dgx-station

GitHub

用于 NVIDIA DGX Station GB300 的开发检查与指导,通过本地 CLI 检索兼容性文档和 Playbook,提供平台配置、GPU 选择及容器可见性等问题的精确解答与安全操作指引。

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

触发场景

DGX Station 平台兼容性咨询 GB300 或 RTX GPU 选择建议 ATS/HMM 一致性或电源行为排查 CDI/CUDA 可见性配置查询

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/playbook-dgx-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

  1. Run scripts/dgx-assist system inspect --json.
  2. Read references/software-compatibility.md. Use compatibility.profile_id, support_level, and capabilities; do not branch on a version prefix.
  3. Form a narrow playbook query from the user's question and run scripts/dgx-assist playbook search "<query>" --json.
  4. 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.
  5. 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.
  6. 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.
  7. If version_specific_guidance is false or retrieval abstains, say no applicable version-specific passage was found and avoid inventing a platform command.
  8. 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.

版本历史

  • 3410c65 当前 2026-09-23 03:07

同 Skill 集合

nvidia/playbook-dgx-station-ai-skills/assets/skills/dgx-station-diagnose/SKILL.md
nvidia/playbook-dgx-station-ai-skills/assets/skills/dgx-station-mig/SKILL.md
nvidia/playbook-healthcare-agent/assets/skills/analysis-methods/SKILL.md
nvidia/playbook-healthcare-agent/assets/skills/case-summary/SKILL.md
nvidia/playbook-healthcare-agent/assets/skills/clinical-delegation/SKILL.md
nvidia/playbook-healthcare-agent/assets/skills/clinical-knowledge/SKILL.md
nvidia/playbook-healthcare-agent/assets/skills/cohort-compare/SKILL.md
nvidia/playbook-healthcare-agent/assets/skills/fhir-basics/SKILL.md
nvidia/playbook-healthcare-agent/assets/skills/molecular-viz/SKILL.md
nvidia/station-ai-skills/assets/skills/dgx-diagnose/SKILL.md
nvidia/station-ai-skills/assets/skills/dgx-station-diagnose/SKILL.md
nvidia/station-ai-skills/assets/skills/dgx-station-mig/SKILL.md
nvidia/station-ai-skills/assets/skills/mig-configure/SKILL.md
nvidia/station-ai-skills/assets/skills/sglang-setup/SKILL.md
nvidia/station-ai-skills/assets/skills/vllm-setup/SKILL.md
nvidia/station-healthcare-agent/assets/skills/analysis-methods/SKILL.md
nvidia/station-healthcare-agent/assets/skills/case-summary/SKILL.md
nvidia/station-healthcare-agent/assets/skills/clinical-delegation/SKILL.md
nvidia/station-healthcare-agent/assets/skills/clinical-knowledge/SKILL.md
nvidia/station-healthcare-agent/assets/skills/cohort-compare/SKILL.md
nvidia/station-healthcare-agent/assets/skills/fhir-basics/SKILL.md
nvidia/station-healthcare-agent/assets/skills/molecular-viz/SKILL.md
nvidia/playbook-dgx-station-ai-skills/assets/skills/dgx-station-inference/SKILL.md
nvidia/station-ai-skills/assets/skills/dgx-station-inference/SKILL.md
nvidia/station-ai-skills/assets/skills/dgx-station/SKILL.md

元信息

文件数
0
版本
3410c65
Hash
c6e7b748
收录时间
2026-09-23 03:07

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