プロダクション対応のGoogle Kubernetes Engine（GKE）クラスタを、ゴールデンパスAutopilot構成を使って計画、作成、設定します。Day-0チェックリスト、Autopilot vs Standard、ネットワーキング（プライベートクラスタ、VPCネイティブ、Gateway API）、セキュリティ（Workload Identity、Secret Manager、RBACの強化）、可観測性、スケーリング、コスト最適化、AI/ML推論をカバーします。
このスキル「google/gke-basics」は、Google Kubernetes Engine（GKE）のベストプラクティスに従ったプロダクション対応クラスタの計画、作成、設定を支援します。特にGoogleが推奨するAutopilot構成（ゴールデンパス）に焦点を当て、Day-0チェックリスト、AutopilotとStandardモードの比較、プライベートクラスタやVPCネイティブ、Gateway APIを用いたネットワーキング、Workload IdentityやSecret Manager、RBACによるセキュリティ強化、可観測性、スケーリング、コスト最適化、AI/ML推論ワークロードまで幅広くカバーします。このスキルは、GKEクラスタの新規作成、環境プロビジョニング、ネットワーク設計、セキュリティ設定、コスト最適化、オートスケーリング設定、アップグレード計画、可観測性の構築、マルチテナンシー、バッチ処理、HPC、Compute Classの利用など、さまざまなユースケースに対応します。開発者やプラットフォームエンジニアは、このスキルを使用することで、GKEの複雑な構成を効率的かつ信頼性高く実装できます。
npx skills add https://github.com/google/skills/tree/main/skills/gke-basicsプロダクション対応のGoogle Kubernetes Engine（GKE）クラスタを、ゴールデンパスAutopilot構成を使って計画、作成、設定します。Day-0チェックリスト、Autopilot vs Standard、ネットワーキング（プライベートクラスタ、VPCネイティブ、Gateway API）、セキュリティ（Workload Identity、Secret Manager、RBACの強化）、可観測性、スケーリング、コスト最適化、AI/ML推論をカバーします。
使用場面: GKEクラスタの作成、GKE環境のプロビジョニング、GKEネットワークの設計、GKEのセキュリティ設定、GKEコストの最適化、GKEオートスケーリング、GKE推論、GKEアップグレード、GKE可観測性、GKEマルチテナンシー、GKEバッチ、GKE HPC、GKE Compute Class。
This repo contains 18 individual skills — each has its own dedicated page.
Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.
Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources, or leverage BigQuery's built-in ML capabilities. Also use when performing data analysis, ingesting data into BigQuery, or developing AI applications on BigQuery.
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
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.
Use this skill whenever you are working on a project that uses Firebase products or services, especially for mobile or web apps.
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.
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics. Don't use for generic VM management or non-observability tasks.
Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.
Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.
Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.
Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.
Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.
Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.
Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.
Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.
Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".