Latest upstream author date included at this registry's pinned revision.

gke-custom-golden-image-discovery

Synced v1.0.0 License: Apache-2.0 Source: google/skills/skills/cloud/gke-custom-golden-image-discovery Commit: 99c871e Latest included change:

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).

Summary

Purpose
Maps a GKE version and node settings to the matching golden base image for a custom node image.
When to use
Use it when a GKE version is available but node-image settings need to be inferred from OS, architecture, hardware, sandboxing, security, or cgroup clues.
Outputs
It provides the matching golden base image name or reports when the requested GKE version is unsupported.
Upstream changes (2, latest included 2026-09-21)
becc4b8 Enforce semantic versioning (MAJOR.MINOR.PATCH) for skills. Adds `metadata.version: "1.0.0"` to the GKE custom golden image discovery skill.
c4386c3 Add custom golden image discovery skill Adds a GKE golden base image discovery skill that infers node settings from user context and maps them to base images.
npx skills add "lettucebo/Skills#v2.2.0@gke-custom-golden-image-discovery" --full-depth

⚠ Available after v2.2.0 is published

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"

History

v1.0.0 mapping-added 99c871e