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GKE Production Readiness Review

Audits a Google Kubernetes Engine cluster or app and scores it for going live to production

Source Download skill
Repository
google/skills
Stars
21,782
Licence
Apache-2.0
Files
2 files

What it does

When asked to prepare or review a Google Kubernetes Engine (GKE) cluster or workload for production, the agent inspects the current setup using gcloud and kubectl commands, then works through a checklist covering scaling, observability, reliability, security, backup and disaster recovery, ingress, cost, and upgrades. It delegates each area to other specialized skills, then produces a red/amber/green report with an overall readiness score to prioritise fixes. It does not implement most changes itself.

Great for

  • Platform or DevOps engineers preparing a GKE cluster for a production launch
  • Teams wanting a structured readiness audit with prioritised remediation
  • Developers moving a containerised app from staging to production on GKE

Skip it if

  • Deep single-topic work such as only configuring autoscaling; the skdescription points to narrower skills for that, which are not included here
  • Non-GKE Kubernetes or other clouds, since the commands and checks are GKE-specific
  • Running against production clusters without review: the agent may run read commands against live infrastructure using your credentials

Try asking

  • “Assess my GKE cluster prod-east in project my-project before we go live”
  • “Review the workload checkout-api in namespace shop for production readiness”
  • “Audit our GKE setup for security and reliability gaps and give me a RAG score”
  • “Help me productionize this app that is not on Kubernetes yet”
Step-by-step guide: how to use GKE Production Readiness ReviewInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the Apache-2.0 licence and an attribution note.

    gke-productionize.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip gke-productionize.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip gke-productionize.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Give the agent the cluster name, location and project up front so discovery commands run correctly
  • Use read-only credentials for the assessment and review any remediation changes before applying them
  • Check that the companion skills are installed, since the workflow depends on them

What's inside

  • references/attribution.md
  • SKILL.md

Redistributed unmodified from google/skills under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.