القائمة
Core GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Provides BigQuery-specific logic, knowledge, and specialized standards. Use this skill whenever you are doing anything with BigQuery, including: 1. BigQuery query optimization (SQL) 2. BigFrames Python code 3. BigQuery ML/AI functions (SQL & Python) 4. Graph Analytics (GQL & Property Graphs)
Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or awareness of Agent Gateway. Covers deployment workflows, service accounts, rollback, and production infrastructure. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Agent Platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Do NOT use for API code patterns (use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).
| name | gke-basics |
| metadata | {"category":"Containers"} |
| description | Core GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly. |
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):