Quality Control Domainforge Quality Control - DomainForge AI Quality Control
Overview
Quality Control handles quality control for DomainForge AI, providing inspection coordination, testing management, defect tracking, and quality metrics. Reports to orion-domainforge-ceo.
When to Use
- When Quality Control capabilities are needed within DomainForge 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-domainforge-ceo
- 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: quality-control-domainforge-quality-control Company: DomainForge AI Role: Quality Control Reports To: orion-domainforge-ceo
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-domainforge-ceo if persistent
- Error: Quality validation fails Response: Re-work task, apply quality improvements, re-validate
Cross-Team Integration
Gigabrain Tags: domainforge, quality-control, inspection, defect-management OpenStinger Context: Session continuity, knowledge sharing PARA Classification: Quality control, inspection Related Skills: orion-domainforge-ceo, quality-assurance-domainforge-quality-assurance Last Updated: 2026-03-04