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gcp-pipeline-resource-provisioning

Provision GCP data pipeline resources from deployment.yaml configurations.

Updated Jun 5, 2026
Search Tags:#GCP#BigQuery#data pipelines#resource provisioning#Dataproc
One-click install
npx skills add https://github.com/RxFit/hub-overlay --skill gcp-pipeline-resource-provisioning-rxfit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gcp-pipeline-resource-provisioning
Source: https://github.com/RxFit/hub-overlay/tree/main/hub/skills/gcp-pipeline-resource-provisioning
Command: npx skills add https://github.com/RxFit/hub-overlay --skill gcp-pipeline-resource-provisioning-rxfit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation and provisioning of GCP resources for data pipelines, streamlining the deployment process and reducing manual configuration overhead.

Core Features & Use Cases

  • Declarative Resource Creation: Define resource configurations in a deployment.yaml file and automate their creation.
  • Environment-Specific Configurations: Manage different environments (dev, staging, prod) with specific configurations.
  • Supported Resources: Automates provisioning for BigQuery, Dataform, Dataproc, BigQuery Data Transfer Service (DTS), and more.
  • Use Case: Ideal for data engineers or DevOps professionals looking to automate the setup of GCP resources for data pipelines.

Quick Start

Use the gcp-pipeline-resource-provisioning skill to deploy resources defined in the 'deployment.yaml' file for the 'dev' environment.

Frequently Asked Questions about gcp-pipeline-resource-provisioning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate GCP resource provisioning for data pipelines?▼

Automate GCP resource provisioning by defining configurations in a deployment.yaml file to declaratively create BigQuery, Dataproc, Dataform, and DTS resources.

Can I manage environment-specific configurations for Dataproc and BigQuery pipelines?▼

Yes, you can manage environment-specific configurations for Dataproc and BigQuery by defining distinct settings for dev, staging, and prod environments within your deployment.yaml file.

What GCP resources can I provision declaratively for data pipelines?▼

You can declaratively provision GCP resources including BigQuery, Dataform, Dataproc, and BigQuery Data Transfer Service (DTS) using a centralized deployment.yaml configuration file.

Does gcloud beta orchestration-pipelines support BigQuery Data Transfer Service deployment?▼

Yes, the skill utilizes gcloud beta orchestration-pipelines to manage resource provisioning, which includes support for deploying BigQuery Data Transfer Service (DTS) alongside Dataproc and Dataform.

Do I need a deployment.yaml file to provision GCP data pipeline resources?▼

Yes, a deployment.yaml file is required for configuration to define the declarative resource specifications needed to provision GCP data pipeline resources across different environments.

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