Supabase

The Supabase skill enables AI agents to interact directly with a Postgres database, allowing them to create tables, insert data, and query records without manual setup. It acts as a bridge between natural language requests and raw SQL execution within the Supabase ecosystem.

When to use it

• Automating repetitive data entry tasks like logging user sign-ups or updating inventory levels.
• Retrieving specific datasets for analysis, such as fetching recent sales reports or customer lists.
• Prototyping database-driven applications by letting an agent define schema and seed initial data instantly.

Key capabilities

• Database Creation: Automatically provisions a new Postgres database instance.
• Schema Management: Creates tables with defined columns and constraints based on user descriptions.
• Data Manipulation: Executes INSERT, UPDATE, and DELETE operations to manage records dynamically.
• Query Execution: Runs SELECT statements to retrieve and display data in readable formats.

Example prompts

• "Create a users table with fields for id, name, email, and created_at timestamp."
• "Insert three new product records into the inventory table with prices of $10, $25, and $50."
• "Show me all users who signed up in the last 24 hours."

Tips & gotchas

Ensure your Supabase project is publicly accessible or properly configured for API access before invoking this skill. While the agent can create complex schemas, always review generated SQL statements if handling sensitive data to prevent accidental overwrites or security issues.