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gcp-data-pipelines

Skill

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 req

0Data Engineering

Install

git clone https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git ~/.claude/skills/gcp-data-pipelines

What is gcp-data-pipelines?

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. '

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~96 tokens of context used while enabled, before you invoke anything

Documentation

README · ~5 min read

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.

Task Execution Workflow

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