Apple Design
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
Supply asset profile
Design and creative production
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills@latest add emilkowalski/skills
Maintenance
fresh
Pushed today
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
7.9K
100/100 quality · 93/100 trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Agent install candidate
Use as the primary candidate after human or sandbox review.
Stars
7.9K GitHub stars
Repo activity
7.9K stars, 436 forks
Maintenance
Pushed today
License
MIT
Install
npx skills@latest add emilkowalski/skills
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Low metadata risk
- No major trust warnings detected from available metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills@latest add emilkowalski/skills
- Policy
- allow
- Human review
- no
Trust and risk
- Trust
- 90/100
- Audit
- 95/100
- Risk level
- Safe to try
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills@latest add emilkowalski/skillsDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- No major trust warnings detected from available metadata
- Production credentials, payments, or irreversible account changes without explicit human review
Agent safety v2
91/100 · Safe to install with normal review
Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.
Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills@latest add emilkowalski/skillsAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Apple%20Design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Apple%20Design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/emilkowalski-apple-design/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Apple Design in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Apple%20Design%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/emilkowalski-apple-design/install
Install command: npx skills@latest add emilkowalski/skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/emilkowalski-apple-design/install
LLM text format
/api/skills/emilkowalski-apple-design/install?format=text
Find alternatives
/api/skills/search?q=Apple%20Design&limit=3
Agent prompt
Use Apple Design for this task. Review https://www.openagentskill.com/api/skills/emilkowalski-apple-design/install, then install with: npx skills@latest add emilkowalski/skillsRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/emilkowalski-apple-design
LLM text
/api/registry/manifest/emilkowalski-apple-design?format=text
Install alias
/api/registry/install/emilkowalski-apple-design
Recommend
/api/registry/recommend?task=Use%20Apple%20Design%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Codex, Cursor, OpenAI Agents
Audit report
Safe to try · 95/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for GitHub automation
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 7,906 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
- 2 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Review then install
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS7.9K GitHub stars
Stars/forks activity
PASS7.9K stars, 436 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Create assets
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
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Overview
--- name: apple-design description: Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces. ---
# Apple Design
How Apple builds interfaces that stop feeling like a computer and start feeling like an extension of you. This knowledge comes from Apple's WWDC design talks — chiefly *Designing Fluid Interfaces* (WWDC 2018) — distilled and translated into the web platform (CSS, Pointer Events, `requestAnimationFrame`, spring libraries like Motion/Framer Motion).
The through-line: **an interface feels alive when motion starts from the current on-screen value, inherits the user's velocity, projects momentum forward, and can be grabbed and reversed at any instant.** Springs are the tool that makes all of this natural, because they are inherently interruptible and velocity-aware.
## The Core Idea
> "When we align the interface to the way we think and move, something magical happens — it stops feeling like a computer and starts feeling like a seamless extension of us."
An interface is fluid when it behaves like the physical world: things respond instantly, move continuously, carry momentum, resist at boundaries, and can be redirected mid-motion. Everything below is a way to get closer to that.
Apple frames design as serving four human needs: **safety/predictability, understanding, achievement, and joy.** Every rule here serves one of them.
## 1. Response — kill latency
The moment lag appears, the feeling of directness "falls off a cliff." Response is the foundation everything else is built on.
- **Respond on pointer-down, not on release.** Highlight a button the instant it's pressed. Waiting for `click`/touch-up to show feedback feels dead. - **Be vigilant about every latency.** Audit debounces, artificial timers, transition waits, and the ~300ms tap delay. Anything on the input path that isn't essential is a regression. - **Feedback must be continuous *during* the interaction, not just at the end.** For a drag, slider, or drawer, update the UI 1:1 with the pointer the whole way through — never animate only when the gesture completes.
```css /* Feedback lives on the press, and it's instant */ .button:active { transform: scale(0.97); transition: transform 100ms ease-out; } ```
## 2. Direct manipulation — 1:1 tracking
> "Touch and content should move together."
When the user drags something, it must stay glued to the finger — and respect the offset from *where they grabbed it*. Snapping to the element's center on grab breaks the illusion immediately.
