Gke Custom Golden Image Discovery
GoogleOfficialPublished by Google
- Skill
- Tool integration
- Cloud and DevOps
- Apache-2.0
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill assists users in identifying the appropriate golden base image required for building custom GKE node images. It bridges the gap between high-level user requirements and specific technical image identifiers by parsing configuration parameters such as GKE version, OS, architecture, and hardware acceleration needs. The skill follows a structured discovery workflow, including data retrieval from official GKE image maps and logical filtering to ensure compatibility with the user's cluster setup.
What it does
- Maps high-level cluster requirements to specific GKE golden base image names.
- Infers technical configuration values from natural language descriptions.
- Retrieves and parses official GKE base image mapping data.
- Validates GKE version compatibility for custom node image creation.
- Provides guidance on adjusting configuration parameters like cgroup modes or sandboxing to find valid image matches.
When to use it
- When you need to identify the base image for a custom GKE node pool.
- When you have a specific GKE version and need to map it to a compatible OS and architecture.
- When configuring nodes with specialized hardware like GPUs or TPUs.
- When you need to determine if a specific combination of gVisor, cgroups, and security settings is supported.
Advantages
- Reduces manual lookup time for complex GKE image versioning.
- Ensures technical accuracy by using official GKE image mapping data.
- Simplifies the selection process by providing sensible defaults for missing configuration details.
- Helps troubleshoot configuration mismatches by suggesting alternative parameter settings.
Usage examples
- “I need a golden image for GKE 1.34.1-gke.2909000 using Ubuntu on ARM64.”
- The agent retrieves the mapping file for version 1.34, filters for Ubuntu and ARM64, and returns the specific golden base image string.
- “Find me a base image for a hardened GKE 1.34 cluster with Nvidia GPUs.”
- The agent infers the need for accelerators and signed modules, then queries the image map to provide the correct image identifier for that hardware and security configuration.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/google/gke-custom-golden-image-discovery/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip gke-custom-golden-image-discovery.zip -d .agents/skills
Documentation by Google
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.
Attribution
MUST READ: Before executing any gcloud, REST API, or MCP command, you
MUST read Usage Attribution. For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix gcloud with
CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:gke-custom-golden-image-discovery)"
and append agent-skills/1.0 (skill:gke-custom-golden-image-discovery) to User-Agent headers.
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
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.
Determine Minor Version: Extract the major/minor version (e.g.,
1.34).Fetch Data:
curlthe mapping:https://www.gstatic.com/gke-image-maps/base-images/node-config-to-base-images-<MINOR_VERSION>.jsonFilter Logic:
Match
versionexactly.Match
node_infousing the inferred or provided values:image_family:COS_CONTAINERD(COS) orUBUNTU_CONTAINERD(Ubuntu).Other fields match exactly.
Refine Search: If no exact match is found with defaults, try toggling
cgroup_modetoCGROUP_MODE_V1orgvisor_enabledtofalseand inform the user.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"
Files
- ATTRIBUTION.mdAdded by AutoGineer884 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md4.3 KiB
- references/attribution.md1.9 KiB
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Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs network access, Needs Node.js
Security
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Attribution and licence
- Published by
- Publisher
- Google (Official)
- Source
- google/skills · skills/cloud/gke-custom-golden-image-discovery · commit 2194d3b
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download gke-custom-golden-image-discovery.zip