name: data.orchestrator
version: 0.1.0
description: Orchestrates data workflows including transformation, validation, and
  quality assurance
capabilities:
- Coordinate data transformation pipelines
- Manage data validation and quality checks
- Orchestrate data migration workflows
- Handle data governance and compliance
- Coordinate analytics and reporting
skills_available:
- data.transform
- workflow.validate
- workflow.compose
reasoning_mode: iterative
tags:
- data
- orchestration
- workflow
- etl
workflow_pattern: '1. Analyze incoming request and requirements

  2. Identify relevant data skills and workflows

  3. Compose multi-step execution plan

  4. Execute skills in coordinated sequence

  5. Validate intermediate results

  6. Handle errors and retry as needed

  7. Return comprehensive results'
example_task: "Input: \"Complete data workflow from start to finish\"\n\nAgent will:\n\
  1. Break down the task into stages\n2. Select appropriate skills for each stage\n\
  3. Execute create \u2192 validate \u2192 review \u2192 publish lifecycle\n4. Monitor\
  \ progress and handle failures\n5. Generate comprehensive reports"
error_handling:
  timeout_seconds: 300
  retry_strategy: exponential_backoff
  max_retries: 3
output:
  success:
  - Data workflow results
  - Execution logs and metrics
  - Validation reports
  - Generated artifacts
  failure:
  - Error details and stack traces
  - Partial results (if available)
  - Remediation suggestions
status: generated