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Apple Engineer Superpowers

Checked
piemonte·v1.0.0·backend·MIT

Use when writing Swift code for Apple platforms - iOS, macOS, visionOS. Covers Swift 6 concurrency, actors, Sendable, async/await, SwiftUI, MVVM architecture, Metal GPU programming, RealityKit ECS, visionOS scenes, interpolation/animation, advanced collection types, property wrappers, Combine bridging, error handling, testing, and API design patterns.

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install apple-engineer-superpowers

What we know about this skill

Publisher

piemonte

Taken from the source listing. We haven't verified who controls this account.

Install target

Pinned to 8edc1ef1

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned piemonte/apple-engineer-superpowers at 8edc1ef1a0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Manifest
SKILL.md
Scanned
12 files, 3,613 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides comprehensive knowledge of Apple platform engineering for AI coding assistants. It covers Swift 6 concurrency, SwiftUI, Metal GPU programming, RealityKit & visionOS development, and advanced Swift patterns – areas often overlooked by other skills. The goal is to enable your AI agent to generate correct, modern Swift code reflecting best practices from experienced Apple engineers.

When to use it

  • Complex Concurrency: When you need robust asynchronous operations with isolation, error handling, and cancellation (e.g., building a network service).
  • GPU Programming: For tasks involving video processing or rendering using Metal compute shaders.
  • Spatial Computing: Developing immersive experiences for visionOS that leverage hand tracking and multi-window scenes.
  • Modern SwiftUI Architecture: Refactoring existing code to utilize @Observable and improve data flow within your application.

Key capabilities

  • Swift 6 concurrency (actors, Sendable, AsyncSequence)
  • Metal GPU programming (compute/render pipelines, ring buffers)
  • RealityKit & visionOS development (entity-component-system architecture, hand tracking)
  • Advanced Swift patterns (enum-keyed tables, async broadcast channels, interpolation)

Example prompts

  • "Build me a network service with retry and cancellation."
  • "Create a Metal compute shader that processes video frames."
  • "Add a hand-tracking interaction to my visionOS app."

Tips & gotchas

This skill provides detailed references; it's not a simple checklist. Expect the AI agent to generate more complex code structures reflecting production-ready patterns and best practices.