Manage containerized app development and deployment on WendyOS edge devices.
npx skills add https://github.com/mihai-chiorean/inc --skill wendy-mihai-chiorean
Please help me install this Agent Skill. Skill: wendy Source: https://github.com/mihai-chiorean/inc/tree/main/skills/wendy Command: npx skills add https://github.com/mihai-chiorean/inc --skill wendy-mihai-chiorean
This skill simplifies the complex lifecycle of developing, deploying, and debugging containerized applications on WendyOS edge devices like NVIDIA Jetson and Raspberry Pi.
Ask the wendy skill to initialize a new project configuration and add the necessary network entitlements for your application.
High-intent search queries and answers about installing and using this skill.
You can deploy containerized applications to embedded Linux edge devices by using containerd-based deployment patterns to manage the end-to-end lifecycle on WendyOS hardware.
Yes, you can configure hardware entitlements for edge computing devices by defining security-first sandboxing and access rules for GPU, video, audio, and bluetooth via a wendy.json configuration file.
You can set up remote Swift debugging for IoT applications through seamless integration that provides remote debugging connections and observability via OpenTelemetry within your edge environment.
Yes, this orchestration approach works with NVIDIA Jetson and Raspberry Pi hardware by simplifying the complex development, deployment, and debugging lifecycle for containerized applications on these edge devices.
Yes, you need the wendy CLI tool to manage edge device network configurations, as it is required to streamline device discovery, WiFi configuration, and OS installation for edge hardware.
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