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Find Animation Opportunities

Organization
Asymmetric-al
find-animation-opportunities

Inspect a Core UI or code surface for a small number of justified motion opportunities and explicitly identify what should remain static. Use when asked what should animate, where motion would improve feedback or comprehension, how to make an interface feel more alive without over-animating it, or whether a proposed animation is worth adding. Read-only; do not use to review or fix existing motion code or to implement animations.

Overview

PublisherAsymmetric-al
Repositorycore
Skill namefind-animation-opportunities
Stars
383
Forks
7
Bundled files
1
LicenseAGPL-3.0
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Asymmetric-al on GitHub. Read the source before you install it.

Installation

Install the Find Animation Opportunities 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/Asymmetric-al/core.git /tmp/core
mkdir -p .claude/skills
cp -r /tmp/core/docs/ai/skills/find-animation-opportunities .claude/skills/find-animation-opportunities
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find Animation Opportunities 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 Find Animation Opportunities 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 Find Animation Opportunities 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.

Find animation opportunities

Find high-value motion by exercising restraint. A result with no surviving opportunities is valid; daily-use product UI usually benefits from less motion.

Triggers

  • Use when asked what should animate, where motion would improve an otherwise static interface, or which proposed motion ideas are worth pursuing.
  • Do not use to fix current animations, review a motion diff, or implement the recommendations; route those follow-ups to the existing motion skills.

Authority and boundaries

  1. Read docs/ai/rules/frontend.md, then docs/ai/skills/emil-design-engineering/SKILL.md and docs/ai/skills/anim/SKILL.md before judging a surface.
  2. Core's tokens, Base UI primitives, shared utilities, route-transition boundary, touch gates, and reduced-motion baseline override generic examples.
  3. Use improve-animations to audit or plan fixes for existing motion and review-animations only for an explicitly requested motion-diff review. Use motion later if an approved implementation needs motion/react details.
  4. This skill reports evidence and recipes only. Do not edit source, write plan files, install tooling, or change dependencies while it is active.

Candidate gate

Every recommendation must pass all five checks:

  1. Frequency and input: Reject decorative motion on keyboard-initiated, high-frequency, or information-dense interactions. Frequent feedback may use an existing near-imperceptible Core utility; it is not a new opportunity.
  2. Purpose: Name one purpose: feedback, spatial continuity, state clarity, preventing a jarring change, explanation, or rare delight. “Looks cool” fails.
  3. User value: Motion must make cause/effect, hierarchy, progress, or state easier to understand. It must not delay access to content or action.
  4. Existing ownership: Reject motion already supplied by Button, Base UI overlays, shared hover/press utilities, or RouteMainViewTransitionBoundary. Never stack a second entrance or hover grammar on top.
  5. Core feasibility: The recipe must use existing motion tokens/presets, avoid layout-driving properties, remain interruptible where state can reverse, preserve reduced-motion behavior, and gate hover motion to fine pointers.

Workflow

  1. Recon. Define the route/component scope, product personality, input methods, frequency, current motion owners, and performance/accessibility constraints. Inspect a running UI when available; otherwise state the limits of code-only evidence.
  2. Sweep seams. Look for abrupt occasional state changes, unclear spatial relationships, missing progress/feedback, rare empty/success/onboarding moments, and gesture transitions. Also inspect the places most likely to be over-animated so the report contains meaningful rejections.
  3. Gate candidates. Re-read every cited location and apply all five checks. Reject duplicates, speculative ideas, and anything already intentional.
  4. Specify survivors. Report at most five opportunities, ordered by leverage. Name the existing Core token, preset, utility, or primitive to reuse. Do not invent literal durations, easings, scales, or a parallel motion system.
  5. Report restraint. Include two to five rejected candidates and the exact gate that rejected each. If nothing survives, say that the interface should remain as-is.

High-value seams

  • Occasional content or status that appears, disappears, or swaps abruptly.
  • A panel or object whose origin/destination is unclear and is not already owned by a Base UI primitive or the shared route-transition layer.
  • Progress or completion feedback where motion would clarify causality.
  • Rare first-run, empty, success, or celebration moments that earn delight.
  • Gesture-driven surfaces that need continuity, interruptibility, or momentum.

Usually reject command palettes, keyboard shortcuts, dense tables, live charts, routine list navigation, page-load choreography, blanket scroll reveals, and decorative movement on data users are reading. Shared buttons already have press feedback; shared overlays and routes already have their own motion grammar.

Required report

Opportunities

#LocationCurrent seamPurposeFrequencyCore-compatible recipe

Each row needs exact file:line evidence and an existing Core mechanism. Mark anything requiring a live feel-check rather than pretending code proves taste.

Rejected candidates

LocationCandidate consideredRejection gateWhy static is better

Verdict

State how much motion the surface actually needs, the highest-leverage survivor if one exists, and whether a follow-up improve-animations plan <description> would be warranted.

Checklist

  • The inspected scope, frequency, inputs, and current motion owners are clear.
  • Every survivor passes purpose, value, ownership, and feasibility gates.
  • Recommendations reuse Core tokens/primitives without duplicate motion.
  • Performance, touch, keyboard, reduced motion, and interruptibility are covered.
  • The report has at most five opportunities plus explicit rejected candidates.
  • Findings cite exact files/lines and distinguish code evidence from feel checks.
  • No source, plan, dependency, or runtime file changed during the inspection.

Provenance

See references/upstream.md for the reviewed upstream source, MIT license, Core adaptations, and refresh workflow.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Find Animation Opportunities AI skill do?

Inspect a Core UI or code surface for a small number of justified motion opportunities and explicitly identify what should remain static. Use when asked what should animate, where motion would improve feedback or comprehension, how to make an interface feel more alive without over-animating it, or whether a proposed animation is worth adding. Read-only; do not use to review or fix existing motion code or to implement animations.

Why use Find Animation Opportunities on TypingMind?

Because you install it once and use it with any model. Find Animation Opportunities 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 Find Animation Opportunities in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Asymmetric-al/core/tree/develop/docs/ai/skills/find-animation-opportunities. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Find Animation Opportunities?

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 Find Animation Opportunities?

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

Is the Find Animation Opportunities AI skill free?

Yes. It is published on GitHub by Asymmetric-al under the AGPL-3.0 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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