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google/cloud-sql-grundlagen

Diese Datei erstellt oder erklärt Cloud SQL-Ressourcen. Verwenden Sie diese Datei, wenn der Benutzer eine Cloud SQL-Instanz oder -Datenbank für MySQL, PostgreSQL oder SQL Server erstellen möchte.

Was ist cloud-sql-grundlagen?

Diese Skill-Datei für KI-Agenten (kompatibel mit Claude Code, Cursor, Codex und ähnlichen Plattformen) bietet umfassende Unterstützung bei der Arbeit mit Google Cloud SQL. Sie generiert und erklärt Cloud SQL-Ressourcen, einschließlich Instanzen und Datenbanken für MySQL, PostgreSQL und SQL Server. Der Skill erleichtert die Erstellung und Verwaltung dieser vollständig verwalteten relationalen Datenbankdienste in Google Cloud. Er automatisiert die Bereitstellung von Cloud SQL-Instanzen, übernimmt Konfigurationsschritte wie Backup-Einstellungen, Hochverfügbarkeit und sichere Verbindungen. Entwickler können damit schnell und effizient produktionsreife Datenbankumgebungen aufsetzen, ohne manuelle Konfiguration durchführen zu müssen. Die Skill-Datei ist besonders nützlich für DevOps-Workflows und Infrastructure-as-Code-Ansätze in Kombination mit KI-Assistenten.

Funktioniert mit~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/google/skills/tree/main/skills/cloud-sql-basics

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Dokumentation

Was macht cloud-sql-grundlagen?

Diese Datei erstellt oder erklärt Cloud SQL-Ressourcen. Verwenden Sie diese Datei, wenn der Benutzer eine Cloud SQL-Instanz oder -Datenbank für MySQL, PostgreSQL oder SQL Server erstellen möchte. Cloud SQL verwaltet Drittanbieter-MySQL-, PostgreSQL- und SQL Server-Instanzen als Ressourcen in Cloud SQL. Wenn Cloud SQL beispielsweise eine quelloffene MySQL-Instanz erstellt, ist die resultierende Ressource eine Cloud SQL for MySQL-Instanz, die von Google Cloud verwaltet wird. Cloud SQL übernimmt Backups, Hochverfügbarkeit und sichere Konnektivität für relationale Datenbank-Workloads.

Individual skills in this repo

This repo contains 18 individual skills — each has its own dedicated page.

google/agent-platform-skill-registry

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.

google/alloydb-basics

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.

google/bigquery-basics

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.

google/cloud-run-basics

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).

google/firebase-basics

Use this skill whenever you are working on a project that uses Firebase products or services, especially for mobile or web apps.

google/gemini-api

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.

google/gemini-interactions-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.

google/gke-basics

Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.

google/google-cloud-networking-observability

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.

google/google-cloud-recipe-auth

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.

google/google-cloud-recipe-networking-observability

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.

google/google-cloud-recipe-onboarding

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.

google/google-cloud-waf-cost-optimization

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.

google/google-cloud-waf-operational-excellence

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.

google/google-cloud-waf-performance-optimization

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.

google/google-cloud-waf-reliability

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.

google/google-cloud-waf-security

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.

google/google-cloud-waf-sustainability

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.