gke-productionize skillA
gke-productionize is agent-read markdown (skill) from gke-labs/kube-agents: 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-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliab.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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 `autopilot: true` in the describe
output.
- Check release channel: Look for `releaseChannel`.
#### Workload Discovery
…Read the whole file at its exact version.
How to install
mdr add gke-labs/kube-agents/gke-productionize@git:20260807.d47bdf1mdr add gke-labs/kube-agents/gke-productionize@sha256:d4a28a8e311975a3Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_veteyed7qdzdigpq)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260807.d47bdf1 latest | 2026-08-07 | d47bdf1 | 5,392 B | A | view · diff |
| git:20260728.aca5b5c | 2026-07-28 | aca5b5c | 5,340 B | A | view · diff |
| git:20260710.9319bce | 2026-07-10 | 9319bce | 4,735 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5392 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
gke-labs/kube-agents · 64 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_veteyed7qdzdigpq GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-productionize GET https://markdownregistry.com/api/v1/blob/d4a28a8e311975a378b20af632508b6756e959ff5f6f228f9a20f1905608dd70
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.