Agent Skills › NVIDIA/dgx-spark-playbooks › dgx-station

dgx-station

GitHub

指导 NVIDIA DGX Station GB300 开发，通过本地 CLI 检查系统状态并检索官方文档，提供软件兼容性、GPU 配置及容器化支持等问题的诊断与操作建议。

nvidia/station-ai-skills/assets/skills/dgx-station/SKILL.md NVIDIA/dgx-spark-playbooks

触发场景

DGX Station 平台故障排查 GB300 硬件兼容性查询 CUDA 或容器环境配置咨询

安装

npx skills add NVIDIA/dgx-spark-playbooks --skill dgx-station -g -y

更多选项

非标准路径

npx skills add https://github.com/NVIDIA/dgx-spark-playbooks/tree/main/nvidia/station-ai-skills/assets/skills/dgx-station -g -y

不安装直接使用

npx skills use NVIDIA/dgx-spark-playbooks@dgx-station

指定 Agent (Claude Code)

npx skills add NVIDIA/dgx-spark-playbooks --skill dgx-station -a claude-code -g -y

安装 repo 全部 skill

npx skills add NVIDIA/dgx-spark-playbooks --all -g -y

预览 repo 内 skill

npx skills add NVIDIA/dgx-spark-playbooks --list

SKILL.md

Frontmatter

{
    "name": "dgx-station",
    "description": "Inspect and guide NVIDIA DGX Station GB300 development using the local dgx-assist CLI and pinned NVIDIA playbooks. Use for general Station platform questions, Software 1.0 or 2.0 compatibility, GB300 or RTX GPU selection, UUID ordering, mixed ATS\/HMM coherency, CDMM, general containers, CDI, CUDA visibility, or vsloshd power-sloshing behavior. Do not use for vLLM or SGLang container selection or tuning, serving a named model, changing MIG, or troubleshooting a reported failure when the dedicated Station skill applies."
}

DGX Station

Ground every Station-specific answer in current host evidence and a retrieved NVIDIA passage.

Workflow

Run scripts/dgx-assist system inspect --json.
Read references/software-compatibility.md. Use compatibility.profile_id, support_level, and capabilities; do not branch on a version prefix.
Form a narrow playbook query from the user's question and run scripts/dgx-assist playbook search "<query>" --json.
Apply the source-precedence rules in references/sources.md. Use only passages applicable to the detected profile. Cite their URL, heading, line span, source commit, and source-file digest.
On the Software 1.0 capability-scoped profile, provide the supported inspection, diagnostics, compatibility guidance, and exact recipes qualified for that profile. Do not treat an absent Software 2.0-only service as a fault.
Before any platform action, require its named capability to be true. If it is false, explain the profile restriction separately from relevant read-only guidance.
If version_specific_guidance is false or retrieval abstains, say no applicable version-specific passage was found and avoid inventing a platform command.
Answer from the combined profile and applicable passage. Label unknown evidence as unknown.

Safety requirements

Before any mutating action, display the exact command to be run and obtain explicit user approval immediately before executing it. Never batch approvals or carry one forward to a later action.
Never assume an nvidia-smi index is a CUDA ordinal.
Use GPU UUIDs for every proposed launch. When multiple GPUs are deliberately visible, place the GB300 UUID first.
Do not apply either legacy or Software 2.0 mixed-device behavior without checking the detected profile and observed ATS/HMM state.
Do not tell the user to install or operate Fabric Manager as a normal Station requirement.
When mixed_coherency_service is true, inspect mixed-coherency-gpu-select.service, its generated environment, and container exposure separately.
When dynamic_power_sloshing is true, inspect vsloshd. Always inspect observed caps and never propose an ad hoc power-cap change.
Never install or change the driver, kernel, OS, firmware, or packages.
Never display credential values.

Read references/platform.md when interpreting coherency, container ordering, power, memory placement, or qualification evidence. Read references/software-compatibility.md before applying version-specific guidance. Read references/sources.md when guidance may come from the Development Guide or bring-up guide. Read references/cli.md for command and JSON details.