Mirrord Operator
metalbear-co/mirrord
Help users install and configure the mirrord Operator for team/enterprise environments.
Discovers golden base images for creating GKE custom node images based on technical specifications or context clues.
Install Gke Custom Golden Image Discovery
$ npx skills add google/skills --skill gke-custom-golden-image-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install google/skills gke-custom-golden-image-discovery --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/gke-custom-golden-image-discovery .claude/skills/gke-custom-golden-image-discovery && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gke-custom-golden-image-discovery" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discovery into .claude/skills/gke-custom-golden-image-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-custom-golden-image-discovery", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discoveryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add google/skills --skill gke-custom-golden-image-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install google/skills gke-custom-golden-image-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cloud/gke-custom-golden-image-discovery .agents/skills/gke-custom-golden-image-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gke-custom-golden-image-discovery" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discovery into .agents/skills/gke-custom-golden-image-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-custom-golden-image-discovery", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google/skills --skill gke-custom-golden-image-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install google/skills gke-custom-golden-image-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cloud/gke-custom-golden-image-discovery .cursor/skills/gke-custom-golden-image-discovery && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gke-custom-golden-image-discovery" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discovery into .cursor/skills/gke-custom-golden-image-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-custom-golden-image-discovery", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/google/skills.git --path skills/cloud/gke-custom-golden-image-discovery--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add google/skills --skill gke-custom-golden-image-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install google/skills gke-custom-golden-image-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cloud/gke-custom-golden-image-discovery .gemini/skills/gke-custom-golden-image-discovery && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gke-custom-golden-image-discovery" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discovery into .gemini/skills/gke-custom-golden-image-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-custom-golden-image-discovery", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install google/skills gke-custom-golden-image-discoveryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add google/skills --skill gke-custom-golden-image-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cloud/gke-custom-golden-image-discovery .github/skills/gke-custom-golden-image-discovery && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gke-custom-golden-image-discovery" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discovery into .github/skills/gke-custom-golden-image-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-custom-golden-image-discovery", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google/skills --skill gke-custom-golden-image-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install google/skills gke-custom-golden-image-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cloud/gke-custom-golden-image-discovery .opencode/skills/gke-custom-golden-image-discovery && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gke-custom-golden-image-discovery" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-custom-golden-image-discovery into .opencode/skills/gke-custom-golden-image-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-custom-golden-image-discovery", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gke-custom-golden-image-discovery- GitHub stars
- 21k
- Token cost
- ~996 tokens
- SKILL.md length
- 314 words
- Files
- 1
- Skills in repo
- 150
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Discovers golden base images for creating GKE custom node images based on technical specifications or context clues.
- Works in 6 steps: Extract Info: Parse the user's request… → Determine Minor Version: Extract the… → Fetch Data: curl the mapping:… → …
- Finding the golden base image for custom GKE node creation
- SKILL.md covers Information Gathering &…, Discovery Workflow and Example Output
- Reaches gstatic.com
What it does
Gke Custom Golden Image Discovery is an agent skill from google/skills, published by the product's own GitHub organization. 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).
Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud. It works with Google Kubernetes Engine. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.
When your agent uses it
- Finding the golden base image for custom GKE node creation
- Mapping cluster configuration parameters (GKE version
- Cgroups) to image names
- Querying GKE base image maps
Example prompts
- “Use the gke-custom-golden-image-discovery skill to discover golden base images for creating GKE custom node images based on technical specifications…”
- “/gke-custom-golden-image-discovery”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 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…
- Determine Minor Version: Extract the major/minor version (e.g., 1.34).
- Fetch Data: curl the mapping: https://www.gstatic.com/gke-image-maps/base-images/node-config-to-base-images-.json
- Filter Logic
- 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…
- Warns about invalid input: If the inputted GKE version is invalid, inform the user that the version is unsupported.
What it can do on your machine
Read from SKILL.md and the folder at commit 4b940dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
gstatic.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Gke Custom Golden Image Discovery loads about 996 tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 314 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from google/skills at commit 4b940dd, republished under its Apache-2.0 licence (© google). 314 words, ~996 tokens.
Download SKILL.mdSave it as
.claude/skills/gke-custom-golden-image-discovery/SKILL.md (or your agent's skills folder).- name
- gke-custom-golden-image-discovery
- 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).
- metadata.version
- 1.0.0
- metadata.category
- Containers
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"
© google, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/cloud/gke-custom-golden-image-discovery of google/skills.
Open the folder on GitHubat commit 4b940dd
Compare with similar skills
Gke Custom Golden Image Discovery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gke Custom Golden Image Discovery this skillgoogle/skills | 21k | — | ~996 | Automated safety check: Pass | Apache-2.0 | |
| Mirrord Operatormetalbear-co/mirrord | 5.4k | 1 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Devopsnicepkg/auto-company | 195 | 2 repos | ~814 | Automated safety check: Pass | MIT | |
| KubeShark for KubernetesLukasNiessen/kubernetes-skill | 446 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Kcli Cluster Deploymentkarmab/kcli | 653 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Aicr Analyzing SnapshotsNVIDIA/aicr | 440 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 |
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Questions about Gke Custom Golden Image Discovery
What does Gke Custom Golden Image Discovery do?
Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Gke Custom Golden Image Discovery is an agent skill from google/skills, published by the product's own GitHub organization. Discovers golden base images for creating GKE custom node images based on technical specifications or context clues.
When should I use Gke Custom Golden Image Discovery?
Gke Custom Golden Image Discovery fits situations like: finding the golden base image for custom GKE node creation; mapping cluster configuration parameters (GKE version; cgroups) to image names; querying GKE base image maps.
How do I install Gke Custom Golden Image Discovery in Claude Code?
Run `npx skills add google/skills --skill gke-custom-golden-image-discovery -a claude-code`. Or copy the skill folder (skills/cloud/gke-custom-golden-image-discovery in google/skills) into .claude/skills/gke-custom-golden-image-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Gke Custom Golden Image Discovery in Codex?
Run `npx skills add google/skills --skill gke-custom-golden-image-discovery -a codex`. Or copy the skill folder (skills/cloud/gke-custom-golden-image-discovery in google/skills) into .agents/skills/gke-custom-golden-image-discovery in your project. Codex loads it when a task matches its description.
Can I use Gke Custom Golden Image Discovery in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google/skills --skill gke-custom-golden-image-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gke-custom-golden-image-discovery, .gemini/skills/gke-custom-golden-image-discovery, .github/skills/gke-custom-golden-image-discovery and .opencode/skills/gke-custom-golden-image-discovery in your project.
What does Gke Custom Golden Image Discovery need to run?
SKILL.md names no scripts, command-line tools or credentials: Gke Custom Golden Image Discovery is instructions for the agent only.
Does Gke Custom Golden Image Discovery access the network?
SKILL.md names 1 domain. In commands or code: gstatic.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Gke Custom Golden Image Discovery safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Gke Custom Golden Image Discovery use?
Gke Custom Golden Image Discovery is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gke Custom Golden Image Discovery use?
About 996 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Gke Custom Golden Image Discovery?
Skills that share tags, products or a category with Gke Custom Golden Image Discovery: Mirrord Operator (metalbear-co/mirrord, 5.4k stars), Devops (nicepkg/auto-company, 195 stars), KubeShark for Kubernetes (LukasNiessen/kubernetes-skill, 446 stars) and Kcli Cluster Deployment (karmab/kcli, 653 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gke Custom Golden Image Discovery?
google (a GitHub organization, an official publisher) maintains it in google/skills, which has 21,097 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 9, 2026.
Source: google/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.