Agent skill
cloud-sql-basics
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.
Install this agent skill to your Project
npx add-skill https://github.com/google/skills/tree/main/skills/cloud/cloud-sql-basics
SKILL.md
Cloud SQL Basics
Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. It automates time-consuming tasks like patches, updates, backups, and replicas, while providing high performance and availability for your applications.
Prerequisites
Ensure you have the necessary IAM permissions to create and manage Cloud SQL
instances. The Cloud SQL Admin (roles/cloudsql.admin) role provides full
access to Cloud SQL resources.
Quick Start (PostgreSQL)
-
Enable the API:
bashgcloud services enable sqladmin.googleapis.com -
Create an Instance:
bashgcloud sql instances create INSTANCE_NAME \ --database-version=POSTGRES_18 \ --cpu=2 \ --memory=7680MiB \ --region=REGION -
Set a password for the default user:
Because this is a Cloud SQL for PostgreSQL instance, the default admin user is
postgres:bashgcloud sql users set-password postgres \ --instance=INSTANCE_NAME --password=PASSWORD -
Create a database:
bashgcloud sql databases create DATABASE_NAME \ --instance=INSTANCE_NAME -
Get the instance connection name:
You need the instance connection name (which is formatted as
PROJECT_ID:REGION:INSTANCE_NAME) to connect using the Cloud SQL Auth Proxy. Retrieve it with the following command:bashgcloud sql instances describe INSTANCE_NAME \ --format="value(connectionName)" -
Connect to the instance:
The Cloud SQL Auth Proxy must be running to be able to connect to the instance. In a separate terminal, start the proxy using the connection name:
bash./cloud-sql-proxy INSTANCE_CONNECTION_NAMEWith the proxy running, connect using
psqlin another terminal:bashpsql "host=127.0.0.1 port=5432 user=postgres dbname=DATABASE_NAME password=PASSWORD sslmode=disable"
Reference Directory
-
Core Concepts: Instance architecture, high availability (HA), and supported database engines.
-
CLI Usage: Essential
gcloud sqlcommands for instance, database, and user management. -
Client Libraries & Connectors: Connecting to Cloud SQL using Python, Java, Node.js, and Go.
-
MCP Usage: Using the Cloud SQL remote MCP server and Gemini CLI extension.
-
Infrastructure as Code: Terraform configuration for instances, databases, and users.
-
IAM & Security: Predefined roles, SSL/TLS certificates, and Auth Proxy configuration.
If you need product information not found in these references, use the
Developer Knowledge MCP server search_documents tool.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
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.
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-cloud-recipe-onboarding
Guidance for a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource.
alloydb-basics
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.
gemini-api
Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.
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.
Didn't find tool you were looking for?