wendy

Deploy Swift applications to ARM64 WendyOS edge devices with the wendy CLI.

62|5|Updated Jan 21, 2026

Search Tags:#deployment #edge computing #swift #embedded systems #ARM64 #wendyOS #wendy

Ready to run

npx skills add https://github.com/wendylabsinc/claude-skills --skill wendy-wendylabsinc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wendy
Source: https://github.com/wendylabsinc/claude-skills/tree/main/wendy
Command: npx skills add https://github.com/wendylabsinc/claude-skills --skill wendy-wendylabsinc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of building, deploying, and debugging Swift applications on WendyOS edge devices, streamlining the development workflow for embedded systems.

Core Features & Use Cases

App Deployment: Easily run Swift applications on ARM64 devices like NVIDIA Jetson and Raspberry Pi.
Configuration Management: Handles wendy.json for app settings and entitlements.
Remote Debugging: Facilitates debugging Swift code directly on the target device.
Use Case: Deploy a Swift-based computer vision application to an NVIDIA Jetson device for real-time object detection.

Quick Start

Use the wendy skill to initialize a new Wendy Lite project.

Frequently Asked Questions about wendy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I deploy Swift apps to ARM64 edge devices like NVIDIA Jetson or Raspberry Pi?▼

To deploy Swift apps to ARM64 edge devices, you use the wendy CLI to build and push your application directly to target hardware like NVIDIA Jetson or Raspberry Pi. The Skill provides guidance on initializing the project and managing the deployment workflow.

What is the wendy.json configuration file used for in edge computing deployments?▼

The wendy.json configuration file is used for managing app settings and entitlements for edge computing deployments. It defines permissions for network, GPU, video, audio, and Bluetooth access required by your Swift application on WendyOS devices.

Can I remotely debug Swift code running on embedded systems?▼

Yes, you can remotely debug Swift code running on embedded systems. The Skill facilitates remote debugging directly on the target ARM64 device, allowing you to troubleshoot your application's behavior on WendyOS edge hardware during development.

How do I configure hardware entitlements for GPU and Bluetooth access on WendyOS?▼

You configure hardware entitlements for GPU and Bluetooth access on WendyOS by defining them within the wendy.json configuration file. The Skill provides guidance on setting up common entitlements including network, GPU, video, audio, and Bluetooth permissions.

Does this Skill support deploying Swift computer vision applications to edge devices?▼

Yes, this Skill supports deploying Swift computer vision applications to edge devices. A core use case is deploying Swift-based real-time object detection applications to ARM64 hardware like NVIDIA Jetson devices for edge computing scenarios.