Gcp Cloud Architect

Since the source file appears to be empty or unavailable, here's what you're getting: a skill that helps Claude understand GCP architecture patterns and best practices. You'd use this when you need help designing cloud infrastructure on Google Cloud Platform, making decisions about which services to use, or reviewing architecture designs for scalability and cost optimization. It won't replace your cloud architect certification study, but it's handy for sanity checking your VPC setup or figuring out whether Cloud Run or GKE makes more sense for your workload. Think of it as a knowledgeable colleague who's spent time in the GCP console.

skills.sh installs: 732
GitHub stars: 29.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add alirezarezvani/claude-skills --skill gcp-cloud-architect --agent claude-code

Installs into .claude/skills of the current project.

Files

GCP Cloud Architect

Design scalable, cost-effective Google Cloud architectures for startups and enterprises with infrastructure-as-code templates.

Workflow

Step 1: Gather Requirements

Collect application specifications:

- Application type (web app, mobile backend, data pipeline, SaaS)
- Expected users and requests per second
- Budget constraints (monthly spend limit)
- Team size and GCP experience level
- Compliance requirements (GDPR, HIPAA, SOC 2)
- Availability requirements (SLA, RPO/RTO)

Step 2: Design Architecture

Run the architecture designer to get pattern recommendations:

python scripts/architecture_designer.py --input requirements.json

Example output:

{
  "recommended_pattern": "serverless_web",
  "service_stack": ["Cloud Storage", "Cloud CDN", "Cloud Run", "Firestore", "Identity Platform"],
  "estimated_monthly_cost_usd": 30,
  "pros": ["Low ops overhead", "Pay-per-use", "Auto-scaling", "No cold starts on Cloud Run min instances"],
  "cons": ["Vendor lock-in", "Regional limitations", "Eventual consistency with Firestore"]
}

SKILL.md on GitHub