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Loading States

Community
dylantarre
loading-states

Use when indicating progress or waiting - spinners, progress bars, skeleton screens, shimmer effects, or any animation showing the system is working.

Overview

Publisherdylantarre
Repositoryanimation-principles
Skill nameloading-states
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 Loading States 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/loading-states .claude/skills/loading-states
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Loading States 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 Loading States 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 Loading States 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.

Loading State Animations

Apply Disney's 12 principles to communicate system activity.

Principle Application

Squash & Stretch: Progress indicators can pulse/breathe to show life. Slight scale oscillation (0.98-1.02).

Anticipation: Show loading state immediately on action. Don't wait for slow response to show spinner.

Staging: Loading indicators appear where content will be. Skeleton screens match final layout.

Straight Ahead vs Pose-to-Pose: Design loading as a sequence: instant indicator → progress → completion → content.

Follow Through & Overlapping: Loading fades as content enters. Overlap the transition by 100ms.

Slow In/Slow Out: Progress bars ease-in-out between known percentages. Indeterminate uses smooth oscillation.

Arcs: Circular spinners follow true circular paths. Avoid jerky rotation.

Secondary Action: Skeleton shimmer + subtle pulse. Multiple signals reinforce "loading."

Timing:

  • Show spinner after 200ms delay (avoid flash for fast loads)
  • Minimum display: 500ms (prevent jarring flash)
  • Skeleton shimmer cycle: 1500-2000ms

Exaggeration: Keep minimal - loading shouldn't distract, just reassure.

Solid Drawing: Skeletons should match content proportions. Wrong shapes break the illusion.

Appeal: Loading should feel optimistic, not tedious. Smooth motion suggests progress.

Timing Recommendations

Loading TypeAppear DelayMin DisplayAnimation Cycle
Spinner200ms500ms700-800ms
Progress Bar0ms-smooth fill
Skeleton0ms500ms1500ms shimmer
Button Spinner0ms400ms600ms
Full Page100ms800ms1000ms

Implementation Patterns

css
/* Skeleton shimmer */
.skeleton {
  background: linear-gradient(
    90deg,
    #e0e0e0 0%,
    #f0f0f0 50%,
    #e0e0e0 100%
  );
  background-size: 200% 100%;
  animation: shimmer 1500ms ease-in-out infinite;
}

@keyframes shimmer {
  0% { background-position: 200% 0; }
  100% { background-position: -200% 0; }
}

/* Spinner with smooth rotation */
.spinner {
  animation: spin 700ms linear infinite;
  opacity: 0;
  animation: fade-in 200ms 200ms ease-out forwards, spin 700ms linear infinite;
}

/* Progress bar with easing */
.progress-fill {
  transition: width 300ms cubic-bezier(0.4, 0, 0.2, 1);
}

Loading-to-Content Transition

css
.content-enter {
  animation: content-reveal 300ms ease-out forwards;
}

@keyframes content-reveal {
  from {
    opacity: 0;
    transform: translateY(10px);
  }
  to {
    opacity: 1;
    transform: translateY(0);
  }
}

Key Rules

  1. Delay spinner appearance by 200ms to avoid flash
  2. Keep loading visible minimum 500ms once shown
  3. Skeleton shapes must match real content dimensions
  4. Transition smoothly from loading to content - never pop
  5. Respect prefers-reduced-motion - show static indicator instead

Frequently asked questions

What does the Loading States AI skill do?

Use when indicating progress or waiting - spinners, progress bars, skeleton screens, shimmer effects, or any animation showing the system is working.

Why use Loading States on TypingMind?

Because you install it once and use it with any model. Loading States 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 Loading States 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/loading-states. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Loading States?

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 Loading States?

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

Is the Loading States 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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