Data Agent Kit Starter Pack
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 (37)
Claude uses these on its own when your request matches.
- accidental-data-loss-preventionSTOP AND VERIFY: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. When in doubt, ask. It is better to wait for confirmation than to accidentally delete production data or critical project assets. Use this for:…
- bigquery-ai-mlLeverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI capabilities in BigQuery.
- bigquery-bigframesGenerates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.
- bigquery-data-transfer-serviceDiscovers and inspects BigQuery Data Transfer Service (DTS) configurations.
- bigquery-graph-authorProvides an end-to-end journey for authoring a BigQuery property graph from your tables or from a model document/diagram (an ER diagram, an ontology, a semantic model): dataset discovery, candidate relationships verified against the data, a readable plan, and `CREATE PROPERTY…
- bigquery-graph-queryProvides guidelines and best practices for querying BigQuery property graphs and semantic graphs: native GQL (Graph Query Language) pattern matching, multi-hop and variable-length paths, aggregation, top-N, path extraction, output formatting (graph visualization with TO_JSON vs…
- bigquery-sqlProvides BigQuery SQL query optimization techniques, execution best practices, and performance tuning rules for high-efficiency querying. Use when optimizing BigQuery SQL queries, reducing query costs, or designing performant SQL transformations.
- bigtable-basicsAssists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing…
- building-data-appsBuild modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1. User…
- dak-setupConfigures (or reconfigures) the Google Cloud Data Agent Kit (DAK) plugin by checking gcloud and ADC credentials, collecting the GCP project ID, region, and services, and running its bundled `dak-setup` script. Use this proactively and without waiting to be asked whenever a…
- data-autocleaningAutomated data quality and transformation capabilities for Dataform/dbt/BigQuery
- dataform-bigqueryExpertise in generating clean, correct, and efficient Dataform pipeline
- dbt-bigqueryExpert guidance for creating, modifying, and optimizing dbt pipelines
- discovering-gcp-data-assetsFinds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables -…
- enforcing-resource-attributionEnforces resource attribution for CLI commands. Use this skill whenever you are running `bq` or `gcloud` commands via `run_command`. It ensures mandatory labeling for supported `bq` operations while avoiding invalid flags on read-only commands.
- federate-lakehouse-catalogSets up Google Cloud Lakehouse federated catalogs to remote Iceberg REST Catalogs. Currently supported catalogs: Databricks Unity, AWS Glue. Supported clouds hosting those catalogs: GCP, AWS. The primary use case is connecting to remote data to query it from GCP engines…
- gcp-composer-troubleshootingProvides expert guidance for troubleshooting Cloud Composer (Apache
- gcp-data-pipelinesPrimary entry point for building, managing, and orchestrating data pipelines
- gcp-dataflowGuides writing, packaging, executing, and troubleshooting Apache Beam pipelines on Dataflow. Use when creating new pipelines, configuring Flex Templates, or analyzing performance of Dataflow jobs. Capabilities include Java/Python/Go setup, Cloud Build integration, and deep…
- gcp-managed-airflow-dag-authoringGuides the authoring and validation of Apache Airflow DAGs for Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when…
- gcp-managed-airflow-migrationsProvides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning…
- gcp-managed-airflow-recommendationsProvides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA, Cloud Composer) environments. Use when the user asks for guidance, recommendations, or best practices on configuring Cloud Composer, scaling…
- gcp-managed-spark-upgradesUpgrades GCP Spark/Dataproc jobs to newer versions by analyzing, remediating, and testing job on target image version. Use when: - Upgrading Spark/Dataproc versions (major, minor, or sub-minor). Example prompt: "Upgrade Dataproc job [job_id] in project [project_id], region…
- gcp-pipeline-orchestrationThis skill helps the agent generate or update orchestration pipeline
- gcp-pipeline-resource-provisioningAutomates declarative resource creation and provisioning for data pipelines, supporting BigQuery, Dataform, Dataproc, BigQuery Data Transfer Service (DTS), and other resources. It manages environment-specific configurations (dev, staging, prod) through a deployment.yaml file.…
- gcp-spark-troubleshootingProvides expert guidance for troubleshooting Google Cloud Spark and Dataproc workloads (Dataproc Serverless batches and standard Dataproc clusters), and inspecting, streaming, searching, tailing, or summarizing Spark driver outputs and event logs in Cloud Storage. Use when the…
- gcp-sparkDevelops, optimizes and executes Spark code on Managed Spark on Google Cloud (Dataproc Clusters and Serverless). Reads and writes data using BigLake Iceberg catalogs, BigQuery and Spanner. Debugs execution failures. Use when: - Writing Spark ETL pipelines on Google Cloud…
- gcs-security-assessmentAssesses the security posture of Google Cloud Storage (GCS) buckets and projects. Grounds every finding in gathered telemetry, evaluates buckets against Google security best practices (public access, IAM over-granting, CMEK, VPC Service Controls, audit logging), and correlates…
- google-cloud-auth-verificationMandatory 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 notebook runtimes. Use whenever interacting with GCP resources, running…
- google-cloud-storage-basicsStores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed…
- google-cloud-storage-bucket-architectCreates Cloud Storage (Google Cloud Storage, or GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a…
- google-cloud-storage-fuseMounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when you need to interact with gcsfuse — decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run,…
- managing-python-dependenciesEnsures proper Python dependency management, avoiding global `pip install` and adhering to project-specific tooling. Use this skill if any of the following are true: 1. Attempting to run `pip install {package_name}`. 2. Python packages or dependencies need to be added or…
- ml-best-practicesCRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical…
- notebook-guidanceThis skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool…
- resolving-mcp-region-configsMandatory Step 0 pre-flight check for regional Google Cloud MCP servers (e.g. Dataproc) before using MCP tools or falling back to gcloud/bq CLI. Use whenever interacting with Dataproc clusters, Spark batches, jobs, sessions, or regional GCP resources. Fixes regional MCP servers…
- schema-mappingGuides the process of analyzing, mapping, and documenting transformations between source and target schemas for any database, data warehouse, or data platform. Focuses exclusively on creating a high-fidelity mapping plan (Mapping Manifesto). Used when initiating an ETL, ELT, or…
Also adds hooks that run automatically at set points in a session.
Install
Run in your terminal
claude plugin install data-agent-kit-starter-pack@claude-plugins-officialClaude Code already includes the claude-plugins-official marketplace, so this installs directly. Start a new Claude Code session to use it.
Already in a Claude Code session?
Install
/plugin install data-agent-kit-starter-pack@claude-plugins-officialPublished in Anthropic's claude-plugins-official marketplace (anthropics/claude-plugins-official).
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