Construct-AI-primary dataforge devforge data transformation - DevForge AI Data Transformation
Overview
Dataforge handles data transformation for DevForge AI, providing ETL pipeline development, data processing, data integration, and data quality management. Reports to orion-devforge-orchestrator.
When to Use
- When Data Transformation capabilities are needed within DevForge AI
- When related tasks require specialized expertise
- When cross-team coordination is required
- Don't use when: Tasks outside this skill's scope (use appropriate specialized agent)
Core Procedures
Standard Workflow
- Receive Request - Ingest requirements from orion-devforge-orchestrator
- Analyze Requirements - Determine scope and approach
- Execute Task - Perform specialized work
- Quality Check - Validate output quality
- Deliver Results - Return completed work
Agent Assignment
Primary Agent: dataforge-devforge-data-transformation Company: DevForge AI Role: Data Transformation Reports To: orion-devforge-orchestrator
Success Metrics
- Task completion rate: >=95%
- Quality score: >=90%
- Response time: <4 hours
- Stakeholder satisfaction: >=90%
Error Handling
- Error: Task execution failure Response: Retry with adjusted approach, escalate to orion-devforge-orchestrator if persistent
- Error: Quality validation fails Response: Re-work task, apply quality improvements, re-validate
Cross-Team Integration
Gigabrain Tags: devforge, data-transformation, etl, data-pipelines OpenStinger Context: Session continuity, knowledge sharing PARA Classification: Data transformation, ETL pipelines Related Skills: orion-devforge-orchestrator, navigator-devforge-data-discovery, stream-devforge-data-streaming Last Updated: 2026-03-04