Agent Plugins Marketplace
← All plugins

dgx-spark-ops

v1.0.0

NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha preflights, and unified-memory/thermal management for local ML workloads

CodexClaude Code3 Skills

By Seth HobsonLicense: MIT39.9k GitHub starsUpdated 3 days ago

Directory evidence

Runtimes
Codex and Claude Code
Parsed components
3 skill or MCP entries
Source updated
Sep 21, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install dgx-spark-ops for Codex and Claude Code

Installs for the current user
codex plugin marketplace add wshobson/agents
codex plugin marketplace upgrade claude-code-workflows
codex plugin add dgx-spark-ops@claude-code-workflows

Paste and run these commands in a terminal with Codex. They add and refresh the claude-code-workflows catalog, then install this plugin.

Compatibility: the page URL and API slug “dgx-spark-ops” remain stable.

  • Codex: dgx-spark-ops@agent-plugin-marketplace → dgx-spark-ops@claude-code-workflows

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/wshobson/agents

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/dgx-spark-ops/.

Plugin files

plugins/dgx-spark-ops/
├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
├── skills/spark-environment-setup/SKILL.md
├── skills/spark-memory-thermal-ops/SKILL.md
└── skills/spark-training-gotchas/SKILL.md

Included Skills3

spark-environment-setupskills/spark-environment-setup/SKILL.md

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.

spark-memory-thermal-opsskills/spark-memory-thermal-ops/SKILL.md

Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.

spark-training-gotchasskills/spark-training-gotchas/SKILL.md

Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.

Plugin manifests2

plugins/dgx-spark-ops/.codex-plugin/plugin.json
{
  "name": "dgx-spark-ops",
  "version": "1.0.0",
  "description": "NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha preflights, and unified-memory/thermal management for local ML workloads",
  "skills": "./skills/",
  "author": {
    "name": "Seth Hobson",
    "email": "[email protected]"
  },
  "license": "MIT",
  "interface": {
    "displayName": "Dgx Spark Ops",
    "shortDescription": "NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha…",
    "category": "Coding"
  }
}
plugins/dgx-spark-ops/.claude-plugin/plugin.json
{
  "name": "dgx-spark-ops",
  "version": "1.0.0",
  "description": "NVIDIA DGX Spark (GB10 Grace Blackwell) environment operations: aarch64/CUDA-13 stack setup, training gotcha preflights, and unified-memory/thermal management for local ML workloads",
  "author": {
    "name": "Seth Hobson",
    "email": "[email protected]"
  },
  "license": "MIT"
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[dgx-spark-ops on Agent Plugins Marketplace](https://pluginsmp.com/plugins/dgx-spark-ops)