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Marketing Foundation

Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.

Marketing Launch

Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.

Agent Audit Essentials

Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.

Conversion and Activation Review

Review the journey from landing page and lead capture through registration, first value and transparent upgrades.

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Plan a campaign, draft its channel content and review the work against actual brand guidance.

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Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.

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Lead Magnet to Lifecycle Nurture

Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.

API Contract and Observability

Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.

Data Analysis Foundation

Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.

B2B Outreach Foundation

Define the target account, prioritize buying signals, plan a human LinkedIn engagement routine and prepare evidence-led responses to buyer concerns.

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What the MCP returns at this step

29 · Engineering · Cloud Operations

Google GKE Productionize

Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare

engineeringcloud-operationsgoogle-cloudgke-productionize

Google GKE Productionize · Original SKILL.md

---
name: gke-productionize
metadata:
version: "1.0.0"
category: Containers
description: Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-workload-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability instead).
---

# GKE Productionize Skill

This skill acts as a high-level orchestrator for preparing a GKE cluster and its
workloads for production readiness.

> [!IMPORTANT]
> This is a **meta-skill** or **orchestrator skill**. You are
> expected to invoke and run many other specialized skills listed in this
> document as part of the overall productionization process. Do not attempt to
> implement all production readiness features directly within this skill;
> instead, use this skill to assess the environment and then delegate to the
> specific skills for each domain.

## Scope

This skill is adaptable to:

- A single application (already on Kubernetes or not).
- A set of applications.
- A target cluster.

## Workflow

### 1. Discovery Phase

Before making recommendations, discover the current state of the environment.

#### Cluster Discovery

Run these commands to understand the cluster setup:

- Check cluster details: `gcloud container clusters describe {cluster_name}
--location {location} --project {project}`
- Check for Autopilot vs Standard: Look for the following block in the
describe output:

```yaml
autopilot:
enabled: true
```
- Check release channel: Look for `releaseChannel`.

#### Workload Discovery

If a specific application is targeted, discover its configuration:

- Get deployment/statefulset details: `kubectl get deployment {app_name} -n
{namespace} -o yaml`
- Check for dedicated namespace and labels: `kubectl get namespace {namespace}
-o yaml` (Look for Pod Security Standards labels).
- Check for dedicated service account usage: `kubectl get pods -n {namespace}
-o
custom-columns="NAME:.metadata.name,SERVICE_ACCOUNT:.spec.serviceAccountName"`
- Check for resource requests and limits.
- Check for liveness, readiness, and startup probes.
- Check for HPA: `kubectl get hpa -n {namespace}`
- Check for PDB: `kubectl get pdb -n {namespace}`
- Check for NetworkPolicies: `kubectl get networkpolicy -n {namespace}`

### 2. Production Readiness Assessment

**Before implementation, you MUST run the skills for each relevant specialized
area listed below and incorporate its guidance into your assessment and plan.
Failure to do so will result in a non-compliant production configuration.**

#### A. App Onboarding (Pre-Kubernetes)

If the application is not yet running on GKE, you MUST run the
`gke-app-onboarding` skill for planning containerization, image building, and
basic deployment.

#### B. Scalability & Resource Management

Ensure workloads have appropriate resources and autoscaling.

- **Action**: You MUST run the `gke-workload-scaling` skill for configuring
HPA, VPA, and resource limits.

#### C. Observability

Ensure adequate logging and monitoring are in place.

- **Action**: You MUST run the `gke-observability` skill for setting up Cloud
Logging, Monitoring, and Managed Prometheus.

#### D. Reliability

Ensure high availability and graceful degradation.

- **Action**: You MUST run the `gke-reliability` skill for configuring
regional clusters, PDBs, and health probes.

#### E. Security

Harden the cluster and workloads.

- **Action**: You MUST run the `gke-platform-security` and
`gke-workload-security` skills for Workload Identity, Network Policies, and
Shielded Nodes.
- **Namespace Isolation**: Ensure workloads run in dedicated namespaces with
Pod Security Standards (PSS) enforced via labels.
- **Least Privilege**: Ensure workloads use dedicated ServiceAccounts instead
of the `default` ServiceAccount.

#### F. Backup & Disaster Recovery

Ensure stateful data is protected.

