
from flowgrammers-skills20
Design scalable, cost-effective Google Cloud architectures for startups and enterprises; generates IaC templates, cost estimates, and deployment/CI patterns.
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.
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).
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).
GCP Cloud Architect skill provides a well-organized 6-step workflow for designing GCP architectures with cost estimation and IaC generation. The SKILL.md is thorough with clear examples, anti-patterns, and cross-references. However, the three referenced Python scripts (architecture_designer.py, cost_optimizer.py, deployment_manager.py) are not bundled — the skill references them but cannot execute them, making the core workflow non-functional without manual setup. Written in Portuguese.
Clean security profile with no concerning patterns. Main issue is that the skill advertises executable scripts but doesn't include them — the workflow steps 2-4 all depend on running Python scripts that aren't present. This makes the skill a reference guide rather than a functional skill. The Portuguese language is consistent throughout and doesn't appear to be obfuscation.