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Spark Environment Setup

Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.

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Overview

What It Does

Spark Environment Setup packages a focused coding & development workflow for an AI agent. Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.

Task ideas

Popular Use Cases

  • Review and improve a code change
  • Automate a repeatable development task
  • Investigate failures and prepare a fix
  • Work with repositories and developer tooling

Installation

Install this Agent Skill

Claude Code

npx skills add https://github.com/wshobson/agents --skill spark-environment-setup

Commands derived from the public GitHub SKILL.md record. Checked 2026-09-02. Review the source before running them.

Before you start

Requirements

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Popularity context

Why It’s Popular

Spark Environment Setup is a verified Agent Skill from wshobson with a public SKILL.md, compatible with Claude Code, Codex.

Alternatives

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