dbt Model Generator
中级data最低上下文：16K
Generates and refactors dbt models for analytics engineering. Writes staging, intermediate, and mart models following layered conventions, adds schema.yml tests and descriptions, applies incremental and materialization strategies, and structures sources and refs correctly. Produces SQL plus YAML that fits dbt best practices and is ready to run.
使用场景
- Scaffolding staging, intermediate, and mart models
- Adding schema.yml tests and column descriptions
- Converting ad-hoc SQL into layered dbt models
- Applying incremental materialization to large tables
示例提示词
Generate dbt models for an orders pipeline. Sources: raw.orders, raw.customers (Snowflake) Goal: a fct_orders mart with customer attributes and daily order metrics. Deliver: 1. stg_orders and stg_customers staging models with light cleaning 2. An int_ model joining them if needed 3. fct_orders mart (consider incremental materialization; explain the choice) 4. schema.yml with not_null/unique/relationships tests and descriptions Follow standard dbt layering and use ref()/source() correctly.
推荐模型
兼容工具
claude-codecursorkiroany
模态
输入: text, code
→输出: text, code
相关 Skills
作者
OpenModels Community