---
name: data-quality-frameworks-sickn33
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.
metadata:
  upstream:
    risk: unknown
    source: community
    date_added: '2026-02-27'
  category: data
  source:
    repository: 'https://github.com/sickn33/antigravity-awesome-skills'
    path: skills/data-quality-frameworks
    license_path: LICENSE
    commit: bdce4fc3ce8899e7c1133204e5825955a7f940da
---

# 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.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.