This repository provides a set of agent skills to interact with Cloud SQL for PostgreSQL instances. These skills can be used with various AI agents, including Antigravity, Claude Code and Codex, to manage your databases, execute queries, explore schemas, and troubleshoot issues using natural language prompts.

• Why Use Cloud SQL for PostgreSQL Agent Skills?
• Prerequisites
• Getting Started
  • Configuration
  • Installation & Usage
    • Antigravity
    • Claude Code
    • Codex
• Installing using open agent skills tool
• Installing via a compatible Agent Plugins client
• Usage Examples
• Supported Skills
• Additional Agent Skills
• Troubleshooting

• Seamless Workflow: Integrates seamlessly into your AI agent's environment. No need to constantly switch contexts for common database tasks.
• Natural Language Queries: Stop wrestling with complex commands. Explore schemas and query data by describing what you want in plain English.
• Full Lifecycle Control: Manage the entire lifecycle of your database, from creating instances to exploring schemas and running queries.
• Code Generation: Accelerate development by asking your agent to generate data classes and other code snippets based on your table schemas.

Before you begin, ensure you have the following:

• One of these AI agents installed
  • Antigravity
    • Antigravity CLI version v1.6.0 or higher
    • Antigravity 2.0 version v2.0.0 or higher.
  • Claude Code version v2.1.94 or higher.
  • Codex v0.117.0 or higher.
• A Google Cloud project with the Cloud SQL Admin API enabled.
• Ensure Application Default Credentials are available in your environment.
• IAM Permissions:
  • Cloud SQL Client (roles/cloudsql.client)
  • Cloud SQL Admin (roles/cloudsql.admin)

Please keep these env vars handy during the installation process:

• CLOUD_SQL_POSTGRES_PROJECT: The GCP project ID.
• CLOUD_SQL_POSTGRES_REGION: The region of your Cloud SQL instance.
• CLOUD_SQL_POSTGRES_INSTANCE: The ID of your Cloud SQL instance.
• CLOUD_SQL_POSTGRES_DATABASE: The name of the database to connect to.
• CLOUD_SQL_POSTGRES_USER: (Optional) The database username. Defaults to the active IAM user.
• CLOUD_SQL_POSTGRES_PASSWORD: (Optional) The password for the database user.
• CLOUD_SQL_POSTGRES_IP_TYPE: (Optional) Type of the IP address: PUBLIC, PRIVATE, or PSC. Defaults to PUBLIC.

To start interacting with your database, install the skills for your preferred AI agent, then launch the agent and use natural language to ask questions or perform tasks.

For the latest version, check the releases page.

You can use either of these two agents for Antigravity:

• Antigravity CLI version v1.6.0 or higher
• Antigravity 2.0 version v2.0.0 or higher.

💡 Tip — Migrating from Gemini CLI?
If you previously installed this extension with gemini extensions install, you can convert it to an Antigravity plugin instead of reinstalling from scratch:

• On first launch of Antigravity CLI, accept the Migration Options prompt to automatically convert your installed Gemini CLI extensions to Antigravity plugins.
• Or, from your terminal, run:

  agy plugin import gemini

See Migrating from Gemini CLI for details on plugins, context files (GEMINI.md / AGENTS.md), and MCP server config differences.

1. Clone the Repo:

git clone --branch 0.4.0 https://github.com/gemini-cli-extensions/cloud-sql-postgresql.git

2. Install the skills:

Choose a location for the skills:

• Global (all workspaces): ~/.gemini/antigravity/skills/
• Workspace-specific: <workspace-root>/.agents/skills/

Copy the skill folders from the cloned repository's skills/ directory to your chosen location:

cp -R cloud-sql-postgresql/skills/* ~/.gemini/antigravity/skills/

3. Set env vars: Set your environment vars as described in the configuration section.

(Tip: Antigravity 2.0 automatically discovers skills in these directories at the start of a session. You can verify they are active by running the /skills command in your active session.)

You can install plugins directly from a remote GitHub repository.

