القائمة
Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
TDD and testing skills for iOS/macOS apps. Covers characterization tests, TDD workflows, test contracts, snapshot tests, test infrastructure, and deterministic quality gates (fitness functions, coverage ratchet, mutation testing). Use for test-driven development, adding tests to existing code, or building test infrastructure.
Set up SwiftUI visual regression testing with swift-snapshot-testing. Generates snapshot test boilerplate and CI configuration. Use for UI regression prevention.
Gate test coverage with a ratchet — a committed baseline that coverage may never drop below and only ever rises. Ships a coverage-gate script (xccov-based) plus an advisory CRAP report (complexity × uncovered). Use when agent-written code needs a deterministic "tests were actually written" check.
Enforce complexity and size limits on Swift code with SwiftLint threshold rules — cyclomatic complexity, function/type/file length, parameter count — adopted via a violations baseline so existing code never blocks. Use when agent-written code needs deterministic size constraints.
Swift language patterns and best practices including concurrency, performance, and modern idioms. Use for Swift language-level code review or architecture guidance.
Write architecture fitness functions — deterministic tests that enforce a project's hard rules (module boundaries, offline guarantees, content contracts) from inside its own test target. Use when a constraint lives only in prose (CLAUDE.md, code review) and should become un-arguable.
| name | apple-intelligence |
| description | Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features. |
| allowed-tools | ["Read","Write","Edit","Glob","Grep","Bash","AskUserQuestion"] |
| last_verified | "2026-07-16T00:00:00.000Z" |
| review_by | "2027-06-22T00:00:00.000Z" |
| os_version | iOS 27 / macOS 27 |
Skills for implementing Apple Intelligence features including on-device LLMs, visual recognition, App Intents integration, and intelligent assistants.
Use this skill when the user:
On-device LLM integration with prompt engineering best practices.
safety-and-guardrails.md — model limits, the instructions-over-prompts hierarchy, guardrail handling, the four-layer safety stack, evalsmodels-and-agents.md — Private Cloud Compute, LanguageModel protocol (third-party backends), vision input, DynamicProfile agents, tool-calling modes, KV-cache rulesIntegrate with iOS Visual Intelligence for camera-based search.
App Intents for Siri, Shortcuts, Spotlight, and Apple Intelligence.
model.contextSize, never hardcode (4,096 first-gen on-device; 8,192 iOS 27 on-device; 32,000 Private Cloud Compute)~/Downloads/docs/ contains FoundationModels-Using-on-device-LLM-in-your-app.md, Implementing-Visual-Intelligence-in-iOS.md, or AppIntents-Updates.md, read them for extra detail; skip silently if absent.