name: sql-queries description: Expert SQL query generation for DBX Studio. Use when writing, optimizing, or debugging SQL queries against user database connections.

SQL Query Expert — DBX Studio

This project supports multiple database backends via user connections. Always write dialect-appropriate SQL.

Supported Dialects

Query Patterns

Safe SELECT with limit

Always add LIMIT unless the user explicitly wants all rows:

SELECT * FROM "schema"."table" LIMIT 100;

CTEs for complex queries

WITH ranked AS (
  SELECT *, ROW_NUMBER() OVER (PARTITION BY category ORDER BY created_at DESC) AS rn
  FROM orders
)
SELECT * FROM ranked WHERE rn = 1;

Aggregations

SELECT
  DATE_TRUNC('month', created_at) AS month,
  COUNT(*) AS total,
  SUM(amount) AS revenue
FROM orders
GROUP BY 1
ORDER BY 1 DESC;

Window Functions

SELECT
  user_id,
  amount,
  SUM(amount) OVER (PARTITION BY user_id ORDER BY created_at) AS running_total
FROM transactions;

Tool Usage in DBX Studio AI

The AI has access to these tools — always use them rather than guessing:

Query Safety Rules

• Only SELECT and WITH (CTEs) are permitted via execute_query
• Always quote identifiers: "schema"."table"."column"
• Add LIMIT automatically unless the user asks for all data
• Validate table/column names exist via read_schema or describe_table first

Response Format

1. Execute tool to get data
2. Answer the user's question directly with the result
3. Show SQL in ```sql blocks only if the user asks "how" or "show me the query"
4. Present numbers clearly: "There are 1,247 orders this month"