1. Install the plugin:

agy plugin install https://github.com/gemini-cli-extensions/cloud-sql-postgresql

2. Set env vars: Set your environment vars as described in the configuration section.

1. Set env vars: In your terminal, set your environment vars as described in the configuration section.

2. Start the agent:

claude

3. Install the plugin:

/plugin install cloud-sql-postgresql@claude-plugins-official

_(Tip: Run /plugin list inside Claude Code to verify the plugin is active, or /reload-plugins if you just installed it.)

1. Install marketplace:

codex plugin marketplace add GoogleCloudPlatform/data-agent-kit

2. Install the plugin:

codex plugin add cloud-sql-postgresql@data-agent-kit

3. Set env vars: Enter your environment vars as described in the configuration section.

4. (Optional) Update the marketplace:

codex plugin marketplace upgrade data-agent-kit

You can install skills using the npx skills command.

Run the following command in your terminal to automatically download and register the skills:

npx skills add https://github.com/gemini-cli-extensions/cloud-sql-postgresql/tree/0.4.0

For detailed info check out the Skills npm package.

2. Set env vars: Set your environment vars as described in the configuration section.

This repository is a valid Agent Plugins (v1) plugin. Any Agent Plugins–compatible client can install it directly using its own built-in plugin command — no extra tooling required — by pointing at this repository:

https://github.com/gemini-cli-extensions/cloud-sql-postgresql

Beyond harnesses covered by the native install above, compatible clients include VS Code, Cursor, GitHub Copilot, and Kiro. See your agent's documentation for its exact install command.

Set env vars: Set your environment vars as described in the configuration section.

Interact with Cloud SQL for PostgreSQL using natural language:

• Provision Infrastructure:
  • "Create a new Cloud SQL for Postgres instance named 'e-commerce-prod' in the 'my-gcp-project' project."
  • "Create a new user named 'analyst' with read access to all tables."
• Explore Schemas and Data:
  • "Show me all tables in the 'orders' database."
  • "What are the columns in the 'products' table?"
  • "How many orders were placed in the last 30 days, and what were the top 5 most purchased items?"
• Generate Code:
  • "Generate a Python dataclass to represent the 'customers' table."

The following skills are available in this repository:

• Cloud SQL for PostgreSQL Admin - Use these skills when you need to provision new Cloud SQL instances, create databases and users, clone existing environments, and monitor the progress of long-running operations.
• Cloud SQL for PostgreSQL Data - Use these skills when you need to explore the database structure, discover schema objects like views or stored procedures, and execute custom SQL queries to interact with your data.
• Cloud SQL for PostgreSQL Health - Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum.
• Cloud SQL for PostgreSQL Lifecycle - Use these skills when you need to manage the lifecycle of your instances, including performing backups and restores, checking major version upgrade compatibility, and monitoring overall instance status.
• Cloud SQL for PostgreSQL Monitor - Use these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.
• Cloud SQL for PostgreSQL Replication - Use these skills when you need to monitor replication health, manage sync states between nodes, and audit database roles and security settings to ensure environment integrity.
• Cloud SQL for PostgreSQL View Config - Use these skills when you need to discover and manage PostgreSQL extensions or fine-tune engine-level settings such as memory allocation and server configuration parameters.

Find additional skills to support your entire software development lifecycle at github.com/gemini-cli-extensions, including:

• Generic PostgreSQL skills
• Cloud SQL for PostgreSQL Observability skills
• and more!

Use the debug mode of your agent (e.g., gemini --debug) to enable debugging.

Common issues:

• "failed to find default credentials: google: could not find default credentials.": Ensure Application Default Credentials are available in your environment. See Set up Application Default Credentials for more information.
• "✖ Error during discovery for server: MCP error -32000: Connection closed": The database connection has not been established. Ensure your configuration is set via environment variables.
• "✖ MCP ERROR: Error: spawn .../toolbox ENOENT": The Toolbox binary did not download correctly. Ensure you are using the latest version of your agent.
• "cannot execute binary file": The Toolbox binary did not download correctly. Ensure the correct binary for your OS/Architecture has been downloaded. See Installing the server for more information.