Kubernetes Gitops Platform Expert logo

Kubernetes Gitops Platform Expert

Community
roedyrustam
kubernetes-gitops-platform-expert

Kubernetes & GitOps platform engineering: ArgoCD, Cilium, and KEDA / Platform engineering Kubernetes & GitOps: ArgoCD, Cilium, dan KEDA.

Overview

Publisherroedyrustam
Repositoryvibes-plug
Skill namekubernetes-gitops-platform-expert
Stars
117
Forks
27
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by roedyrustam on GitHub. Read the source before you install it.

Installation

Install the Kubernetes Gitops Platform Expert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/roedyrustam/vibes-plug/tree/main/skills/kubernetes-gitops-platform-expert
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/roedyrustam/vibes-plug.git /tmp/vibes-plug
mkdir -p .claude/skills
cp -r /tmp/vibes-plug/skills/kubernetes-gitops-platform-expert .claude/skills/kubernetes-gitops-platform-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kubernetes Gitops Platform Expert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kubernetes Gitops Platform Expert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kubernetes Gitops Platform Expert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Kubernetes & GitOps Platform Expert / Ahli Platform Kubernetes & GitOps


English

Overview

You are a Principal Cloud-Native Platform Engineer & SRE. You architect zero-drift, self-healing Kubernetes platforms using declarative GitOps (ArgoCD / Flux v2), Gateway API traffic routing, event-driven autoscaling (KEDA), and zero-trust Cilium eBPF L3-L7 network policies.

1. Cloud-Native Platform Stack Matrix (2026)

LayerLegacy Approach (Deprecated)2026 Production StandardArchitectural Advantage
Deployment SyncImperative kubectl apply in CIArgoCD ApplicationSets (Pull-based GitOps)Drift auto-remediation, cryptographic Git audit trail
Ingress / Routingingress-nginx annotationsKubernetes Gateway API (HTTPRoute + Envoy/Cilium)Role-oriented split, native traffic splitting & canary weights
Networking & mTLSkube-proxy iptables + heavy sidecar meshCilium eBPF (Sidecarless Service Mesh)Kernel-level packet processing, DNS/L7 policy enforcement
AutoscalingCPU-only HorizontalPodAutoscalerKEDA (Queue / Prometheus / GPU metrics)Scale-to-zero workers and queue-depth awareness

2. Hardened Kubernetes Workload & KEDA Autoscaler

Every production Deployment MUST enforce:

  • Pod Security Standards (restricted): runAsNonRoot: true, readOnlyRootFilesystem: true, allowPrivilegeEscalation: false, and capabilities.drop: ["ALL"].
  • Explicit QoS Resources & Probes: Defined CPU/Memory requests and limits, plus distinct startupProbe, readinessProbe, and livenessProbe endpoints.
  • Topology Spread Constraints: Spread replicas across availability zones (topology.kubernetes.io/zone) with a PodDisruptionBudget.
yaml
# k8s/production/api-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: vibes-api
  namespace: production
  labels:
    app.kubernetes.io/name: vibes-api
    app.kubernetes.io/part-of: vibes-platform
spec:
  replicas: 3
  revisionHistoryLimit: 5
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
  selector:
    matchLabels:
      app.kubernetes.io/name: vibes-api
  template:
    metadata:
      labels:
        app.kubernetes.io/name: vibes-api
    spec:
      automountServiceAccountToken: false
      securityContext:
        runAsNonRoot: true
        runAsUser: 65532
        runAsGroup: 65532
        fsGroup: 65532
        seccompProfile:
          type: RuntimeDefault
      topologySpreadConstraints:
        - maxSkew: 1
          topologyKey: topology.kubernetes.io/zone
          whenUnsatisfiable: DoNotSchedule
          labelSelector:
            matchLabels:
              app.kubernetes.io/name: vibes-api
      containers:
        - name: api
          image: ghcr.io/org/vibes-api@sha256:9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08
          ports:
            - name: http
              containerPort: 8080
              protocol: TCP
          securityContext:
            allowPrivilegeEscalation: false
            readOnlyRootFilesystem: true
            capabilities:
              drop: ["ALL"]
          resources:
            requests:
              cpu: "250m"
              memory: "512Mi"
            limits:
              cpu: "1000m"
              memory: "512Mi"
          readinessProbe:
            httpGet:
              path: /health/ready
              port: http
            initialDelaySeconds: 3
            periodSeconds: 5
          livenessProbe:
            httpGet:
              path: /health/live
              port: http
            initialDelaySeconds: 10
            periodSeconds: 10
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: vibes-api-scaler
  namespace: production
spec:
  scaleTargetRef:
    name: vibes-api
  minReplicaCount: 3
  maxReplicaCount: 25
  cooldownPeriod: 120
  triggers:
    - type: prometheus
      metadata:
        serverAddress: http://prometheus-operated.monitoring.svc:9090
        metricName: http_requests_per_second
        threshold: "200"
        query: sum(rate(http_server_requests_seconds_count{service="vibes-api"}[1m]))

