GCP Cloud Architect — Data

Design scalable, cost-effective Google Cloud architectures for startups and enterprises, covering Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization. It guides users through requirements gathering, architecture design, cost estimation, infrastructure-as-code generation, CI/CD setup, and security review, producing Terraform templates, gcloud commands, and cost analysis reports.

engineering claude-code

📂 View skill on GitHub ↗ 🚀 How to use

✨ What it does

Recommends architecture patterns based on workload requirements (serverless, GKE, data pipeline, ML).
Generates Terraform HCL and gcloud CLI deployment scripts.
Provides cost optimization recommendations including right-sizing and committed use discounts.
Includes security review checklist for IAM, VPC Service Controls, and encryption.
Offers CI/CD configuration examples with Cloud Build.
Covers common deployment failure causes and troubleshooting steps.

🎯 When to use it

When asked to design Google Cloud infrastructure for a new application or service.
When deploying to GKE or Cloud Run and need a production-ready architecture.
When configuring BigQuery pipelines or data processing workflows on GCP.
When optimizing GCP costs and looking for savings recommendations.
When migrating existing workloads to Google Cloud.

🚀 How to use

Trigger the skill by asking for GCP architecture design, deployment, or cost optimization. Provide application details such as type, expected scale, budget, compliance, and availability. The skill runs scripts to generate designs, cost estimates, and IaC templates. Example prompts:

Design a serverless web backend for a mobile app with 1000 users.
Optimize my current GCP setup for cost savings.
Generate Terraform for a Cloud Run service with Firestore.

📄 Output: Architecture design documents, Terraform configurations, gcloud deployment scripts, cost analysis reports, and CI/CD pipeline definitions.

📦 Add this skill to Claude Code

# 1. Get the skills repo
git clone --depth 1 https://github.com/alirezarezvani/claude-skills /tmp/claude-skills

# 2. Copy this skill into your project (or ~/.claude/skills for all projects)
mkdir -p .claude/skills
cp -r /tmp/claude-skills/engineering-team/skills/gcp-cloud-architect .claude/skills/gcp-cloud-architect

Skill source: engineering-team/skills/gcp-cloud-architect/SKILL.md

⚠️ Good to know

Requires Python environment to run the provided scripts; assumes GCP project and billing are already set up.

❓ FAQ

What architecture patterns does the skill support?

It supports serverless web, microservices on GKE, serverless data pipeline, and ML platform patterns.

How does the skill help with cost optimization?

It analyzes current resources and provides recommendations like right-sizing, committed use discounts, and storage class transitions.

What outputs does the deployment manager generate?

It generates Terraform HCL and gcloud CLI scripts for deploying services like Cloud Run and Firestore.

🤖 Overview, features, install steps and FAQ were generated from the project's SKILL.md on Sep 4, 2026. Always check the original source before running commands.