Skip to content
TrustedSkillsbeta
Back to all skills

Programming Swift Embedded

Checked
nonameplum·vlatest·frontend

Generates Swift code snippets for embedded systems UI development, optimizing performance and resource usage.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add nonameplum/agent-skills --skill programming-swift-embedded -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

nonameplum

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

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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

    Only contacts known or declared hosts: github.com, raw.githubusercontent.com.

    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.

    Hosts contacted

    github.comsource hostraw.githubusercontent.comsource host

  • 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 nonameplum/agent-skills at 26f9ebd26d.

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

Commit
26f9ebd26d
Manifest
programming-swift-embedded/SKILL.md
Scanned
21 files, 2,235 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 allows an AI agent to write, debug, and understand Swift code specifically for embedded systems. It can generate code snippets for interacting with hardware peripherals like sensors and actuators, as well as manage low-level memory allocation common in resource-constrained environments. The agent can also assist in porting existing Swift codebases to embedded platforms.

When to use it

  • Developing firmware: Generate Swift code for microcontrollers controlling IoT devices or other embedded systems.
  • Hardware interaction: Create code to read data from sensors (e.g., temperature, pressure) and control actuators (e.g., motors, LEDs).
  • Porting existing projects: Adapt Swift applications designed for standard platforms to run on embedded hardware.
  • Debugging embedded systems: Analyze and correct errors in Swift code running on embedded devices.

Key capabilities

  • Swift programming language proficiency
  • Embedded system architecture knowledge
  • Hardware peripheral interaction
  • Low-level memory management
  • Code debugging and analysis

Example prompts

  • "Write a Swift function to read temperature data from an I2C sensor."
  • "Generate code to control a stepper motor using PWM in Swift for embedded systems."
  • "Debug this Swift code snippet that's causing my microcontroller to crash during initialization."

Tips & gotchas

This skill requires some familiarity with embedded system concepts and hardware. The agent may need additional context about the specific hardware being used to generate accurate and functional code.