Cloud Sql Basics

OrganizationPopular

google

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.

Overview

Publisher	google
Repository	`skills`
Skill name	`cloud-sql-basics`
Stars	20.1K
Forks	1.6K
Bundled files	7
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by google on GitHub. Read the source before you install it.

Installation

Install the Cloud Sql Basics AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/google/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/cloud/cloud-sql-basics .claude/skills/cloud-sql-basics

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloud Sql Basics in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloud Sql Basics on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloud Sql Basics is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

bash
gcloud services enable sqladmin.googleapis.com --quiet

Create an Instance:

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

Set a password for the default user:

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

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

Create a database:

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

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:

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

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_NAME

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

bash
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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cloud Sql Basics AI skill do?

Why use Cloud Sql Basics on TypingMind?

Because you install it once and use it with any model. Cloud Sql Basics is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloud Sql Basics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google/skills/tree/main/skills/cloud/cloud-sql-basics. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cloud Sql Basics?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloud Sql Basics?

As many as you like. As long as a model supports skills, you can use Cloud Sql Basics with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloud Sql Basics AI skill free?

Yes. It is published on GitHub by google under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Cloud SQL Basics

Prerequisites

Quick Start (PostgreSQL)

Reference Directory

Bundled files

Frequently asked questions

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