This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud.
It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
Skills 33 in the Claude listing
Accidental data loss prevention STOP AND VERIFY: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. Bigquery ai ml Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Bigquery bigframes Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery. Bigquery data transfer service Discovers and inspects BigQuery Data Transfer Service (DTS) configurations. Bigquery graph Provides guidelines and best practices for querying and defining property graphs and semantic graphs in BigQuery using GQL (Graph Query Language). Bigquery sql Provides BigQuery SQL query optimization techniques, execution best practices, and performance tuning rules for high-efficiency querying. Bigtable basics Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Building data apps Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Data autocleaning Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Dataform bigquery Expertise in generating clean, correct, and efficient Dataform pipeline code for BigQuery ELT. Dbt bigquery Expert guidance for creating, modifying, and optimizing dbt pipelines for BigQuery. Discovering gcp data assets Finds and inspects data assets within Google Cloud. Enforcing resource attribution Enforces resource attribution for CLI commands. Federate lakehouse catalog Sets up Google Cloud Lakehouse federated catalogs to remote Iceberg REST Catalogs. Gcp composer troubleshooting Provides expert guidance for troubleshooting Cloud Composer (Apache Airflow) and Orchestration pipelines. Gcp data pipelines Primary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Gcp dataflow Guides writing, packaging, executing, and troubleshooting Apache Beam pipelines on Dataflow. Gcp managed airflow dag authoring Guides the authoring and validation of Apache Airflow DAGs for Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Gcp managed airflow migrations Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Gcp managed airflow recommendations Provides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA, Cloud Composer) environments. Gcp pipeline orchestration This skill helps the agent generate or update orchestration pipeline definitions for Google Cloud Composer to initialize orchestration pipeline or update the orchestration definition for orchestration Gcp pipeline resource provisioning Automates declarative resource creation and provisioning for data pipelines, supporting BigQuery, Dataform, Dataproc, BigQuery Data Transfer Service (DTS), and other resources. Gcp spark Develops and executes Spark code on Managed Spark on Google Cloud (Dataproc Clusters and Serverless). Gcs security assessment Assesses the security posture of Google Cloud Storage (GCS) buckets and projects. Google cloud auth verification Mandatory Step 0 pre-flight execution order and authentication verification for Google Cloud Platform (GCP), Application Default Credentials (ADC), gcloud CLI, Spark, Dataproc, BigQuery, GCS, and note Google cloud storage basics Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Google cloud storage bucket architect Creates Cloud Storage (Google Cloud Storage, or GCS) buckets. Google cloud storage fuse Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Managing python dependencies Ensures proper Python dependency management, avoiding global `pip install` and adhering to project-specific tooling. Ml best practices CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Notebook guidance This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. Resolving mcp region configs Mandatory Step 0 pre-flight check for regional Google Cloud MCP servers (e.g. Schema mapping Guides the process of analyzing, mapping, and documenting transformations between source and target schemas for any database, data warehouse, or data platform.