Supabase

The Supabase skill enables AI agents to interact directly with your database infrastructure, allowing them to execute SQL queries, manage table schemas, and handle authentication flows without manual intervention. It bridges the gap between natural language requests and backend data operations by providing a programmatic interface to your existing Supabase project.

When to use it

• Retrieving specific records or aggregating data based on user-defined criteria.
• Automating data entry tasks by inserting new rows into tables via text prompts.
• Modifying existing database structures, such as adding columns or creating indexes.
• Managing row-level security policies and user authentication states dynamically.

Key capabilities

• Execute raw SQL queries against connected Supabase projects.
• Define and alter table schemas programmatically.
• Handle authentication logic for secure data access.
• Retrieve real-time database state changes.

Example prompts

• "Create a new table called users with fields for id, email, and created_at."
• "Select all active orders from the past 30 days where the total exceeds $500."
• "Update the status of user ID 123 to 'inactive' in the accounts table."

Tips & gotchas

Ensure your Supabase project credentials are securely configured within the agent's environment before attempting database operations. Be mindful of row-level security policies, as they may restrict an AI agent's ability to read or write data even if the SQL syntax is correct.