Stored Procedures

The stored-procedures skill enables AI agents to execute pre-written database logic directly, bypassing the need for complex SQL queries. It allows agents to interact with relational databases using familiar procedural code blocks like PL/pgSQL or T-SQL.

When to use it

• Automating repetitive data maintenance tasks such as batch updates or cleanup routines.
• Enforcing complex business rules that are difficult to express in standard SQL statements.
• Performing multi-step transactions that require intermediate calculations before committing changes.
• Integrating legacy database logic into modern AI-driven workflows without rewriting core code.

Key capabilities

• Execution of stored procedures across various database systems.
• Direct interaction with database schemas and existing logic.
• Handling complex transactional flows within the database engine.
• Bypassing raw SQL generation for more structured operations.

Example prompts

• "Execute the update_user_status stored procedure for all users who haven't logged in this week."
• "Run the calculate_monthly_revenue stored procedure and return the results as a JSON object."
• "Trigger the archive_old_records procedure to move data older than 90 days to the history table."

Tips & gotchas

Ensure your AI agent has the necessary database permissions to execute specific procedures, as access rights are often stricter for stored logic than for standard queries. Verify that the target database system supports the specific procedural language syntax you intend to use.