platform

A RevOS data-engineering skill that runs Cube.js queries against a semantic model and renders the results inline as tables or charts, part of a bundle covering connections, dbt transformations, and data visualization.

A RevOS data-engineering skill that guides AI agents through authoring Connection YAML files to sync data sources into the warehouse, as part of the end-to-end RevOS pipeline including BigQuery, dbt, and Cube.dev.

A data engineering skill from RevOS that generates Cube.dev cube definitions from dbt gold models, part of an end-to-end workflow covering data connections, lakehouse exploration, dbt transformations, and semantic model querying.

Part of the RevOS data engineering skill bundle that provides a complete workflow for creating connections, exploring the BigQuery lakehouse, building dbt transformation models, generating Cube.dev definitions, and querying semantic models.

A RevOS data-engineering skill that inspects the BigQuery lakehouse by exploring datasets, schemas, sample rows, and null rates, as part of an end-to-end pipeline workflow that includes connections, dbt transformations, and Cube.dev semantic models.

A RevOS data engineering skill that renders visual model graphs of Cube.dev semantic model relations, part of a bundle covering connections, data loading, BigQuery exploration, dbt transformations, and Cube definitions.

A RevOS data-engineering skill that populates a BigQuery dataset with sample data via bq cp, part of the end-to-end RevOS data-engineering workflow bundle installed by default with revos init.

End-to-end RevOS data-engineering workflow as Agent Skills: connect sources, load sample data, explore the BigQuery lakehouse, author dbt silver/gold transformations, define Cube.dev semantic models, and query or visualize them.

RevOS data-engineering Agent Skills — discoverable via Claude Code plugin marketplace and GitHub-backed skill registries.