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gke-golden-path

Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns.

Skill by googleOfficial

IndexedApache-2.0★ 21,542
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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).

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/gke-golden-path

What's inside

Skill name
gke-golden-path
Description
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).
License
Apache-2.0
Metadata
version: 1.1.1 · category: Containers
Instructions
151 lines in SKILL.md · view on GitHub

Files (3)

  • SKILL.md
  • golden-path-autopilot.yaml · assets/
  • attribution.md · references/

SKILL.md (first lines)

# 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. For setting up autoscaling
specifically, use `gke-cluster-autoscaler` for node autoscaling or
`gke-workload-scaling` for workload autoscaling (HPA/VPA).

> **MCP Tools:** `get_cluster`, `create_cluster`, `update_cluster`

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). 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-golden-path)"`
and append `agent-skills/1.0 (skill:gke-golden-path)` to `User-Agent` headers.

## Rules

1.  **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.
2.  **Day-0 vs Day-1.** Flag Day-0 decisions (networking, private nodes,
    subnets, IP allocation) prominently — they are hard/impossible to change
    after creation.
3.  **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.
4.  **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` (this golden path's choice)    | Halves per-node IP consumption (/25 instead of /24). Not a GKE default (Standard defaults to `110`, Autopilot to `32`); raise for high pod-density at the cost of more CIDR space
`subnetwork`                             | auto-created                        | Customer brings existing subnets
Release channel + maintenance windows    | `REGULAR` channel with a recurring maintenance window | Add targeted maintenance exclusions (keep under ~6 months) only for critical freezes — see the `gke-upgrades` skill
`nodeConfig.bootDisk.diskType`           | `pd-balanced`                       | `pd-ssd` for I/O-intensive, `pd-standard` for cost

> **Note**: Autopilot selects node machine types automatically (e.g.,
> `ek-standard-8` may appear in describe output); the machine type is not
> customer-configurable in Autopilot. Steer workload placement via
> ComputeClasses instead.

## Guardrails

-   Do not request or output secrets (tokens, keys, service account JSON).
-   Resolve project/cluster context from the conversation, MCP tools, or
    `gcloud config get-value project`; ask the user only if it cannot be
    resolved.
-   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 — see Upgrade Disruption below for what to
    advise instead.
-   When auditing existing clusters, compare against golden path and report
    deviations with severity and remediation.

## Upgrade Disruption

**Never promise zero downtime for node upgrades, on any configuration.** Node
upgrades cordon and drain nodes, which evicts Pods. Draining honors
PodDisruptionBudgets and `terminationGracePeriodSeconds` for **up to one hour**,
after which GKE forcefully evicts the remaining Pods so the upgrade can proceed.
A PDB narrows the window; it cannot veto the upgrade. Say so plainly rather than
implying the disruption can be eliminated.

What to recommend, all four — not a subset:

From google/skills, Apache-2.0.

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Last commit (this folder)
Oct 19, 2026 (20 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.1.1
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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gke-golden-path skill. Agent Mart. https://agentmart.dev/skills/google-gke-golden-path (last updated 2026-10-24)