ReddRadar
Agent skill
SCD Implementation Generator
Generates Slowly Changing Dimension implementations across platforms
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/data-engineering-analytics/skills/scd-implementation-generator
SKILL.md
SCD Implementation Generator
Overview
Generates Slowly Changing Dimension implementations across platforms. This skill automates the creation of SCD patterns for proper historical tracking.
Capabilities
- SCD Type 1/2/3/4/6 implementation
- MERGE statement generation
- dbt snapshot configuration
- Historical tracking optimization
- Surrogate key management
- Effective date handling
- Current flag management
- Mini-dimension design
Input Schema
{
"dimension": {
"name": "string",
"columns": ["object"],
"businessKey": ["string"]
},
"scdType": "1|2|3|4|6",
"platform": "snowflake|bigquery|redshift|dbt",
"trackingColumns": ["string"]
}
Output Schema
{
"ddl": "string",
"mergeStatement": "string",
"dbtConfig": "object",
"documentation": "string"
}
Target Processes
- SCD Implementation
- Dimensional Model Design
- dbt Model Development
Usage Guidelines
- Define dimension structure with business keys
- Select appropriate SCD type for business requirements
- Specify target platform for syntax generation
- Identify columns to track for historical changes
Best Practices
- Use SCD Type 2 for attributes requiring full history
- Implement surrogate keys for dimension tables
- Use effective dates rather than just current flags
- Consider mini-dimensions for rapidly changing attributes
- Test SCD logic with representative change scenarios
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