ibank-sql-pack

To generate SQL INSERT seed data for iBank test environments, use this skill to produce ordered, .sql-ready statements for dummy users, teams, staffing, and worklogs. It automatically enforces business rules for team ownership and primary team assignment.

The correct table dependency order for iBank SQL inserts places core entities like users and teams before staffing and worklogs. This skill automatically outputs INSERT statements in the required dependency sequence, optionally including worklog dependency and status history tables.

Yes, you can generate dummy SQL data for large multi-team batch testing. This skill supports both single-team and large multi-team batch generation workflows, making it suitable for small local test setups and large-scale test environment provisioning.

To preserve existing approved draft data when generating new SQL inserts, this skill maintains stable record IDs and integrates your approved draft content. It ensures new generated dummy data aligns with existing records without overwriting valid database entities.

Yes, iBank seed data generation enforces primary team assignment and department alignment. This skill automatically validates business rules, ensuring correct team department alignment with non-director admin users and valid primary team assignment per user.

Manual SQL seed data generation for iBank dummy databases is time-consuming and error-prone, often failing to align with strict business rules like team department ownership and primary team assignment. Automated generation ensures consistent, valid ordering and rule compliance.