- Use Pointer Events with `setPointerCapture` so tracking continues even when the pointer leaves the element's bounds. - Track a short **velocity/position history** (last few `pointermove` events), not just the current point — you'll need velocity at release.
```js el.addEventListener('pointerdown', (e) => { el.setPointerCapture(e.pointerId); const grabOffset = e.clientY - el.getBoundingClientRect().top; // respect where they grabbed // ...track position + timestamp history for velocity }); ```
## 3. Interruptibility — the single most important principle
> "The thought and the gesture happen in parallel."
Every animation must be interruptible and redirectable at any moment. A user must be able to grab a moving element mid-flight and reverse it without waiting for the animation to finish. A closing modal the user grabs again should follow the finger — not finish closing first, then reopen.
- **Never lock out input during a transition.** - **Always animate from the *presentation* (current) value, never the target value.** On interrupt, read the element's live on-screen transform and start the new animation from there. Starting from the logical/target value causes a visible jump. - **Avoid CSS transitions and `@keyframes` for anything gesture-driven** — they can't be smoothly grabbed and reversed mid-flight. Springs animate from the current value by default, which is exactly what interruption needs. - **When a gesture reverses, blend velocity — don't hard-cut it.** Replacing one animation with another at a reversal creates a velocity discontinuity, a "brick wall." Spring libraries that carry velocity through a re-target avoid it. (This is what iOS's *additive animations* do natively; on the web, choose a spring library that re-targets from the current velocity.) - **Decompose 2D motion into independent X and Y springs.** A single spring on a 2D distance desyncs when X and Y have different velocities.
## 4. Behavior over animation — use springs
> "Think of animation as a conversation between you and the object, not something prescribed by the interface."
A pre-scripted, fixed-duration animation can't respond to new input. A spring can — new input just changes the target, and the motion stays continuous. Reach for springs for anything a user can touch.
Apple deliberately replaced the physics triplet (mass/stiffness/damping) with two designer-friendly parameters. Think in these:
- **Damping ratio** — controls overshoot. `1.0` = critically damped, no bounce, smooth settle. `< 1.0` = overshoots and oscillates. Lower = bouncier. - **Response** — how quickly the value reaches the target, in seconds. Lower = snappier. **This is not "duration"** — a spring has no fixed duration; its settle time emerges from the parameters.
**Defaults:** - Start most UI at **damping `1.0`** (critically damped) — graceful and non-distracting. - Add bounce (**damping ~`0.8`**) **only when the gesture itself carried momentum** (a flick, a throw, a drag release). Overshoot on a menu that just faded in feels wrong; overshoot on a card you flicked feels right.
**Concrete values Apple ships:
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 7/10/2026
- Published
- 7/10/2026
Frameworks & Tools
Decision snapshot
Primary pick
7,906 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 90/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent Proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for Apple Design, ready for a manual X post.
Most web agents fail in the boring part: messy pages, missing context, repeatable extraction. Apple Design gives agents a cleaner path to browse, extract, and monitor web pages. 7.9K stars https://www.openagentskill.com/skills/emilkowalski-apple-design?ref=x #AIAgents
Optional reply with install command
Listing + install path for Apple Design: https://www.openagentskill.com/skills/emilkowalski-apple-design?ref=x Install: npx skills@latest add emilkowalski/skills
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Emil Kowalski
- Source
- emilkowalski/skills
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This registry indexed listing is attributed to Emil Kowalski but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/emilkowalski-apple-design)
[](https://www.openagentskill.com/skills/emilkowalski-apple-design)
[](https://www.openagentskill.com/skills/emilkowalski-apple-design/audit)
[](https://www.openagentskill.com/skills/emilkowalski-apple-design)Author
Emil Kowalski✓
@emil-kowalski
Platform Fit
Health Signals
- GitHub stars
- 7.9K
- Quality score
- 72/100
- Last GitHub push
- Jul 9, 2026
- Framework hints
- 3
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Review then install
- GitHub adoption7.9K GitHub starsPASS
- Stars/forks activity7.9K stars, 436 forks; issue activity unavailable in current metadataPASS
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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