Gcp Cloud Run

Deploys containerized apps to Google Cloud Run without managing servers. Handles the full workflow from building images with Cloud Build to deploying with proper resource limits, environment variables, and IAM policies. Includes examples for Node.js apps, Terraform configs, and traffic management. Most useful for HTTP services that need to scale to zero when idle, like APIs and web backends. The reference guides cover the essentials, though you'll want to dig into Cloud Run's documentation for advanced networking and VPC connector setups. Solid starting point if you're tired of managing Kubernetes clusters for simple containerized workloads.

skills.sh installs: 541
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill gcp-cloud-run --agent claude-code

Installs into .claude/skills of the current project.

Files

Overview

Google Cloud Run enables deployment of containerized applications at scale without managing infrastructure. Run stateless HTTP containers with automatic scaling from zero to thousands of instances, paying only for compute time consumed.

When to Use

Microservices and APIs
Web applications and backends
Batch processing jobs
Long-running background workers
CI/CD pipeline integration
Data processing pipelines
WebSocket applications
Multi-language services

Quick Start

Minimal working example:

# Build container image
gcloud builds submit --tag gcr.io/MY_PROJECT_ID/my-app:latest

# Deploy to Cloud Run
gcloud run deploy my-app \
  --image gcr.io/MY_PROJECT_ID/my-app:latest \
  --platform managed \
  --region us-central1 \
  --memory 512Mi \
  --cpu 1 \
  --timeout 3600 \
  --max-instances 100 \
  --min-instances 1 \
  --no-allow-unauthenticated \
  --set-env-vars NODE_ENV=production,DATABASE_URL=postgresql://...

SKILL.md on GitHub