Use when you need to diagnose data quality problems in tables, SQL pipelines, bridge tables, path fields, enum fields, null-heavy dimensions, or frontend-vs-warehouse discrepancies. This skill traces issues to source pollution, SQL mapping mistakes, missing bridge keys, wrong grain selection, rule coverage gaps, or display-layer formatting.
How to install data-quality-detection?
kaori-seasons/data-skill-hub/data-quality-detection
$npx -y skills add kaori-seasons/data-skill-hub --skill data-quality-detectionInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/kaori-seasons/data-skill-hub" --skill "kaori-seasons/data-skill-hub/data-quality-detection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/kaori-seasons/data-skill-hub" that are relevant to the current task. Run `npx skills add "https://github.com/kaori-seasons/data-skill-hub"` and select the relevant skills, then follow their instructions.
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