SQL Generation
СреднийdataМинимальный контекст: 16K
Generates optimized SQL queries from natural language descriptions. Supports multiple dialects (PostgreSQL, MySQL, SQLite, SQL Server), handles complex joins, subqueries, window functions, and CTEs. Includes query explanation and performance optimization hints.
Варианты использования
- Converting business questions to SQL queries
- Optimizing slow queries with EXPLAIN analysis
- Generating migration scripts
- Building complex reporting queries
- Database schema design from requirements
Пример промпта
Generate a PostgreSQL query for the following requirement: "Find the top 10 customers by total order value in the last 30 days, including their order count and average order value. Exclude customers who have any cancelled orders." Schema context: - customers (id, name, email, created_at) - orders (id, customer_id, total, status, created_at) Requirements: - Use CTEs for readability - Include performance hints (indexes to consider) - Explain the query logic step by step
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Совместимые инструменты
claude-codecursorgithub-copilotkiroany
Модальности
Вход: text
→Выход: code, text
Похожие Skills
Автор
OpenModels Community