Gke Golden Path

OrganizationPopular

google

gke-golden-path

Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns. Use when designing GKE clusters, verifying GKE production readiness, or checking configurations against GKE defaults. Don't use for setting up workload autoscaling specifically (use gke-workload-scaling instead).

Overview

Publisher	google
Repository	`skills`
Skill name	`gke-golden-path`
Stars	20.5K
Forks	1.7K
Bundled files	1
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by google on GitHub. Read the source before you install it.

Installation

Install the Gke Golden Path AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/google/skills/tree/main/skills/cloud/gke-golden-path
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/google/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/cloud/gke-golden-path .claude/skills/gke-golden-path

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gke Golden Path in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gke Golden Path on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gke Golden Path is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GKE Golden Path Configuration

The golden path is the recommended Autopilot configuration for production clusters. It defines sensible defaults — when the user requests different settings, apply them and note relevant trade-offs.

MCP Tools: get_cluster, create_cluster, update_cluster

Rules

Default to the golden path. Use golden path values unless the user requests otherwise. When deviating, note trade-offs but respect the user's choice.
Day-0 vs Day-1. Flag Day-0 decisions (networking, private nodes, subnets, IP allocation) prominently — they are hard/impossible to change after creation.
Tool preference: MCP > gcloud > kubectl. MCP is preferred as it directly interfaces with GKE APIs with structured data, reducing shell syntax errors and parsing ambiguities. See the gke-basics skill's CLI reference for full coverage matrix and override options. If the user says "use gcloud" or "use kubectl", respect that for the session.
Document decisions and rationale, especially for Day-0 choices and golden path deviations.

Required Inputs

If the user is unsure, use golden path defaults.

Project ID (required)
Region (required, e.g., us-central1)
Cluster name (required)
Environment type: dev/test or production (defaults to production)
Networking: bring-your-own VPC/subnet or auto-create (default: auto-create)
Scale expectations: expected node/pod count, workload types
Cost constraints: Spot VM tolerance, budget considerations

Always-Apply Defaults

Recommended best practices applied by default. If the user requests a different setting, apply it and briefly note the security or operational trade-off.

Setting	Golden Path Value
`autopilot.enabled`	`true`
`privateClusterConfig.enablePrivateNodes`	`true`
`masterAuthorizedNetworksConfig.privateEndpointEnforcementEnabled`	`true`
`secretManagerConfig.enabled` + `rotationInterval: 120s`	`true`
`rbacBindingConfig.enableInsecureBinding*`	`false` (both)
`workloadIdentityConfig.workloadPool`	enabled
`networkConfig.datapathProvider`	`ADVANCED_DATAPATH`
`networkConfig.dnsConfig.clusterDns`	`CLOUD_DNS`
`autoscaling.autoscalingProfile`	`OPTIMIZE_UTILIZATION`
`verticalPodAutoscaling.enabled`	`true`
`monitoringConfig` components	SYSTEM_COMPONENTS, STORAGE, POD, DEPLOYMENT, STATEFULSET, DAEMONSET, HPA, JOBSET, CADVISOR, KUBELET, DCGM, APISERVER, SCHEDULER, CONTROLLER_MANAGER
`loggingConfig` components	SYSTEM_COMPONENTS, WORKLOADS (enabled by default)
`advancedDatapathObservabilityConfig.enableMetrics`	`true`
`nodeConfig.shieldedInstanceConfig.enableSecureBoot`	`true`
`nodeConfig.workloadMetadataConfig.mode`	`GKE_METADATA`
`nodeConfig.gcfsConfig.enabled` / `gvnic.enabled`	`true` / `true`
`addonsConfig.statefulHaConfig.enabled`	`true`
Storage CSI drivers (Filestore, GCS FUSE, Parallelstore)	enabled
Pod Security Standards	`restricted` on production namespaces

Customer-Configurable Settings

These have golden path defaults but customers may deviate with valid justification. Ask before changing.

Setting	Default	Why Deviate
`dnsEndpointConfig.allowExternalTraffic`	`true`	Restrict if cluster only accessed from within VPC
`autoIpamConfig` / `createSubnetwork`	`true` / `true`	Customer has pre-existing VPC/subnets
`maxPodsPerNode`	`48`	`110` for high pod-density (costs more CIDR space)
`subnetwork`	auto-created	Customer brings existing subnets
Maintenance exclusion windows	configured (NO_MINOR_UPGRADES, 1yr)	Customer-specific scheduling
`nodeConfig.bootDisk.diskType`	`pd-balanced`	`pd-ssd` for I/O-intensive, `pd-standard` for cost
`nodeConfig.machineType`	`ek-standard-8` (Autopilot)	Varies by workload; use ComputeClasses

Guardrails

Do not request or output secrets (tokens, keys, service account JSON).
Discover project/cluster context via MCP tools or gcloud config get-value project — don't ask users to paste project IDs.
For Day-0 decisions, always ask clarifying questions before proceeding.
For Day-1 features, propose golden path defaults with trade-offs and let the customer confirm.
Do not promise zero downtime; advise PDBs, health probes, replicas, and staged upgrades.
When auditing existing clusters, compare against golden path and report deviations with severity and remediation.

Golden Path Config

See golden-path-autopilot.yaml for the full cluster-level policy settings.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

assets/golden-path-autopilot.yaml4 KB

Frequently asked questions

What does the Gke Golden Path AI skill do?

Why use Gke Golden Path on TypingMind?

Because you install it once and use it with any model. Gke Golden Path is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gke Golden Path in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google/skills/tree/main/skills/cloud/gke-golden-path. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gke Golden Path?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gke Golden Path?

As many as you like. As long as a model supports skills, you can use Gke Golden Path with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gke Golden Path AI skill free?

Yes. It is published on GitHub by google under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GKE Golden Path Configuration

Rules

Required Inputs

Always-Apply Defaults

Customer-Configurable Settings

Guardrails

Golden Path Config

Bundled files

Frequently asked questions

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