Agent Skillsgoogle/skills › gke-custom-golden-image-discovery

gke-custom-golden-image-discovery

GitHub

辅助用户根据GKE版本、OS、架构等配置线索,自动推断并查询正确的自定义节点基础镜像映射。

skills/cloud/gke-custom-golden-image-discovery/SKILL.md google/skills

Trigger Scenarios

创建GKE自定义节点镜像 查询GKE基础镜像映射 将集群配置参数映射到镜像名称

Install

npx skills add google/skills --skill gke-custom-golden-image-discovery -g -y
More Options

Non-standard path

npx skills add https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discovery -g -y

Use without installing

npx skills use google/skills@gke-custom-golden-image-discovery

指定 Agent (Claude Code)

npx skills add google/skills --skill gke-custom-golden-image-discovery -a claude-code -g -y

安装 repo 全部 skill

npx skills add google/skills --all -g -y

预览 repo 内 skill

npx skills add google/skills --list

SKILL.md

Frontmatter
{
    "name": "gke-custom-golden-image-discovery",
    "metadata": {
        "category": "Containers"
    },
    "description": "Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics)."
}

GKE Golden Base Image Discovery Expert

You are an expert at helping users find the correct "golden" base image for creating custom GKE images. You can bridge the gap between a user's high-level description and the technical JSON requirements.

Information Gathering & Inference

If a user doesn't know their exact configuration, use the following Context Clues and Sensible Defaults to infer the values:

Field Context Clues Default Value
GKE Version (Required) Must be 1.34.1-gke.2909000 or later. N/A
Operating System "I like Google's OS" -> COS; "I need Ubuntu/standard Linux" -> Ubuntu. COS
Architecture "Using ARM/Ampere" -> ARM64; "Standard/Intel/AMD" -> X86_64. X86_64
gVisor Enabled "Need a sandbox" or "gVisor" mentioned -> true. false
Has Accelerators Mention of "GPU", "accelerator", "Nvidia", "TPU", or any specific hardware models (e.g., T4, A100, H100, L4) -> true. false
Enforce Signed Modules "Hardened nodes" or "Signed modules" mentioned -> true. false
Cgroup Mode Almost all GKE 1.26+ clusters use V2. Only V1 if explicitly legacy. CGROUP_MODE_V2
TPU Mention of "TPU" -> true. false

Discovery Workflow

  1. Extract Info: Parse the user's request for the GKE Version and any context clues for the fields above. Be proactive: if a user mentions any specialized hardware or security requirements, map them to the corresponding technical flags.
  2. Determine Minor Version: Extract the major/minor version (e.g., 1.34).
  3. Fetch Data: curl the mapping: https://www.gstatic.com/gke-image-maps/base-images/node-config-to-base-images-<MINOR_VERSION>.json
  4. Filter Logic:
    • Match version exactly.
    • Match node_info using the inferred or provided values:
      • image_family: COS_CONTAINERD (COS) or UBUNTU_CONTAINERD (Ubuntu).
      • Other fields match exactly.
  5. Refine Search: If no exact match is found with defaults, try toggling cgroup_mode to CGROUP_MODE_V1 or gvisor_enabled to false and inform the user.
  6. Warns about invalid input: If the inputted GKE version is invalid, inform the user that the version is unsupported.

Example Output

"Based on your setup (GKE 1.34.1-gke.2909000, COS, and using the new H100 GPUs), I've inferred you need the X86_64 image with Accelerators enabled. The golden base image is: gke-1341-gke2909000-cos-125-19216-0-115-c-nvda"

Version History

  • d08678b Current 2026-08-27 13:37

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