Data Quality

This handles data quality management through three main APIs: exploring and configuring quality rules, querying logical views and their fields, and creating detection work orders. It's built for progressive loading, meaning you pull in core concepts first, then detailed workflows as needed. The skill expects a query parameter with optional business context and documentation, which it uses to analyze knowledge networks, configure rules based on business semantics, and run quality checks. Worth noting the constraint system is thorough, things like requiring technical field names in SQL expressions, handling null scores as "unconfigured" in reports, and batch processing multiple views in a single work order. If you're managing data quality in a Chinese language enterprise system with strict audit trails, this gives you the structure to do it programmatically.

Install to Claude Code

npx -y skills add kweaver-ai/kweaver-dip --skill data-quality --agent claude-code