Attention Grabbers logo

Attention Grabbers

Community
dylantarre
attention-grabbers

Use when drawing user focus - notification badges, new feature highlights, error callouts, promotional banners, or any animation meant to attract attention.

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill nameattention-grabbers
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 Attention Grabbers 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/05-by-animation-type/attention-grabbers .claude/skills/attention-grabbers
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Attention Grabbers 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 Attention Grabbers 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 Attention Grabbers 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.

Attention-Grabbing Animations

Apply Disney's 12 principles to focus-drawing motion.

Principle Application

Squash & Stretch: Pulsing scale draws attention. 1.0 → 1.1 → 1.0 cycle catches peripheral vision.

Anticipation: Brief pause before attention animation. Let it build then release.

Staging: Position attention elements where users will see them. Corner badges, inline highlights.

Straight Ahead vs Pose-to-Pose: Design attention states: rest, active/pulsing, acknowledged.

Follow Through & Overlapping: Badge pulses, then count updates. Stagger the attention signals.

Slow In/Slow Out: Ease in/out on pulses. Smooth oscillation is less jarring than sharp bounces.

Arcs: Shake animations follow arc patterns. Left-right with slight vertical oscillation.

Secondary Action: Pulse + glow + color shift for maximum attention (use sparingly).

Timing:

  • Single attention grab: 300-500ms
  • Repeating pulse: 2000-3000ms cycle
  • Urgent pulse: 1000-1500ms cycle
  • Decay: Stop after 3-5 cycles or 10 seconds

Exaggeration: This is where exaggeration shines. Scale to 1.2, bright colors, bold motion.

Solid Drawing: Attention elements must still feel part of the UI, not floating or detached.

Appeal: Attention should feel like helpful notification, not aggressive demand.

Timing Recommendations

Attention TypeDurationCyclesDecay
Badge Pulse300ms2-3Stop after animation
Notification Dot2000ms36 seconds total
New Feature500ms2Stay subtle
Error Shake400ms1None
Urgent Alert1000msinfiniteUntil dismissed
Promotional3000ms26 seconds

Implementation Patterns

css
/* Pulse attention */
.badge-pulse {
  animation: pulse 2000ms ease-in-out 3;
}

@keyframes pulse {
  0%, 100% { transform: scale(1); }
  50% { transform: scale(1.15); }
}

/* Subtle glow */
.glow-attention {
  animation: glow 2000ms ease-in-out 3;
}

@keyframes glow {
  0%, 100% { box-shadow: 0 0 0 0 rgba(59, 130, 246, 0); }
  50% { box-shadow: 0 0 0 8px rgba(59, 130, 246, 0.3); }
}

/* Error shake */
.shake {
  animation: shake 400ms ease-in-out;
}

@keyframes shake {
  0%, 100% { transform: translateX(0); }
  20%, 60% { transform: translateX(-8px); }
  40%, 80% { transform: translateX(8px); }
}

/* Ring animation (notification) */
.ring {
  animation: ring 2500ms ease-in-out 2;
}

@keyframes ring {
  0%, 100% { transform: rotate(0); }
  10%, 30% { transform: rotate(10deg); }
  20%, 40% { transform: rotate(-10deg); }
  50%, 100% { transform: rotate(0); }
}

Attention Budget

javascript
// Auto-stop attention after timeout
const attention = element.animate([
  { transform: 'scale(1)' },
  { transform: 'scale(1.15)' },
  { transform: 'scale(1)' }
], {
  duration: 2000,
  iterations: 3
});

// Or with CSS
setTimeout(() => {
  element.classList.remove('attention');
}, 6000);

Key Rules

  1. Maximum 1 attention animation visible at a time
  2. Auto-stop after 3-5 cycles (10 seconds max)
  3. Provide way to permanently dismiss
  4. Never use for non-essential content
  5. prefers-reduced-motion: static indicator only, no animation
  6. Urgent animations must have audio/haptic alternative for accessibility

Frequently asked questions

What does the Attention Grabbers AI skill do?

Use when drawing user focus - notification badges, new feature highlights, error callouts, promotional banners, or any animation meant to attract attention.

Why use Attention Grabbers on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dylantarre/animation-principles/tree/main/skills/05-by-animation-type/attention-grabbers. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Attention Grabbers?

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 Attention Grabbers?

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

Is the Attention Grabbers 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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