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google/gke-custom-golden-image-discovery

google

gke-custom-golden-image-discovery

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).

v1.0LATEST
New~963Updated Aug 31, 2026

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"

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Overall Score

78/100

Grade

B

Good

Safety

82

Quality

75

Clarity

82

Completeness

68

Summary

This skill helps users discover the correct golden base image for creating custom GKE node images by mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names. It performs context inference, fetches JSON metadata from Google's API, and applies filtering logic to match configurations to base image identifiers.

Detected Capabilities

network request (curl)json parsingpattern matching and filteringcontext inferenceerror handling for invalid input

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

gke base image discoverygolden image for gkegke custom node imagegke image mappinggke node configuration

Risk Signals

INFO

Outbound network request to www.gstatic.com for JSON metadata

Discovery Workflow, step 3
INFO

URL construction using user-provided GKE version in API path

Discovery Workflow, step 3 (node-config-to-base-images-<MINOR_VERSION>.json)

Referenced Domains

External domains referenced in skill content, detected by static analysis.

www.apache.orgwww.gstatic.com

Use Cases

  • Finding golden base images for GKE custom node creation
  • Mapping cluster configuration (version, OS, hardware) to base image names
  • Querying GKE base image metadata and discovering available configurations
  • Inferring missing parameters from user context clues (hardware mentions, security requirements)
  • Debugging image selection for custom GKE node pools with specialized hardware

Quality Notes

  • Skill provides comprehensive context clues table with sensible defaults, enabling intelligent inference when user input is incomplete
  • Clear 6-step discovery workflow with logical progression from information gathering to output
  • Example output demonstrates expected format and helps set expectations for the agent
  • Explicit scope boundaries: distinguishes itself from gke-cluster-creation and gke-basics skills
  • Metadata requirements and filter logic are well-documented, making implementation unambiguous
  • Would benefit from: error handling examples (network failures, API unavailable, version mismatch), edge cases (deprecated GKE versions), handling when no matches found after toggle attempts
Model: claude-haiku-4-5-20251001Analyzed: Aug 31, 2026

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