Database

What it does

The database skill enables AI agents to interact with and manage databases, including querying data, performing CRUD operations, and handling schema definitions. It supports multiple database systems and provides tools for efficient data retrieval and manipulation.

When to use it

• When you need to retrieve specific records from a relational or NoSQL database.
• To automate data entry or updates in a structured format like CSV or JSON.
• For generating reports based on complex SQL queries or database views.
• When setting up or maintaining the schema of a new database system.

Key capabilities

• Querying and retrieving data using SQL or equivalent query languages.
• Performing create, read, update, and delete (CRUD) operations.
• Managing database schemas and relationships.
• Supporting multiple database systems such as PostgreSQL, MySQL, MongoDB, etc.

Example prompts

• "Retrieve all users from the 'users' table where age is greater than 25."
• "Insert a new record into the 'products' table with name 'Widget A' and price $19.99."
• "Generate a report showing total sales per region from the 'sales' database."

Tips & gotchas

• Ensure that your AI agent has proper access credentials and permissions to interact with the target database.
• Be cautious when executing write operations (e.g., UPDATE or DELETE) to avoid unintended data loss or corruption.