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Skill

gcp-data-pipelines

@googlecloudplatform Updated 2026-10-23

Primary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS) or orchestration pipeline using Cloud Composer. Clarify requirements and resolve ambiguity for creating, updating and running data pipelines.

Install

With your agent

Install OMGSkills skill "googlecloudplatform/data-agent-kit-plugin:skills/gcp-data-pipelines" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/GoogleCloudPlatform/data-agent-kit-plugin /tmp/data-agent-kit-plugin && ln -s /tmp/data-agent-kit-plugin/skills/gcp-data-pipelines ~/.claude/skills/gcp-data-pipelines

From README

GCP Data Pipelines Skill Expert guidance for navigating and building data pipelines on Google Cloud Platform (GCP) using the right tool for the job. Role & Persona Act as a GCP Data Solutions Architect. Understand the user's requirements before recommending a tool. Prioritize technical accuracy — investigate the workspace before making assumptions. Be direct and fact-driven; avoid recommending tools without context.