AgentSkillsCN

data-quality-frameworks

运用 Great Expectations、dbt 测试与数据契约，构建数据质量验证体系。无论是构建数据质量管道、落实校验规则，还是确立数据契约，这一方法都堪称利器。

SKILL.md
--- frontmatter
version: 4.1.0-fractal
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.

🧠 Knowledge Modules (Fractal Skills)

1. implementation-playbook