Catch bad data before it reaches dashboards — Great Expectations and Soda for validation, dbt tests, and pipeline-level reconciliation across warehouses
5 skills · Works with Claude Code, Codex, Cursor & more
Validate data quality with Great Expectations 1.x. Generates Expectation Suites, Checkpoints, Data Docs, and integrations with Airflow, dbt, and CI pipelines to catch bad data before it reaches downstream.
claude install-skill community/great-expectations Test data quality with Soda Core and SodaCL. Generates YAML check definitions, anomaly detection rules, dbt integrations, and CI scans for freshness, schema, distribution, and reconciliation.
claude install-skill community/soda-data-quality Author dbt models, tests, and docs for analytics warehouses. Generates staging/mart layers, incremental models, snapshot logic, ref/source patterns, and CI tests for Snowflake, BigQuery, and Databricks.
claude install-skill community/dbt-models QA analysis before sharing: methodology checks, accuracy, aggregation logic, bias review.
/data:validate-data Author, schedule, and monitor data workflows with Apache Airflow. Generates DAGs, custom operators, TaskFlow API pipelines, sensors, XCom patterns, and deferrable operators for production orchestration.
claude install-skill community/airflow-orchestration Build AI-powered applications with RAG, multi-agent systems, prompt engineering, and MCP integrations
Modern warehouse-native data engineering — dbt for transformations, Dagster for orchestration, DuckDB and Polars for fast local analytics, plus pipeline and SQL fundamentals
End-to-end deployment, monitoring, and infrastructure skills for shipping and operating production systems