{
  "id": "lib-process:data-engineering-analytics--dbt-project-setup",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "dbt-project-setup",
    "description": "dbt Project Setup - Initialize and configure a complete dbt (data build tool) project with proper folder structure,\nsources, staging/marts layers, testing, documentation, and CI/CD integration following dbt best practices.",
    "libraryPath": "library/specializations/data-engineering-analytics/dbt-project-setup.js",
    "specialization": "data-engineering-analytics",
    "references": [
      "- dbt Documentation: https://docs.getdbt.com/\n- dbt Best Practices: https://docs.getdbt.com/guides/best-practices\n- dbt Style Guide: https://github.com/dbt-labs/corp/blob/main/dbt_style_guide.md\n- dbt Project Structure: https://docs.getdbt.com/reference/project-configs/project-structure\n- dbt Cloud CI/CD: https://docs.getdbt.com/docs/deploy/continuous-integration"
    ],
    "example": "const result = await orchestrate('specializations/data-engineering-analytics/dbt-project-setup', {\n  projectName: 'analytics_dbt',\n  dataWarehouse: 'Snowflake',\n  sourceDatabases: ['production_db', 'crm_db', 'events_db'],\n  modelingApproach: 'kimball',\n  cicdPlatform: 'GitHub Actions',\n  deploymentEnvironments: ['dev', 'staging', 'prod'],\n  includePackages: ['dbt_utils', 'dbt_expectations'],\n  testingStrategy: 'comprehensive'\n});",
    "usesAgents": [
      "dbt-architect",
      "dbt-engineer",
      "data-catalog-engineer",
      "staging-engineer",
      "transformation-engineer",
      "dimensional-modeler",
      "macro-developer",
      "data-quality-engineer",
      "documentation-specialist",
      "package-manager",
      "environment-engineer",
      "cicd-engineer",
      "quality-architect",
      "performance-engineer",
      "project-validator",
      "technical-writer"
    ]
  },
  "outgoingEdges": [
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        "weight": 1
      }
    },
    {
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      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
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        "weight": 1
      }
    },
    {
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      "attributes": {
        "weight": 0.9
      }
    },
    {
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      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
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    },
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}