gcp

Automate provisioning, deployment, and orchestration of Google Cloud Platform resources via CLI, SDKs, and Terraform.

1|Updated Dec 10, 2025
One-click install
npx skills add https://github.com/markus41/lobbi-design-system --skill gcp-markus41
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gcp
Source: https://github.com/markus41/lobbi-design-system/tree/main/.claude/skills/gcp
Command: npx skills add https://github.com/markus41/lobbi-design-system --skill gcp-markus41

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gcloud-cli, google-cloud-sdk, terraform.

What problem does it solve?

This Skill simplifies the complex tasks of provisioning, managing, and troubleshooting Google Cloud Platform resources, allowing you to deploy and maintain your cloud infrastructure efficiently and securely.

Core Features & Use Cases

  • Resource Management: Interact with GKE, Cloud Run, Cloud Storage, BigQuery, and Pub/Sub via gcloud CLI and Python SDK.
  • Infrastructure as Code (IaC): Define and manage GCP resources using Terraform configurations.
  • Deployment Automation: Deploy containerized applications to Cloud Run and manage Kubernetes clusters with GKE.
  • Use Case: Deploy a containerized application to Cloud Run, configure its environment variables, and make it publicly accessible, all through automated commands.

Quick Start

Deploy a Docker image 'gcr.io/PROJECT_ID/agent:latest' to Google Cloud Run as service 'golden-armada-api'.

Frequently Asked Questions about gcp

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

FAQPage Schema
How do I deploy a containerized application to Google Cloud Run?

Deploy a containerized application to Cloud Run by pushing your Docker image to Google Container Registry, then using gcloud CLI or Terraform to create a Cloud Run service with your image URI. The service becomes publicly accessible with an auto-generated HTTPS URL.

Can I use Terraform to manage Google Cloud infrastructure?

Yes, Terraform is a supported tool for defining and managing GCP resources including GKE clusters, Cloud Run services, Cloud Storage buckets, BigQuery datasets, and Pub/Sub topics as infrastructure-as-code configurations.

What GCP services can I provision and automate with gcloud CLI?

You can provision and manage GKE clusters, Cloud Run services, Cloud Storage buckets, BigQuery datasets and tables, and Pub/Sub topics and subscriptions through gcloud CLI commands for authentication, resource creation, updating, and retrieval.

How do I set up authentication and project configuration for Google Cloud resources?

Configure authentication and project settings using gcloud CLI or Python SDKs by installing google-cloud-sdk and running gcloud auth and gcloud config commands to establish credentials and specify your target GCP project.

Does this support managing Kubernetes clusters on Google Cloud?

Yes, GKE cluster provisioning, deployment, and orchestration are supported through gcloud CLI, Python SDKs, and Terraform configurations for automated cluster creation and management on Google Cloud.

What's the best way to automate BigQuery dataset and table creation?

Automate BigQuery resource creation using Terraform configurations or Python SDK scripts to define datasets and tables with schema definitions, then apply or execute them through automated workflows for infrastructure-as-code management.