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:20261010.fbd1f7dPins git:20261010.fbd1f7d 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
third_party/google-skills/gke-workload-scaling/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261010.fbd1f7d, committed Oct 10, 2026
- Size
- 4,994 bytes
- Repository stars
- 124
- License
- Apache-2.0
Manages scaling for GKE workloads using HPA and VPA. Use when configuring Horizontal Pod Autoscaler (HPA), configuring Vertical Pod Autoscaler (VPA), or applying best practices for GKE workload autoscaling. Do not use for cluster-level autoscaling (Cluster Autoscaler), static cluster sizing, or configuring node-level machine styles directly.
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).
## Workflows
### 1. Manual Scaling
Scale a deployment to a fixed number of replicas. Useful for immediate manual
intervention or testing.
**Command:**
```bash
kubectl scale deployment {deployment_name} --replicas={number} -n {namespace}
# Verify the scale event
kubectl get deployment {deployment_name} -n {namespace}
```
### 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.
**Quick Command:**
```bash
kubectl autoscale deployment {deployment_name} --cpu-percent=50 --min=1 --max=10
```
**Manifest Approach (Recommended):** Use a YAML manifest for version-controlled
configuration. See [assets/hpa-example.yaml](assets/hpa-example.yaml) for a
template.
```bash
kubectl apply -f assets/hpa-example.yaml
…Read the whole file at its exact version.
How to install
mdr add gke-labs/kube-agents/gke-workload-scaling@sha256:cca5bf26a2d77628The line at the top of this page pins the label git:20261010.fbd1f7d, 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_g4dypmljzx4yv3xr)
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Versions
The registry has recorded 1 version of this file, committed on Oct 10, 2026.
Audit of the latest version
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- 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
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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_g4dypmljzx4yv3xr GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-workload-scaling GET https://markdownregistry.com/api/v1/blob/cca5bf26a2d776283ae871f52bafe60e84d3bdf200c6aa9260a1ae4fe27cbcdf
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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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