Great Expectations Data Quality AI Skill Guide

Overview & Engine Architecture

Great Expectations (GX) validates batches of data against Expectation Suites. Datasources/connectors describe how to read data; Checkpoints run validation and emit Data Docs / action notifications. Agents encode measurable contracts (null rates, ranges, set membership, row counts), fail pipelines on critical expectations, and keep suites versioned with code.

Datasource -> Batch -> Expectation Suite
                         -> Checkpoint / Validation Result
                         -> Data Docs / actions (Slack, store)

When to use this skill

• Blocking bad data before warehouse loads or model training
• Documenting statistical contracts for analytics tables
• CI checks on sample fixtures plus scheduled prod validations

Operational directives