菜单
Core GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI capabilities in BigQuery.
Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.
Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.
This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.
Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.
基于 SOC 职业分类
| name | gke-basics |
| description | Core GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly. |
| version | 1.0.0 |
| author | |
| license | Apache-2.0 |
| platforms | ["linux","macos","windows"] |
| source | https://github.com/google/skills/tree/main/skills/cloud/gke-basics |
| metadata | {"category":"Containers","hermes":{"icon":"lucide:container","tags":["Google Cloud","Gke","Basics"]}} |
Managed Kubernetes platform on Google Cloud. Defaults to Autopilot mode.
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
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, golden | gke-golden-path |
| : : path : : | ||
| Cluster Creation | create cluster, provision | gke-cluster-creation |
| : : GKE : : | ||
| Networking & Ingress | private cluster, VPC, | gke-networking |
| : : Gateway API, Ingress, DNS : : | ||
| Security & IAM | Workload Identity, Secret | gke-security |
| : : Manager, RBAC, hardening : : | ||
| Autoscaling | HPA, VPA, Cluster | gke-scaling |
| : : Autoscaler, NAP : : | ||
| Compute Classes | ComputeClass, Spot fallback, | gke-compute-classes |
| : : GPU/TPU nodes : : | ||
| Cost Optimization | Spot VMs, rightsizing, cost | gke-cost |
| : : allocation : : | ||
| AI/ML Workloads | LLM, GPU/TPU inference, | gke-inference |
| : : serving, vLLM : : | ||
| Cluster Upgrades | upgrade, maintenance window, | gke-upgrades |
| : : release channel : : | ||
| Observability | monitoring, logging, | gke-observability |
| : : Prometheus, dashboards : : | ||
| Multi-tenancy | namespace isolation, | gke-multitenancy |
| : : resource quota, LimitRange : : | ||
| Batch & HPC | batch, HPC, Kueue, JobSet, | gke-batch-hpc |
| : : parallel jobs : : | ||
| App Onboarding | containerize, Dockerfile, | gke-app-onboarding |
| : : deploy app, onboard : : | ||
| Backup & DR | backup plan, restore, | gke-backup-dr |
| : : disaster recovery, CMEK : : | ||
| Storage & PVC | SSD, PV, PVC, StorageClass, | gke-storage |
| : : GCS FUSE : : | ||
| Reliability | PDB, health probe, liveness, | gke-reliability |
| : : readiness : : |
For purely conceptual, educational, or informational questions (e.g. "What is GKE?", "Explain GKE architecture", or "Compare Standard vs Autopilot" in a generic sense):