- **Action**: You MUST run the `gke-backup-dr` skill for configuring Backup
for GKE and restore procedures.

#### G. Edge Security & Ingress

Secure external access.

- **Action**: You MUST run the `gke-service-networking` skill for Gateway API,
Ingress, and Cloud Armor.

#### H. Cost Optimization

Ensure efficient use of resources.

- **Action**: You MUST run the `gke-cost-optimization` skill for strategies on
rightsizing, quotas, and Spot VMs.

#### I. Upgrades & Maintenance Posture

Ensure a safe, predictable upgrade posture.

- **Action**: You MUST run the `gke-upgrades` skill for release channel
selection, maintenance windows/exclusions, and node pool upgrade strategy.

#### J. Golden Path Defaults Audit

Ensure the cluster configuration matches recommended defaults.

- **Action**: You MUST run the `gke-golden-path` skill to compare the cluster
against golden path defaults and report deviations with severity and
remediation.

### 3. Production Readiness Scoring

After the assessment, provide a summary report with a RAG (Red, Amber, Green)
status for each area and an overall readiness score. This helps prioritize
remediation efforts.

Apply this rubric deterministically so repeated assessments of the same
environment produce the same result:

1. **Per-domain criteria**: For each assessed domain (A-J), list the concrete
checks performed (from the domain skill's guidance) and classify each check
as **pass**, **fail-critical** (production-blocking, e.g., no resource
requests, no backups for stateful data, public control plane in a locked
down environment), or **fail-minor** (improvement, e.g., missing VPA
recommendations, no Spot usage for batch).
2. **RAG mapping (per domain)**:
- **Red** = one or more fail-critical checks.
- **Amber** = no fail-critical, but one or more fail-minor checks.
- **Green** = all checks pass.
3. **Domain score**: Green = 100, Amber = 50, Red = 0.
4. **Weighted overall score**: weight Security, Reliability, and Backup/DR at
2x; all other assessed domains at 1x. Overall score = sum(domain score x
weight) / sum(weights), rounded to the nearest integer. Exclude domains
that are not applicable (e.g., Backup/DR for fully stateless workloads) from
both sums and note the exclusion.
5. **Readiness verdict**: >= 90 with no Red domains = "Production ready";
70-89 with no Red domains = "Ready with follow-ups"; anything else =
"Not production ready".

In the report, show the per-domain check lists, RAG status, weights, and the
computed overall score.

## Adaptability Guidelines

- **Single App**: Focus on Health Probes, HPA, Resource Limits, PDB, and
Workload Identity for that specific app.
- **Cluster Wide**: Focus on Cluster Autoscaler, Multi-zonal setup, Release
Channels, Maintenance Windows, and default Network Policies.
- **Proactive Execution**: Proactively execute relevant skills (e.g.,
observability, security, scaling, reliability) to assess and propose
improvements, seeking user confirmation before applying state-changing
implementations.

When to use

What you get

Complete original Google guidance with source attribution and declared execution limits.

How it works

Use supplied evidence to plan, review or explain the relevant workflow within authorized scope.

Requirements

Authorized project context, resource scope, current configuration evidence and a named decision owner.

Delivery and review notes

The original is official Apache-2.0 guidance. It may show cloud commands, deployment examples or credential placeholders; those are not run, configured, installed, or authorized by loading this catalog entry. Verify current provider documentation and resource-owner approval before external changes.

Starting prompt

Use Google GKE Productionize for [TASK]. Start from authorized project context and supplied evidence. Identify unknowns and propose changes for review; do not run commands, connect accounts, deploy, transfer data, or incur charges from this text alone.

Not for

Automatic cloud execution, credential handling, account access, deployments, destructive changes, or claims that examples are configured and verified.

What M11 added

M11 added German routing, integrity tracking and a strict no-execution boundary. Original attribution: Google (google/skills repository). The original is official Apache-2.0 guidance. It may show cloud commands, deployment examples or credential placeholders; those are not run, configured, installed, or authorized by loading this catalog entry. Verify current provider documentation and resource-owner approval before external changes.

Original authorship remains with google/skills · Original source ↗

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Source SHA-256: ea7db23ae3ce5ddcaa8bef909529631faf1caf5af0bdd0af1c246e48a65f46f0
Snapshot checked: 2026-10-05T00:00:00.000Z

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