ReddRadar
Agent skill
Incremental Model Strategy Selector
Selects and configures optimal incremental model strategies
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/data-engineering-analytics/skills/incremental-model-strategy-selector
SKILL.md
Incremental Model Strategy Selector
Overview
Selects and configures optimal incremental model strategies. This skill optimizes data transformation efficiency through proper incremental processing patterns.
Capabilities
- Incremental strategy selection (append, merge, delete+insert)
- Partition pruning optimization
- Unique key configuration
- On_schema_change handling
- Full refresh scheduling
- Lookback window optimization
- Late-arriving data handling
Input Schema
{
"modelCharacteristics": {
"sourceType": "string",
"updatePattern": "append|update|delete",
"volumeGB": "number",
"updateFrequency": "string"
},
"platform": "snowflake|bigquery|redshift",
"existingModel": "object"
}
Output Schema
{
"strategy": "append|merge|delete+insert",
"config": "object",
"partitionStrategy": "object",
"refreshSchedule": "object",
"dbtConfig": "object"
}
Target Processes
- Incremental Model Setup
- dbt Model Development
- Pipeline Migration
Usage Guidelines
- Analyze source data update patterns
- Measure data volume and update frequency
- Select strategy based on characteristics
- Configure appropriate lookback windows
Best Practices
- Use append for insert-only sources
- Use merge for sources with updates
- Configure partition pruning for large tables
- Schedule periodic full refreshes for data correction
- Handle late-arriving data with appropriate lookback
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