feel inevitable — as if the element has physical properties and cannot behave any other way.


Patterns

Animated Icons

Icons that animate on trigger communicate state change more vividly than a static swap.

Checkmark draw-on: A checkmark that draws itself from start to end point on completion.

css
@keyframes check-draw {
  from { stroke-dashoffset: 20; }
  to   { stroke-dashoffset: 0; }
}
.checkmark path {
  stroke-dasharray: 20;
  animation: check-draw 300ms ease-out forwards;
}

Heart pulse on like: Scale up slightly then settle back.

css
@keyframes heart-pulse {
  0%   { transform: scale(1); }
  40%  { transform: scale(1.25); }
  100% { transform: scale(1); }
}

Hamburger → close morphing: Lines animate to form an × when a menu opens.

Bell shake on notification: A brief oscillating rotation.

Loading spinner: Rotate with easing rather than linear — a spring rotation feels alive; linear feels mechanical.

Toggle / Switch

A toggle should feel like a physical switch, not a state change.

css
.toggle-thumb {
  transition: transform 200ms cubic-bezier(0.34, 1.56, 0.64, 1);
  /* cubic-bezier with overshoot — the thumb slides and bounces slightly */
}
.toggle:checked .toggle-thumb {
  transform: translateX(20px);
}

The cubic-bezier (0.34, 1.56, 0.64, 1) produces a spring effect — the thumb overshoots and settles. This is the difference between a switch that feels cheap and one that feels premium.

Success / Completion

Mark moments of genuine completion — a form submitted, an onboarding step finished, a goal reached.

  • Checkmark animation that draws on
  • Subtle confetti for high-value milestones (first purchase, account created, goal achieved) — use sparingly, never for routine actions
  • Green fill transition on a progress bar completing
  • Number count-up when a stat reaches its final value

Reveal and Disclosure

Accordions, tooltips, and popovers that open via a small reveal feel more considered than appearing instantly.

css
.accordion-content {
  overflow: hidden;
  max-height: 0;
  transition: max-height 250ms ease-out;
}
.accordion-content.open {
  max-height: 500px; /* generous upper bound */
}

Content that slides down as if gravity is pulling it into place feels natural. Content that blinks into existence does not.

Button Interaction Feedback (Stability Rule)

Buttons must never change their outer dimensions or shift their position in the layout when hovered, focused, or clicked.

css
.btn {
  transition: background-color 150ms ease-out, box-shadow 150ms ease-out;
}
.btn:hover {
  background-color: var(--color-brand-600); /* subtle shift in hue or brightness */
}
.btn:active {
  background-color: var(--color-brand-700); /* deeper contrast on press */
  box-shadow: inset 0 2px 4px rgba(0,0,0,0.1); /* inner shadow suggests depth without scaling */
}

The button remains rock-solid in the layout. Feedback is conveyed through colour, internal shadows, or subtle micro-animations of inner elements (like an arrow moving 2px to the right) that do not affect the button's footprint.

Skeleton → Content Transition

When content loads, do not flash it in. Fade it over the skeleton at 150–200ms. The skeleton dissolves, the content arrives.

css
.content-loaded {
  animation: fade-in 150ms ease-out;
}
@keyframes fade-in {
  from { opacity: 0; }
  to   { opacity: 1; }
}

Attracting Attention to Remote Changes

Users often miss updates that occur far away from their current focus or click area (change blindness). If an area changes that the user is not currently looking at—such as a notification in a distant corner—use a subtle animation to guide their eye.

  • Notification Badge Bloom: When a new notification arrives, briefly scale the badge up (1.2) and settle back to 1.0.
  • Background Highlight Fade: If a list item updates or a new row is added, highlight its background with a subtle brand tint and fade it to transparent over 1–2 seconds.
  • Subtle Shake: A very small horizontal shake (2–4px) can draw attention to a sidebar or toolbar item without being aggressive.

Rule: The animation should be non-looping. Once the eye is caught, the motion must stop to avoid becoming a permanent distraction.


The Sacred Rule of Component Stability

Interactive elements — especially buttons — must be layout-stable.

  • No Scaling: Never use transform: scale() on hover or click for buttons. It causes visual vibrating and can feel "squishy" rather than premium.
  • No Shifting: Never use translate or margins that change the element's position relative to its neighbors.
  • Why: Layout stability creates a sense of professional engineering and "sturdiness." If the UI moves under the user's cursor, it feels unpredictable.

How to Declare the Motion

Transitions for state, keyframes for sequences. A CSS transition can be interrupted: move the cursor away mid-hover and the element turns around from where it is. A keyframe animation cannot — it plays to the end, then snaps. Every hover, focus, active and selected state is a transition. Reserve @keyframes for a staged entrance or a loop that runs on its own.

Name the properties. transition: all animates whatever happens to change, including layout properties that force the browser to re-lay-out the page every frame — and it is how a component starts sliding when an unrelated class lands on it.

css
/* the element decides what moves */
transition-property: opacity, scale;
transition-duration: 200ms;
transition-timing-function: cubic-bezier(0.2, 0, 0, 1);

will-change is a last resort. Add it only when you have seen the first frame stutter, only on transform, opacity or filter, and remove it when the animation ends. It reserves a compositor layer; applied broadly it costs more memory than it saves time.


Restraint

Micro-interactions are seasoning, not the meal.

  • Once per trigger — a checkmark animates once on save, not on every render
  • Skip on repeat actions — a bulk delete of 50 items should not animate 50 times
  • No blocking animations — the user must be able to continue immediately; the animation runs alongside, not instead of, the result
  • Respect prefers-reduced-motion — always
css
@media (prefers-reduced-motion: reduce) {
  * { animation-duration: 0.01ms !important; transition-duration: 0.01ms !important; }
}

Ask for each interaction: does this make the result clearer, or just more visually busy? If the answer is the latter, remove it.


Review Checklist

  • Sacred Rule: Do buttons and interactive elements remain perfectly stable (no size change, no shifting) during hover and click?
  • Does each micro-interaction confirm an action, reward a milestone, or aid understanding?
  • Is the duration 200–600ms — not instant, not slow enough to feel like waiting?
  • Does motion reference natural physics (spring, ease-out, overshoot) rather than linear timing?
  • Is the animation non-blocking — the user can continue immediately?
  • Is prefers-reduced-motion respected?
  • Are high-effort celebrations (confetti, bloom effects) reserved for genuine milestones?
  • Do animated icons clearly communicate the state change they represent?
  • Does the toggle/switch use a spring easing curve, not linear?
  • Are remote changes (outside focal area) highlighted with a brief, non-looping animation to guide the eye?

Frequently asked questions

What does the Micro Interactions AI skill do?

Small purposeful animations — toggles, animated icons, success moments. Use when designing interactive feedback, success states or loaders.

Why use Micro Interactions on TypingMind?

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

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

Which AI models can use Micro Interactions?

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 Micro Interactions?

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

Is the Micro Interactions AI skill free?

Yes. It is published on GitHub by dembrandt 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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