kubernetes-operator
Skill2 starsChanged 29 days agoApache-2.0View on GitHub
Use this skill when authoring Kubernetes manifests, configuring Helm charts, setting up Horizontal Pod Autoscalers (HPA), or troubleshooting container cluster deployments.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- Hassaan146/claude-skillstheir own version, first seen Jul 25, 2026
- mahiunfiltered/claude-code-skillstheir own version, first seen Jul 8, 2026
- Hussain-Elfalah/Agentic-Skillstheir own version, first seen Jun 4, 2026
- csiddhant796-blip/claude-skills-collectiontheir own version, first seen May 10, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- Hassaan146/claude-skills★ 18same name
- csiddhant796-blip/claude-skills-collection★ 2same name
- Hussain-Elfalah/Agentic-Skills★ 2same name
- mahiunfiltered/claude-code-skills★ 1same name
- darkweb19/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Always configure resource limits, security contexts, and liveness/readiness probes:
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Kubernetes Cluster & Workload Operations
Overview
This skill guides the agent in writing declarative, production-ready Kubernetes manifests, configuring health probes, resource constraints, ingress controllers, and rolling update strategies.
Procedural Workflow
1. Hardened Deployment Manifest Pattern
Always configure resource limits, security contexts, and liveness/readiness probes:
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-service
labels:
app.kubernetes.io/name: api-service
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
selector:
matchLabels:
app: api-service
template:
metadata:
labels:
app: api-service
spec:
securityContext:
runAsNonRoot: true
runAsUser: 10001
containers:
- name: app
image: myregistry.azurecr.io/api-service:v1.0.0
securityContext:
readOnlyRootFilesystem: true
allowPrivilegeEscalation: false
resources:
requests:
cpu: "100m"
memory: "128Mi"
limits:
cpu: "500m"
memory: "512Mi"
ports:
- containerPort: 8080
readinessProbe:
httpGet:
path: /health/ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 10
livenessProbe:
httpGet:
path: /health/live
port: 8080
initialDelaySeconds: 15
periodSeconds: 202. Auto-scaling & Ingress
- HorizontalPodAutoscaler (HPA): Target CPU (e.g. 70%) and Memory utilization before traffic spikes.
- Ingress with TLS: Annotate with cert-manager (
cert-manager.io/cluster-issuer: letsencrypt-prod) for automated SSL lifecycle.
3. Triage & Debugging Commands
- Inspect crash loops:
kubectl logs -l app=api-service --tail=100 -p(previous container logs). - Inspect pod events:
kubectl describe pod <pod-name>.
Verification Checklist
- Non-root security context configured (
runAsNonRoot: true) - Both readiness and liveness probes defined
- Memory limits defined to prevent cluster OOM killer cascades
- Rolling update configured with zero downtime (
maxUnavailable: 0)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

