SQL Generation
中级data最低上下文: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.
使用场景
- Converting business questions to SQL queries
- Optimizing slow queries with EXPLAIN analysis
- Generating migration scripts
- Building complex reporting queries
- Database schema design from requirements
示例提示词
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
推荐模型
兼容工具
claude-codecursorgithub-copilotkiroany
模态
输入: text
→输出: code, text
相关 Skills
作者
OpenModels Community