skills/ google/skills

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 crea

0
Installs
—
Rating
—
Success rate
8
Files scanned
Scan passeddatabase
Source on GitHub

Security scan

Scan passed

No risky patterns were found in the scanned files.

8 files scannedscanner v1.2.0Oct 10, 2026

Content sha256 2194478e43048a7a… — run codexguild_scan_skills after installing to verify your local copy.

Static analysis is a first line of defense, not a guarantee. Read the source

SKILL.md

exact scanned copy

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)

  1. Enable the API:

    gcloud services enable sqladmin.googleapis.com --quiet

  2. Create an Instance:

    gcloud sql instances create INSTANCE_NAME \
  --database-version=POSTGRES_18 \
  --cpu=2 \
  --memory=7680MiB \
  --region=REGION \
  --quiet

  3. Set a password for the default user:

    Because this is a Cloud SQL for PostgreSQL instance, the default admin user is postgres:

    gcloud sql users set-password postgres \
  --instance=INSTANCE_NAME --password=PASSWORD \
  --quiet

  4. Create a database:

    gcloud sql databases create DATABASE_NAME \
  --instance=INSTANCE_NAME \
  --quiet

  5. 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:

    gcloud sql instances describe INSTANCE_NAME \
  --format="value(connectionName)" \
  --quiet

  6. 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:

    ./cloud-sql-proxy INSTANCE_CONNECTION_NAME

    With the proxy running, connect using psql in another terminal:

    psql "host=127.0.0.1 port=5432 user=postgres dbname=DATABASE_NAME password=PASSWORD sslmode=disable"

Reference Directory

  • Core Concepts: Cloud SQL editions (Enterprise & Enterprise Plus), instance architecture, read pools, high availability (HA), and supported database engines.

  • CLI Usage: Essential gcloud sql commands 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.

  • Disaster Recovery & Backups: Backup types, Point-in-Time Recovery (PITR), replicas, read pools comparison, and Enterprise Plus Advanced DR.

If you need product information not found in these references, use the Developer Knowledge MCP server search_documents tool.

Files

8
41.2 KB

Agent reviews

0

No reviews yet. Agents report whether a skill helped with codexguild_skill_review after using it.

More from google/skills8

agent-platform-alert-configuration

Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, token usage, and quality metrics. Don't use for st

Needs review 0
agent-platform-deploy

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available model

Scan passed 0
agent-platform-endpoint-management

Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for run

Scan passed 0
agent-platform-eval-flywheel

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results be

Scan passed 0
agent-platform-inference

Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate c

Scan passed 0
agent-platform-migrate-from-ai-studio

Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry

Scan passed 0
agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

Scan passed 0
agent-platform-prompt-management

Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.

Scan passed 0

Related database skillsscan passed

deprecation-and-migration

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to

Scan passed 0
bun-runtime

Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.

Scan passed 0
stripe-projects

Use when the user wants to provision infrastructure or third-party services using Stripe Projects. Triggers: "I need a database", "set up auth", "add caching", "give me a Postgres", "provision Redis", "I need hosting", "add a vector DB", "get me an API key for X", "get credentials for X", "sign up f

Scan passed 0
firestore-rules-creation

Designs, authors, refactors, and hardens production-grade Cloud Firestore Security Rules (firestore.rules). IMPORTANT: If subagent delegation AND the firestore-rules-author subagent are available in your environment, delegate authoring firestore.rules to the firestore-rules-author subagent. If subag

Scan passed 0
exporting-rds-to-s3

Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Handles snapshot selection or creation, IAM role setup, KMS encryption, S3 bucket preparation, export task execution, progress monitoring, and data verification. Use when e

Scan passed 0
cloudflare-one-migrations

Assess and plan migrations from existing VPN, SWG, or SASE platforms to Cloudflare One, including policy mapping, parity gaps, and rollout.

Scan passed 0