Agent Skills
› rmyndharis/antigravity-skills
› data-quality-frameworks
data-quality-frameworks
GitHub用于在生产环境中实施数据质量验证，涵盖Great Expectations、dbt测试和数据契约。适用于构建数据质量管道、实现验证规则及建立团队间数据契约的场景。
触发场景
在数据管道中实施数据质量检查
设置Great Expectations验证
构建全面的dbt测试套件
建立团队间的数据契约
监控数据质量指标
在CI/CD中自动化数据验证
安装
npx skills add rmyndharis/antigravity-skills --skill data-quality-frameworks -g -y
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."
}
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.mdfor detailed frameworks, templates, and examples.
版本历史
- e63f7dd 当前 2026-07-05 09:30
