gke-custom-golden-image-discovery
Discovers golden base images for creating GKE custom node images based on technical specifications or context clues
Install / Use
npx skills add google/skills --skill gke-custom-golden-image-discoveryInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of gke-custom-golden-image-discovery
gke-custom-golden-image-discovery scores 79/100 on our quality scale, 899th of 1,995 Development & Engineering skills we index (top 46%).
Its SKILL.md is 3.9 KB long, split into 4 sections and no code examples: a solid amount of guidance for an agent.
With 20,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 2 days ago, so gke-custom-golden-image-discovery is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
gke-custom-golden-image-discovery compared with similar skills
All 4 of these similar skills score higher than gke-custom-golden-image-discovery; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| gke-custom-golden-image-discovery (this skill)by google | 79 | 20.3k | 2d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.0k | 5d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | today | CLAUDE.md |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install gke-custom-golden-image-discovery?
- Run
npx skills add google/skills --skill gke-custom-golden-image-discovery. The install tabs above show the steps for each supported agent. - Which AI agents does gke-custom-golden-image-discovery work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is gke-custom-golden-image-discovery safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is gke-custom-golden-image-discovery still maintained?
- The repository was last updated 2 days ago, so gke-custom-golden-image-discovery is actively maintained.
Skill content
View source on GitHubname: gke-custom-golden-image-discovery metadata: version: "1.0.0" 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
- 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>.json - Filter Logic:
- Match
versionexactly. - Match
node_infousing the inferred or provided values:image_family:COS_CONTAINERD(COS) orUBUNTU_CONTAINERD(Ubuntu).- Other fields match exactly.
- Match
- 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"
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
