GCP Cloud Architect

What it does

GCP Cloud Architect provides a step-by-step workflow for designing Google Cloud architectures: collect requirements, recommend a pattern (serverless, GKE, data pipeline, ML), estimate costs, generate infrastructure-as-code templates, configure CI/CD, and run a security checklist. The skill produces concrete artifacts (Terraform HCL snippets, gcloud commands, Cloud Build YAML) and pragmatic trade-offs for cost and availability.

When to use it

Use when planning a new service or migrating to GCP, when you need a default recommended pattern for a given scale and budget, or when you want automated IaC templates and cost optimization suggestions. It's suited for startups (serverless patterns) and medium-scale SaaS (GKE patterns).

What's included

• Scripts: the skill references generator and optimizer scripts (architecture_designer.py, cost_optimizer.py, deployment_manager.py) though has_scripts=false in the fetch metadata; check the repo for runnable scripts.
• References: descriptive reference docs for architecture patterns, service selection, and best practices (has_references=false per fetch metadata, but the SKILL includes reference file names).
• Instructions: detailed workflow with input JSON examples, example outputs, IaC snippets, CI/CD templates, and security review steps.

Compatible agents

Best used by agents that can run or orchestrate scripts and present structured outputs (e.g., Copilot/Codex-style agents or assistants with Python execution capability).