{
  "name": "data-pipeline",
  "description": "Data engineering with extract, transform, and load agents",
  "keywords": [
    "data",
    "pipeline",
    "etl",
    "elt",
    "ingestion",
    "warehouse",
    "lake",
    "batch",
    "stream",
    "sql"
  ],
  "agents": [
    {
      "name": "extractor",
      "role": "Source connectors, ingestion logic, schema mapping, incremental extraction, change data capture",
      "focus": "src/extract/, src/connectors/, src/sources/, config/"
    },
    {
      "name": "transformer",
      "role": "Business logic, data cleaning, aggregation, validation rules, data quality checks",
      "focus": "src/transform/, src/models/, src/validators/, sql/, dbt/"
    },
    {
      "name": "loader",
      "role": "Sink connectors, idempotent writes, partitioning, monitoring, schema evolution handling",
      "focus": "src/load/, src/sinks/, src/destinations/, *.test.*"
    }
  ],
  "layout": "tiled",
  "layout_style": "main-horizontal",
  "main_pane_percent": 65
}