gke-workload-scaling SKILL.md skillA
gke-workload-scaling from gke-labs/kube-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gke-labs/kube-agents/gke-workload-scaling@git:20261014.72456d6Pins git:20261014.72456d6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gke-labs/kube-agents
- Path
agents/cluster/skills/gke-workload-scaling/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261014.72456d6, committed Oct 14, 2026
- First version recorded
- Jul 28, 2026
- Size
- 4,236 bytes
- Repository stars
- 124
- License
- Apache-2.0
Specific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configuration.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# GKE Workload Scaling This skill provides workflows and best practices for scaling applications on Google Kubernetes Engine (GKE). It covers manual scaling, Horizontal Pod Autoscaling (HPA), and Vertical Pod Autoscaling (VPA). > You are read-only: each change below is a proposal you report with your findings, never a command you run. ## Workflows ### 1. Manual Scaling Set a deployment to a fixed number of replicas. Useful for immediate manual intervention or testing. Propose the new `spec.replicas` value as a patch to the Deployment. ### 2. Horizontal Pod Autoscaling (HPA) Automatically scale the number of pods based on observed CPU utilization, memory utilization, or custom metrics. **Prerequisites:** - Metrics Server must be running (enabled by default on GKE). - Containers clearly define resource requests/limits. **Manifest:** Propose an `autoscaling/v2` `HorizontalPodAutoscaler` whose `scaleTargetRef` names the Deployment, with `minReplicas`, `maxReplicas` and a `Resource` metric target (for example, CPU at 50% average utilization). A complete example is in [assets/hpa-example.yaml](assets/hpa-example.yaml). **Custom Metrics & External Metrics:** …
Read the whole file at its exact version.
How to install
mdr add gke-labs/kube-agents/gke-workload-scaling@sha256:93a3f54aea10abe9The line at the top of this page pins the label git:20261014.72456d6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_k4adrwi2vtkqwvzo)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 28, 2026 and Oct 14, 2026, about one every 78 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261014.72456d6 latest | 2026-10-14 | 72456d6 | 4,236 B | A | view · diff |
| git:20260728.aca5b5c | 2026-07-28 | aca5b5c | 3,975 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 (4236 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 · 124 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k4adrwi2vtkqwvzo GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-workload-scaling GET https://markdownregistry.com/api/v1/blob/93a3f54aea10abe919884fe3445a7f02b65cc0660ca52846d2d5cc447e87821d
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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