Agent skill

Find Animation Opportunities

by Asymmetric-al in Asymmetric-al/core

Inspect a Core UI or code surface for a small number of justified motion opportunities and explicitly identify what should remain static.

AGPL-3.0Auto-check passedFrontend & Design

Install Find Animation Opportunities

skills CLI
$ npx skills add Asymmetric-al/core --skill find-animation-opportunities -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Asymmetric-al/core find-animation-opportunities --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Asymmetric-al/core.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/find-animation-opportunities .claude/skills/find-animation-opportunities && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
find-animation-opportunities
GitHub stars
381
Token cost
~1.5k tokens
SKILL.md length
698 words
Files
2 (incl. references)
Skills in repo
43
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Inspect a Core UI or code surface for a small number of justified motion opportunities and explicitly identify what should remain static.

  • Works in 4 steps: Read docs/ai/rules/frontend.md, then → Core's tokens, Base UI primitives,… → Use improve-animations to audit or plan… → …
  • Asked what should animate
  • SKILL.md covers Triggers, Authority and boundaries, Candidate gate and Workflow, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Find Animation Opportunities is an agent skill from Asymmetric-al/core. 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.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/upstream.md`).

It sits in Frontend & Design. The repository describes itself as: A high-performance, enterprise-grade Next.js 16 application for mission-focused non-profit organizations. Built for high impact teams. The licence is AGPL-3.0.

When your agent uses it

  • Asked what should animate
  • Where motion would improve feedback
  • How to make an interface feel more alive without over-animating it
  • Whether a proposed animation is worth adding

Example prompts

  • “/find-animation-opportunities”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read docs/ai/rules/frontend.md, then
  2. Core's tokens, Base UI primitives, shared utilities, route-transition
  3. Use improve-animations to audit or plan fixes for existing motion and
  4. This skill reports evidence and recipes only. Do not edit source, write plan

What it can do on your machine

Read from SKILL.md and the folder at commit c30c8ff. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Find Animation Opportunities loads about 1.5k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 698 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Asymmetric-al/core at commit c30c8ff, republished under its AGPL-3.0 licence (© Asymmetric-al). 698 words, ~1,546 tokens.

Download SKILL.mdSave it as .claude/skills/find-animation-opportunities/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
find-animation-opportunities
description
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.

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.
Show full SKILL.md (258 more words)Show less

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.

© Asymmetric-al, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in .agents/skills/find-animation-opportunities of Asymmetric-al/core.

  • SKILL.md
  • references/upstream.md

Open the folder on GitHubat commit c30c8ff

Compare with similar skills

Find Animation Opportunities next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Find Animation Opportunities compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Find Animation Opportunities this skillAsymmetric-al/core381—~1.5kAutomated safety check: PassAGPL-3.0
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React Doctormakeplane/plane61k12 repos~657Automated safety check: PassAGPL-3.0
Impeccablebestofjs/bestofjs3.1k26 repos~2.6kAutomated safety check: PassMIT
Figma Design System Builderwarpdotdev/warp65k2 repos~4.4kAutomated safety check: PassAGPL-3.0
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone

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Questions about Find Animation Opportunities

What does Find Animation Opportunities do?

Inspect a Core UI or code surface for a small number of justified motion opportunities and explicitly identify what should remain static. Find Animation Opportunities is an agent skill from Asymmetric-al/core. Inspect a Core UI or code surface for a small number of justified motion opportunities and explicitly identify what should remain static.

When should I use Find Animation Opportunities?

Find Animation Opportunities fits situations like: asked what should animate; where motion would improve feedback; how to make an interface feel more alive without over-animating it; whether a proposed animation is worth adding.

How do I install Find Animation Opportunities in Claude Code?

Run `npx skills add Asymmetric-al/core --skill find-animation-opportunities -a claude-code`. Or copy the skill folder (.agents/skills/find-animation-opportunities in Asymmetric-al/core) into .claude/skills/find-animation-opportunities in your project. Claude Code loads it when a task matches its description.

How do I install Find Animation Opportunities in Codex?

Run `npx skills add Asymmetric-al/core --skill find-animation-opportunities -a codex`. Or copy the skill folder (.agents/skills/find-animation-opportunities in Asymmetric-al/core) into .agents/skills/find-animation-opportunities in your project. Codex loads it when a task matches its description.

Can I use Find Animation Opportunities in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Asymmetric-al/core --skill find-animation-opportunities -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/find-animation-opportunities, .gemini/skills/find-animation-opportunities, .github/skills/find-animation-opportunities and .opencode/skills/find-animation-opportunities in your project.

What does Find Animation Opportunities need to run?

SKILL.md names no scripts, command-line tools or credentials: Find Animation Opportunities is instructions for the agent only.

Does Find Animation Opportunities access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Find Animation Opportunities safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Find Animation Opportunities use?

Find Animation Opportunities is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Find Animation Opportunities use?

About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 461 tokens, read only when the agent opens those files.

What are the alternatives to Find Animation Opportunities?

Skills that share tags, products or a category with Find Animation Opportunities: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Find Animation Opportunities?

Asymmetric-al (a GitHub organization) maintains it in Asymmetric-al/core, which has 381 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 9, 2026.

Source: Asymmetric-al/core on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.