AgentSkillsCN

data-quality-frameworks

借助 Great Expectations、dbt 测试与数据契约，实现数据质量校验。适用于构建数据质量流水线、落实校验规则或制定数据契约时使用。

SKILL.md
--- frontmatter
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."
risk: unknown
source: rootcastle-rei

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.

🏰 Rei Skills — Curated by Rootcastle Engineering & Innovation | Batuhan Ayrıbaş
Engineering Beyond Boundaries | admin@rootcastle.com