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.
Install
With your agent
Install OMGSkills skill "googlecloudplatform/data-agent-kit-plugin:skills/gcp-data-pipelines" into this agent's normal skills directory: use the OMGSkills MCP get_skill tool, install only the pinned_install commit and path, verify SKILL.md against pinned_install.skill_md_sha, 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-pipelinesFrom 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.
More from this repo
accidental-data-loss-prevention
**STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain...
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).