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gke-basics

@google · 收录于 3 周前 · 上游提交 今天★ 社区精选

Core GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly.

适合你,如果你管理 GKE 集群并需要快速访问子技能

/ 通过 npx 安装 校验哈希
npx oh-my-skill add google/skills/gke-basics
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- google/skills/gke-basics
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify google/skills/gke-basics
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · Apache-2.0 · 97ee4f9

GKE Basics

Managed Kubernetes platform on Google Cloud. Defaults to Autopilot mode.

Quick Start
gcloud services enable container.googleapis.com --quiet
gcloud container clusters create-auto my-cluster --region=us-central1 --quiet
gcloud container clusters get-credentials my-cluster --region=us-central1 --quiet
GKE Skill Routing Table

Load the single, most specific GKE sub-skill below matching your workload requirements. Do not load multiple GKE skills unless explicitly required.

| Scenario | Trigger Keywords | Target Skill | | -------------------- | ----------------------- | --------------------------- | | Golden Path Defaults | production defaults, | gke-golden-path | : : golden path : : | Cluster Creation | create cluster, | gke-cluster-creation | : : provision GKE : : | Networking & Ingress | private cluster, VPC, | gke-networking, | : : Gateway API, Ingress, : gke-service-networking : : : DNS : : | Security & IAM | Workload Identity, | gke-platform-security, | : : Secret Manager, RBAC, : gke-workload-security : : : hardening : : | Autoscaling | HPA, VPA, Cluster | gke-workload-scaling | : : Autoscaler, NAP : : | Compute Classes | ComputeClass, Spot | gke-compute-classes | : : fallback, GPU/TPU nodes : : | Cost Analysis | BigQuery billing | gke-cost-analysis | : : exports, budgets, live : : : : monitoring : : | Cost Optimization | Spot VMs, rightsizing, | gke-cost-optimization | : : quotas : : | AI/ML Workloads | LLM, GPU/TPU inference, | gke-inference | : : serving, vLLM : : | GPU/TPU Disruption | GPU termination, TPU | gke-ai-troubleshooting- | : : shutdown, host : handle-disruption-gpu-tpu : : : maintenance : : | Cluster Upgrades | upgrade, maintenance | gke-upgrades | : : window, release channel : : | Observability | monitoring, logging, | gke-observability | : : Prometheus, dashboards : : | Multi-tenancy | namespace isolation, | gke-multitenancy | : : resource quota, : : : : LimitRange : : | Batch & HPC | batch, HPC, Kueue, | gke-batch-hpc | : : JobSet, parallel jobs : : | App Onboarding | containerize, | gke-app-onboarding | : : Dockerfile, deploy app, : : : : onboard : : | Backup & DR | backup plan, restore, | gke-backup-dr | : : disaster recovery, CMEK : : | Storage & PVC | SSD, PV, PVC, | gke-storage | : : StorageClass, GCS FUSE : : | Reliability | PDB, health probe, | gke-reliability | : : liveness, readiness : : | Productionization | production readiness, | gke-productionize | : : productionize, : : : : readiness scoring, : : : : audit cluster : : | Manifest Generation | generate YAML, manifest | gke-manifest-generation | : : template, : : : : securityContext probes, : : : : resource limits : :

Conceptual & Informational Queries (CRITICAL)

For purely conceptual, educational, or informational questions (e.g. "What is GKE?", "Explain GKE architecture", or "Compare Standard vs Autopilot" in a generic sense):

  • Rule: Answer immediately using your pre-trained knowledge.
  • Constraint: **Do not execute code searches, directory listings, or other tool calls** unless the user explicitly requests you to inspect the local workspace or run a command. Keep it fast, cheap, and direct.
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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