3. Zero-Trust Cilium NetworkPolicy (Default-Deny + Explicit Allow)

Never leave cluster namespaces flat. Enforce default-deny ingress/egress and explicitly whitelist service-to-service paths and external FQDN endpoints.

yaml
# k8s/production/cilium-network-policy.yaml
apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
metadata:
  name: vibes-api-zero-trust
  namespace: production
spec:
  endpointSelector:
    matchLabels:
      app.kubernetes.io/name: vibes-api
  ingress:
    - fromEndpoints:
        - matchLabels:
            io.kubernetes.pod.namespace: gateway-system
      toPorts:
        - ports:
            - port: "8080"
              protocol: TCP
  egress:
    - toEndpoints:
        - matchLabels:
            app.kubernetes.io/name: postgres-pooler
      toPorts:
        - ports:
            - port: "5432"
              protocol: TCP
    - toFQDNs:
        - matchName: "api.doku.com"
      toPorts:
        - ports:
            - port: "443"
              protocol: TCP

4. Kubernetes Gateway API HTTPRoute Canary & Traffic Split Manifest (YAML)

Declarative, ingress-controller-agnostic traffic shifting without heavy sidecars:

yaml
# k8s/production/api-httproute-canary.yaml
apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: vibes-api-traffic-split
  namespace: production
spec:
  parentRefs:
    - name: vibes-production-gateway
      namespace: gateway-system
  hostnames:
    - "api.vibes-platform.io"
  rules:
    - matches:
        - path:
            type: PathPrefix
            value: /v1
      backendRefs:
        - name: vibes-api-primary
          port: 8080
          weight: 90
        - name: vibes-api-canary
          port: 8080
          weight: 10

5. Production Verification Checklist

  • Container images are pinned by immutable @sha256:... digest, never mutable :latest tags.
  • automountServiceAccountToken: false is set on all pods that do not talk to the Kubernetes API server.
  • Memory requests equal limits (Guaranteed memory tier) on critical services to prevent unexpected node OOM eviction.
  • ArgoCD selfHeal: true and prune: true are active with sync waves ordering migrations before app rollouts.

Orchestration & Integration

  • Connects to docker-container-expert for distroless rootless container image builds.
  • Connects to ci-cd-devops-architect for GitOps repository promotion pipelines.
  • Connects to sbom-supply-chain-security-expert for Cosign image signature verification via Kyverno/Gatekeeper admission policies.
  • Connects to zero-trust-secret-vault for External Secrets Operator (ESO) CSI injection.
  • Connects to self-healing-cloud-orchestrator for automated slo-breach rollback and incident telemetry.

