Run data-quality rule checks on AIDP tables — not-null, uniqueness, allowed ranges/sets, referential integrity, and freshness. Use when the user wants to validate data, check for nulls/duplicates/orphans, assert a column's domain, or gate a pipeline on quality. Expresses each rule as bounded Spark SQL and reports pass/fail with offending counts.
How to install aidp-data-quality?
ahmedawan-oracle/claude-code-plugins/aidp-data-quality
$npx -y skills add ahmedawan-oracle/claude-code-plugins --skill aidp-data-qualityInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ahmedawan-oracle/claude-code-plugins" --skill "ahmedawan-oracle/claude-code-plugins/aidp-data-quality"` 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/ahmedawan-oracle/claude-code-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/ahmedawan-oracle/claude-code-plugins"` and select the relevant skills, then follow their instructions.
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