What problem does it solve?
Manually creating and versioning iBank tb_worklog seed SQL is time-consuming and error-prone, especially when updating narrative wording, adding dependency links, or refreshing AI summaries across multiple worklog versions.
Core Features & Use Cases
- Versioned Seed SQL Generation: Creates version-tagged tb_worklog seed SQL from team markdown files and persona configurations, supporting custom version tags like v3, v4, or v7.
- Automated Dependency Linking: Generates matching predecessor dependency SQL for the same worklog version to maintain relational data integrity.
- AI Summary Refresh: Updates tb_worklog.ai_summary fields without altering existing worklog row data such as request content, work content, status, or IDs.
Use Case: If your team needs to release a new v7 batch of iBank worklog entries with updated wording to reduce repetition and linked predecessor records, this skill automates the entire SQL generation and validation workflow.
Quick Start
Ask the AI to generate a new v7 version of iBank worklog seed SQL with updated wording and matching dependency links from your existing team markdown and persona files.