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skills/data-quality-frameworks/SKILL.md

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+---
+name: data-quality-frameworks
+description: Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
+---
+
+# Data Quality Frameworks
+
+Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.
+
+## Use this skill when
+
+- Implementing data quality checks in pipelines
+- Setting up Great Expectations validation
+- Building comprehensive dbt test suites
+- Establishing data contracts between teams
+- Monitoring data quality metrics
+- Automating data validation in CI/CD
+
+## Do not use this skill when
+
+- The data sources are undefined or unavailable
+- You cannot modify validation rules or schemas
+- The task is unrelated to data quality or contracts
+
+## Instructions
+
+- Identify critical datasets and quality dimensions.
+- Define expectations/tests and contract rules.
+- Automate validation in CI/CD and schedule checks.
+- Set alerting, ownership, and remediation steps.
+- If detailed patterns are required, open `resources/implementation-playbook.md`.
+
+## Safety
+
+- Avoid blocking critical pipelines without a fallback plan.
+- Handle sensitive data securely in validation outputs.
+
+## Resources
+
+- `resources/implementation-playbook.md` for detailed frameworks, templates, and examples.