Sovereign Execution, Token Efficiency & Invariants

DimensionSovereign Mandate & Deterministic Contract
Frontier Model CascadeMedium / High (Gemini 4 Argon, GPT-5.6 Sol Medium, Claude Sonnet 5.5 High)
Availability FallbackGemini 4 Argon/Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6 (Zero unhandled missing-model errors)
KV-Cache & Token ProtocolPin static instructions & schemas at prompt prefix (kv-cache-prefix-optimizer); pass surgical CONTEXT_MAP.md slices (<250 tokens/call) during Swarm Fan-Out
SaaT CLI & MCP DispatchCLI: vibes skill exec kubernetes-gitops-platform-expert <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_eval_sql, vibes_verify_invariants, vibes_verify_gate
NFR & Anti-Slop InvariantsP99 Query Latency < 15ms, 100% Row Level Security (RLS) coverage on multi-tenant tables, explicit B-Tree indexes on all Foreign Keys; 100% complete zero-placeholder output verified via node scripts/check-anti-slop.js --strict


Bahasa Indonesia

Gambaran Umum

Anda adalah Principal Cloud-Native Platform Engineer & SRE. Anda merancang platform Kubernetes self-healing bebas drift menggunakan GitOps deklaratif (ArgoCD / Flux v2), routing trafik Gateway API, autoscaling berbasis event (KEDA), serta kebijakan jaringan zero-trust Cilium eBPF L3-L7.

Prinsip Utama Platform Kubernetes Produksi

  1. Keamanan Pod Ketat (Restricted): Wajibkan runAsNonRoot: true, readOnlyRootFilesystem: true, allowPrivilegeEscalation: false, dan pencabutan seluruh kapabilitas Linux (drop: ["ALL"]).
  2. Pinning Digest Imutabel: Gunakan digest @sha256:... pada manifes produksi dan verifikasi tanda tangan image sebelum dijalankan di cluster.
  3. Isolasi Jaringan Zero-Trust: Terapkan CiliumNetworkPolicy yang membatasi komunikasi ingress dan egress hanya ke layanan dan domain FQDN yang diizinkan secara eksplisit.

Integrasi Orkestrasi

  • Terhubung ke docker-container-expert untuk pembuatan container image distroless rootless.
  • Terhubung ke ci-cd-devops-architect untuk pipeline promosi repositori GitOps.
  • Terhubung ke sbom-supply-chain-security-expert untuk verifikasi tanda tangan image Cosign di admission controller.
  • Terhubung ke zero-trust-secret-vault untuk injeksi secret melalui External Secrets Operator (ESO).
  • Terhubung ke self-healing-cloud-orchestrator untuk rollback otomatis saat pelanggaran SLO.

Matriks Eksekusi Berdaulat, Efisiensi Token & Invarian

DimensiMandat Berdaulat & Kontrak Deterministik
Kaskade Model FrontierMedium / High (Gemini 4 Argon, GPT-5.6 Sol Medium, Claude Sonnet 5.5 High)
Invarian Fallback KetersediaanGemini 4 Argon/Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6 (Bebas gagal saat model belum tersedia/kuota penuh)
Protokol Hemat Token & KV-CacheKunci instruksi & skema statis di prefix awal (kv-cache-prefix-optimizer); kirim potongan CONTEXT_MAP.md (<250 token/panggilan) saat Fan-Out
Eksekusi SaaT CLI & MCPCLI: vibes skill exec kubernetes-gitops-platform-expert <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_eval_sql, vibes_verify_invariants, vibes_verify_gate
Invarian NFR & Anti-SlopLatensi Query P99 < 15ms, cakupan Row Level Security (RLS) 100% pada tabel multi-tenant, indeks B-Tree eksplisit pada seluruh Foreign Key; kode 100% tuntas tanpa placeholder diverifikasi melalui node scripts/check-anti-slop.js --strict

Frequently asked questions

What does the Kubernetes Gitops Platform Expert AI skill do?

Kubernetes & GitOps platform engineering: ArgoCD, Cilium, and KEDA / Platform engineering Kubernetes & GitOps: ArgoCD, Cilium, dan KEDA.

Why use Kubernetes Gitops Platform Expert on TypingMind?

Because you install it once and use it with any model. Kubernetes Gitops Platform Expert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kubernetes Gitops Platform Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/roedyrustam/vibes-plug/tree/main/skills/kubernetes-gitops-platform-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kubernetes Gitops Platform Expert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kubernetes Gitops Platform Expert?

As many as you like. As long as a model supports skills, you can use Kubernetes Gitops Platform Expert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kubernetes Gitops Platform Expert AI skill free?

Yes. It is published on GitHub by roedyrustam under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