An expert-level AI agent skill for architecting and debugging high-performance SwiftUI applications specifically for the macOS platform.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install swiftui-macos
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install swiftui-macos using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
SwiftUI for macOS is a specialized tool within the Openclaw Skills ecosystem designed for developers building desktop applications. It transcends basic syntax help by providing a deep, runtime-level understanding of how SwiftUI behaves on macOS. The skill focuses on the intricacies of the observation registrar, the attribute graph, and strict concurrency models, ensuring that applications are not only functional but optimized for the unique hardware and software constraints of the Mac.
By leveraging this skill, developers can avoid common pitfalls like observation cascades and identity thrashing. It is specifically tuned for modern environments requiring Swift 6.2 and macOS 26+, making it an essential companion for building future-proof software that integrates deeply with AppKit when necessary while maintaining a SwiftUI-first architecture.
To integrate this skill into your workflow, ensure your project targets macOS 26+ and Swift 6.2. You can initialize the environment using the following command:
# Ensure your environment has access to the Openclaw Skills directory
openclaw install swiftui-macos
Configure your build settings to enable Strict Concurrency and verify that your filesystem is accessible to load the reference documentation on demand.
The SwiftUI for macOS skill utilizes a modular reference system to manage its technical knowledge base:
| Reference Module | Data Focus |
|---|---|
| observation.md | @Observable, @State, and data-driven view lifecycles |
| concurrency.md | Task management, Actor isolation, and AsyncStreams |
| performance.md | View composition, animations, and large collection optimization |
| platform.md | AppKit bridging, window management, and macOS-specific chrome |
| api.md | Modern Swift idioms and deprecated pattern migration |
| accessibility.md | VoiceOver, keyboard navigation, and motion settings |
Loading
A high-performance web search skill that connects your AI agent to the Tavily Search API for real-time information retrieval.

An AI-driven signal aggregator that filters for high-conviction ETF trading ideas based on analyst consensus.

A versatile tool for AI agents to perform keyword-based web searches and extract full-page content into clean markdown format.

A virtual pet care skill that challenges AI agents to balance discipline and affection while raising a stubborn but loyal Terrier dog.

A sophisticated analytical tool that deconstructs viral content into reusable structural building blocks and psychological patterns.

A sophisticated virtual pet skill for AI agents that features complex temperature and hunger management mechanics.








































