Configure DGX Lab dashboard environments on NVIDIA DGX Spark hardware.
npx skills add https://github.com/jxtngx/dgx-lab --skill fork-setup
Please help me install this Agent Skill. Skill: fork-setup Source: https://github.com/jxtngx/dgx-lab/tree/main/.cursor/skills/fork-setup Command: npx skills add https://github.com/jxtngx/dgx-lab --skill fork-setup
This Skill streamlines the complex setup process for the DGX Lab dashboard, ensuring that hardware prerequisites, environment variables, and service dependencies are correctly configured for your specific DGX Spark or GPU-enabled machine.
Run the fork-setup skill to verify your system prerequisites and initialize the backend and frontend services for your local DGX Lab instance.
High-intent search queries and answers about installing and using this skill.
This setup process configures your local development and production environment by validating nvidia-smi access, installing Python, Bun, and Docker dependencies, and setting environment variables for model storage and memory allocation.
Before deploying the DGX Lab dashboard, you need Python, uv, Bun, and Docker installed on your machine. The setup process automatically checks for these system dependencies and configures reverse proxy settings for local or remote access.
The setup process is designed specifically for NVIDIA DGX Spark hardware but can run on GPU-enabled machines. It validates nvidia-smi access to ensure system compatibility before configuring model caches, experiment directories, and memory budgets.
You can set environment variables for model storage and memory allocation by running the setup skill, which provides a structured path to configure model caches, experiment directories, and memory budgets tailored to your specific DGX Spark hardware.
Validating nvidia-smi access is required during setup to ensure your system has compatible NVIDIA GPU hardware and drivers. This validation guarantees that the DGX Lab dashboard can properly allocate memory and manage model storage on your machine.
Yes, the setup process configures reverse proxy settings for either local or remote access. This allows you to launch and manage your development or production stack from a remote machine after validating your system prerequisites.
BagelHoleConfigure NVIDIA GPU servers with drivers, CUDA, and MIG partitioning.
signalbeam-ioStart the Aspire AppHost locally with preflight checks and optional frontend launch.
jxtngxScaffold FastAPI routers and Next.js pages for DGX Lab dashboard tools.
ImperialAutomationAudit localization, environment variables, dependencies, and Docker configurations.
