What problem does it solve? Choosing the right Google Cloud tool for a data pipeline is confusing when options include dbt, Dataflow, Dataform, Spark, BigQuery DTS, and Cloud Composer. This Skill acts as a decision router that detects existing pipelines in your workspace and guides you to the correct specialized skill. ## Core Features & Use Cases - Workspace Detection: Scans for indicator files like dbt_project.yml, workflow_settings.yaml, dataform.json, and Apache Beam imports to identify existing pipelines automatically. - Tool Selection Guidance: Presents a comparison of GCP pipeline tools (dbt, Dataflow, Dataform, Spark on Dataproc Serverless, BigQuery DTS) with best-fit scenarios for each. - Orchestration Routing: Directs scheduling and deployment requests to Cloud Composer orchestration or declarative resource provisioning skills. - Use Case: You ask to "run the pipeline" in a repo containing both dbt and Spark jobs. The Skill detects both, asks which component to run, clarifies whether to run locally or deploy via Cloud Composer, then activates the matching skill. ## Quick Start Ask the agent to help you build or run a data pipeline on Google Cloud and let it detect your workspace setup before recommending a tool.
