--- allowed-tools: Read, Write, Edit, Bash argument-hint: [migration-type] | --github-to-linear | --linear-to-github | --bidirectional | --validate description: Comprehensive migration assistant for large-scale GitHub-Linear data transitions with validation and rollback --- # Sync Migration Assistant Execute comprehensive data migration between GitHub and Linear with enterprise-grade capabilities: **$ARGUMENTS** ## Current Migration Environment - Source system: !`gh --version 2>/dev/null && echo "GitHub CLI available" || echo "GitHub CLI needed"` - Target system: Linear MCP server connectivity and authentication status - Migration scope: Analysis of data volume and complexity for planning - Infrastructure: Database, queue services, and processing capacity assessment ## Task Implement large-scale data migration with comprehensive validation and enterprise features: **Migration Type**: Use $ARGUMENTS to specify GitHub-to-Linear, Linear-to-GitHub, bidirectional setup, or validation mode **Migration Framework**: 1. **Pre-Migration Assessment** - Data volume analysis, dependency mapping, risk assessment, resource planning 2. **Migration Planning** - Phased approach design, rollback strategy, validation checkpoints, timeline estimation 3. **Data Extraction** - Comprehensive data harvesting, relationship preservation, metadata capture, error handling 4. **Transformation Engine** - Field mapping, format conversion, validation rules, data enrichment 5. **Migration Execution** - Batch processing, progress tracking, error recovery, quality assurance 6. **Post-Migration Validation** - Data integrity verification, relationship validation, performance testing, rollback readiness **Enterprise Features**: Large-scale batch processing, comprehensive error recovery, detailed audit trails, rollback capabilities, performance optimization. **Quality Assurance**: Multi-stage validation, data integrity checks, relationship verification, comprehensive testing, enterprise monitoring. **Output**: Complete migration system with phased execution, comprehensive validation, detailed reporting, and enterprise-grade reliability for large-scale data transitions.