google-cloud

Q: How do I install google-cloud?

Run npx skills add https://github.com/dauquangthanh/hanoi-rainbow --skill google-cloud in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/google-cloud/ (personal) or .claude/skills/google-cloud/ (project).

by dauquangthanhDevOps & Cloud

Provides comprehensive Google Cloud Platform (GCP) guidance including Compute Engine, Cloud Storage, Cloud SQL, BigQuery, GKE (Google Kubernetes Engine), Cloud Functions, Cloud Run, VPC networking, load balancing, IAM, Cloud Build, infrastructure as code (Terraform, Deployment Manager), security configuration, cost optimization, and multi-region deployment. Produces infrastructure code, deployment scripts, configuration guides, and architecture designs. Use when deploying to Google Cloud, designing GCP infrastructure, migrating to GCP, configuring GCE instances, setting up Cloud Storage, managing Cloud SQL databases, working with BigQuery, deploying to GKE, or when users mention "Google Cloud", "GCP", "Compute Engine", "Cloud Storage", "BigQuery", "GKE", "Cloud Run", "Cloud Functions", "VPC", "Cloud SQL", or "Google Cloud Platform".

Installs: 45
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/dauquangthanh/hanoi-rainbow --skill google-cloud

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads google-cloud automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Google Cloud Platform (GCP)

Core Capabilities

Provides expert guidance for Google Cloud Platform across all major services:

Compute Services - Compute Engine (VMs), Cloud Run, Cloud Functions, App Engine
Container & Kubernetes - Google Kubernetes Engine (GKE), Artifact Registry, Cloud Build
Storage Services - Cloud Storage (buckets), Persistent Disk, Filestore
Database Services - Cloud SQL, Cloud Spanner, Firestore, Bigtable, Memorystore
Data & Analytics - BigQuery, Dataflow, Dataproc, Pub/Sub, Composer
Networking - VPC, Cloud Load Balancing, Cloud CDN, Cloud Armor, Cloud Interconnect
Security & IAM - Identity and Access Management, Secret Manager, Cloud KMS, Security Command Center
Infrastructure as Code - Terraform Google provider, Deployment Manager, Config Connector

Key Principles

General Best Practices

Follow least privilege - Use IAM roles with minimal required permissions
Enable monitoring - Configure Cloud Monitoring and Logging for all services
Use managed services - Prefer GKE Autopilot, Cloud SQL, Cloud Run over self-managed
Implement IaC - Use Terraform or Deployment Manager for reproducible infrastructure
Tag resources - Apply labels for cost allocation and organization
Design for HA - Use regional resources and multi-zone deployments
Secure by default - Enable encryption, use private IPs, configure VPC Service Controls
Optimize costs - Use committed use discounts, autoscaling, and appropriate resource sizing

Architecture Patterns

Multi-tier applications: VPC + Cloud Load Balancer + GKE/Cloud Run + Cloud SQL
Data pipelines: Pub/Sub → Dataflow → BigQuery with Cloud Storage staging
Serverless APIs: Cloud Run + Cloud SQL + Secret Manager + Cloud Armor
Hybrid connectivity: VPN or Cloud Interconnect + Shared VPC + Private Google Access

When to Use What

Compute Engine: Full VM control, Windows workloads, lift-and-shift migrations
GKE: Containerized applications, microservices, Kubernetes workloads
Cloud Run: Stateless HTTP services, event-driven processing, auto-scaling needs
Cloud Functions: Event handlers, webhooks, simple integrations
Cloud SQL: Relational databases with minimal management
Cloud Spanner: Global distributed SQL, strong consistency across regions
BigQuery: Data warehouse, analytics, large-scale SQL queries
Firestore: Document database, real-time sync, mobile/web apps

Detailed References

Load reference files based on specific needs:

Compute Services: See compute-services.md for:
- Compute Engine machine types and selection guide
- Managed instance groups and autoscaling
- Custom images and startup scripts
- Preemptible VMs and spot instances
Container Orchestration: See container-orchestration.md for:
- GKE cluster setup and configuration
- Autopilot vs Standard mode comparison
- Node pool management and scaling
- Workload identity and service accounts
- GKE Ingress and Gateway API
Storage Solutions: See storage-solutions.md for:
- Cloud Storage bucket configuration
- Storage class selection and lifecycle policies
- Persistent disk types and performance
- Filestore for shared file systems
Database Services: See database-services.md for:
- Cloud SQL instance configuration
- Cloud Spanner for global databases
- Firestore data modeling
- Bigtable for large-scale NoSQL
- Memorystore for Redis/Memcached
Data & Analytics: See data-analytics.md for:
- BigQuery table design and optimization
- Dataflow streaming and batch pipelines
- Pub/Sub messaging patterns
- Cloud Composer (Airflow) workflows
- Data governance and security
Networking Architecture: See networking-architecture.md for:
- VPC design patterns and subnet planning
- Cloud Load Balancing configuration
- Cloud CDN and Cloud Armor setup
- VPN and Cloud Interconnect
- Shared VPC and peering
Serverless Computing: See serverless-computing.md for:
- Cloud Functions deployment and triggers
- Cloud Run service configuration
- App Engine standard and flexible
- Event-driven architectures
- Cold start optimization
Security & IAM: See security-iam.md for:
- IAM roles and service accounts
- Organization policies and constraints
- VPC Service Controls
- Secret Manager integration
- Cloud KMS encryption
- Security Command Center alerts
Infrastructure as Code: See infrastructure-as-code.md for:
- Terraform Google provider patterns
- Deployment Manager templates
- Config Connector for GKE
- CI/CD with Cloud Build
- State management best practices
Migration to GCP: See migration-to-gcp.md for:
- Migration planning and assessment
- Migrate for Compute Engine (Velostrata)
- Database migration service
- Storage transfer service
- Cutover strategies and validation
Monitoring & Logging: See monitoring-logging.md for:
- Cloud Monitoring setup and metrics
- Cloud Logging configuration
- Log-based alerts and metrics
- Cloud Trace for distributed tracing
- Cloud Profiler for performance
- Dashboards and SLO monitoring
CI/CD Pipeline: See cicd-pipeline.md for:
- Cloud Build configuration
- Artifact Registry for containers
- Deployment to GKE, Cloud Run, App Engine
- Binary Authorization for security
- Integration with GitHub, GitLab
Cost Management: See cost-management.md for:
- Billing reports and cost allocation
- Budget alerts and quotas
- Committed use discounts planning
- Resource optimization strategies
- Cost anomaly detection
Multi-Region Architecture: See multi-region-architecture.md for:
- Global load balancing patterns
- Multi-region database replication
- Cross-region data transfer
- Disaster recovery strategies
- Regional failover setup
Hybrid & Multi-Cloud: See hybrid-multi-cloud.md for:
- Anthos for hybrid Kubernetes
- Cloud Interconnect and VPN
- Multi-cloud networking patterns
- Workload migration strategies
- Identity federation
GCP CLI & Tools: See gcp-cli-tools.md for:
- gcloud CLI installation and configuration
- Common gcloud commands
- Cloud Shell usage
- gsutil for Cloud Storage
- bq for BigQuery operations
- kubectl for GKE management

FAQ

What does the google-cloud skill do?

How do I install google-cloud?

Run npx skills add https://github.com/dauquangthanh/hanoi-rainbow --skill google-cloud in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/google-cloud/ (personal) or .claude/skills/google-cloud/ (project).

Which AI agents can use google-cloud?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is google-cloud safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains google-cloud?

It is published by dauquangthanh in dauquangthanh/hanoi-rainbow. It has 45 recorded installs.

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