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Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When building data quality pipelines, implementing validation rules with Great Expectations/dbt, or establishing data contracts between teams.
Reliable data pipelines with automated validation, clear quality reports, and enforceable data contracts.
Use Cases
A data engineer builds a daily ETL pipeline and needs to ensure upstream orders data is complete and unique. Using this skill, they set up Great Expectations suites via CLI, define column null/uniqueness expectations, and run checkpoints in CI. Failed checks block the pipeline, preventing bad data from reaching analytics.
Two teams exchanging data need a formal agreement on schema and quality. Using this skill, they establish data contracts with versioned expectations and dbt tests, monitor freshness and consistency, and automate validation in deployment. This reduces integration incidents and improves trust.
Skill Relationships
Dependency relationships read as "the upper tier points to the lower tier." The current Skill sits in the middle tier — above are Skills that depend on it, below are Skills it depends on.
Tier 1 · These Skills Use Me
Tier 2 · Current Skill
Tier 3 · I Use These Skills
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Skill File
