Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/spree/spree/apple-designnpx skills add spree/spree --skill apple-designgit clone --depth 1 https://github.com/spree/spreeWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00080 | $0.05089 |
| Opus 5 | $0.00040 | $0.02544 |
| Sonnet 5 | $0.00016 | $0.01018 |
| Haiku 4.5 | $0.00008 | $0.00509 |
Grade A, and why
apple-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to apple-design — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
/* Feedback lives on the press, and it's instant */
.button:active {
transform: scale(0.97);
transition: transform 100ms ease-out;
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 283 lines · 80 tokens per session scan A 11840b24a11d
apple-design is a skill published in the GitHub repository spree/spree (15,658 stars, last pushed yesterday), licensed BSD-3-Clause. It adds 80 tokens to every session and 5,089 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to apple-design, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
update-tax-rates
Verify and update the bundled tax rate tables (Swiss ch-tax-rates.json, EU eu-tax-rates.json, UK uk-tax-rates.json, US us-tax-rates.json in packages/plugins/src/pricing/tax/) against their official sources. Use when a tax/VAT rate change is announced or takes effect anywhere, for the periodic yearly verification, or…
upgrade-unchained
Guides upgrading Unchained Engine to a new major version. Use when the user wants to upgrade their Unchained project, mentions updating @unchainedshop packages, or asks about migration.
backlog
Read, work, and maintain a Git repo's deferred-work items in docs/backlog/, one file per item. Use when the user says "backlog", "check backlog", "what's on my backlog", "work the backlog", "address the backlog", "add to backlog", "clean up backlog", or when a review or task produced items that are real but not being…
clarify
This skill should be used when user appears confused, frustrated, or shows misalignment between expectations and reality. Triggers on phrases like "I don't understand", "this doesn't make sense", "confused", "wait, shouldn't it...", "why is this happening", "I thought X did Y", contradictory statements, or frustration…
writing-style
Use for technical communication - GitHub/GitLab tickets, PR/MR descriptions, issue comments, code review comments, commit messages. Direct, brief style with no AI-speak. NOT for README.md, public docs, or blog posts.
dialectic
Prove and counter-prove a statement using parallel agents to eliminate confirmation bias. Use when someone says "dialectic", "prove/disprove", "stress test this claim", "is this really true", "argue both sides", or when a statement needs objective analysis from opposing viewpoints.