What problem does it solve?
Manually creating realistic, persona-consistent Korean iBank worklogs that follow semantic search and recurrence patterns is time-consuming and often fails to match real user writing habits and task patterns.
Core Features & Use Cases
- Persona-Aligned Generation: Creates worklogs matching the unique writing style of 35 fixed iBank user personas for one or more teams.
- Pattern-Compliant Data: Follows semantic-search and recurrence patterns including cross-department collaboration, delayed completion, and seasonal task repeats to mimic real worklog behavior.
- Flexible Output Formats: Returns markdown previews or SQL-ready rows for the tb_worklog table, with optional rows for tb_worklog_dependency and tb_worklog_status_history when requested.
- Use Case: A banking operations team can use this skill to quickly generate months of realistic test worklog data for system testing or demo purposes.
Quick Start
Use the ibank-worklogs skill to generate a full month of worklogs for the customer support team using the pre-defined user personas.