ibank-worklog-enrichment

Generate iBank enrichment seed data for worklog tags, evaluations, and user skills.

Updated Jun 5, 2026

Search Tags:#skills #evaluations #tagging #worklog #seed-data #data-enrichment #ibank

Ready to run

npx skills add https://github.com/KangJiSseok/ACODIAN --skill ibank-worklog-enrichment

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ibank-worklog-enrichment
Source: https://github.com/KangJiSseok/ACODIAN/tree/main/.codex/skills/ibank-worklog-enrichment
Command: npx skills add https://github.com/KangJiSseok/ACODIAN --skill ibank-worklog-enrichment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates the generation of iBank enrichment seed data to populate worklog tags, team-scoped evaluations, and current user skills.

Core Features & Use Cases

Tag generation and linking for tb_worklog_tag and tb_meta_tag
Team-scoped evaluations with evidence for selected evaluatees
Current user skill snapshots inferred from historical worklogs

Quick Start

Run the iBank worklog enrichment seed process to generate tags, evaluations, and current user skills from iBank data.

Frequently Asked Questions about ibank-worklog-enrichment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate seed data for iBank worklog tags and user evaluations?▼

To generate iBank worklog seed data, automate the creation of tags, team-scoped evaluations, and current user skills from existing worklogs, teams, and personas. The process populates tb_meta_tag, tb_worklog_tag, tb_user_evaluation, and tb_user_skill tables with validated, SQL-ready outputs.

What is the process for inferring user skills from historical worklogs?▼

Inferring user skills from historical worklogs involves analyzing past entries to create current user skill snapshots. The system populates the tb_user_skill table using stable skill names and levels 1-5, ensuring unique (user_id, skill_name) pairs for accurate skill tracking.

Do I need existing iBank teams and departments to populate worklog tags?▼

Yes, existing iBank worklogs, teams, departments, and personas are required. The seed data generation applies specifically when these foundational elements already exist and you need to populate tb_meta_tag, tb_worklog_tag, tb_user_evaluation, and tb_user_skill across the dataset.

How does worklog data enrichment handle referential integrity for tags and evaluations?▼

Worklog data enrichment validates referential integrity during seed data generation for tags, evaluations, and skills. This validation ensures that all generated links between worklogs, tags, and user evaluations maintain consistent, accurate relationships across the entire dataset.

What format does the iBank worklog enrichment output use for database population?▼

The iBank worklog enrichment process produces SQL-ready outputs designed for direct database population. These outputs target the tb_meta_tag, tb_worklog_tag, tb_user_evaluation, and tb_user_skill tables with validated data relationships and stable skill naming conventions.

Can I generate team-scoped evaluations with evidence using iBank worklog data?▼

Yes, you can generate team-scoped evaluations with evidence for selected evaluatees using iBank worklog data. The system populates the tb_user_evaluation table by analyzing existing worklogs, teams, and personas to create accurate, evidence-backed evaluation records.