Cloud Architect

This is your go-to for designing cloud infrastructure that actually works across AWS, Azure, and GCP. It walks through a six-step workflow from discovery to operation, with validation checkpoints that catch issues before migration cutover (like verifying VPC peering is actually active). The skill includes practical Terraform examples for VPCs, auto-scaling groups, and least-privilege IAM, plus CLI commands for cost analysis and health checks. What I like is the strict constraints list: it forces high availability design, infrastructure as code, and proper disaster recovery testing. The reference system loads context-specific guides for each cloud provider, so you're not drowning in irrelevant documentation when you just need to optimize GCP costs.

skills.sh installs: 4.9K
GitHub stars: 12.3K
last updated: Aug 21, 2026

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Install

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

Installs into .claude/skills of the current project.

Files

Cloud Architect

Core Workflow

Discovery — Assess current state, requirements, constraints, compliance needs
Design — Select services, design topology, plan data architecture
Security — Implement zero-trust, identity federation, encryption
Cost Model — Right-size resources, reserved capacity, auto-scaling
Migration — Apply 6Rs framework, define waves, validate connectivity before cutover
Operate — Set up monitoring, automation, continuous optimization

Workflow Validation Checkpoints

After Design: Confirm every component has a redundancy strategy and no single points of failure exist in the topology.

Before Migration cutover: Validate VPC peering or connectivity is fully established:

# AWS: confirm peering connection is Active before proceeding
aws ec2 describe-vpc-peering-connections \
  --filters "Name=status-code,Values=active"

# Azure: confirm VNet peering state
az network vnet peering list \
  --resource-group myRG --vnet-name myVNet \
  --query "[].{Name:name,State:peeringState}"

SKILL.md on GitHub