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Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud archit
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add Jeffallan/claude-skills --skill cloud-architect -a cursor -y
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.
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}"
After Migration: Verify application health and routing:
# AWS: check target group health in ALB
aws elbv2 describe-target-health \
--target-group-arn arn:aws:elasticloadbalancing:...
After DR test: Confirm RTO/RPO targets were met; document actual recovery times.
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| AWS Services | references/aws.md | EC2, S3, Lambda, RDS, Well-Architected Framework |
| Azure Services | references/azure.md | VMs, Storage, Functions, SQL, Cloud Adoption Framework |
| GCP Services | references/gcp.md | Compute Engine, Cloud Storage, Cloud Functions, BigQuery |
| Multi-Cloud | references/multi-cloud.md | Abstraction layers, portability, vendor lock-in mitigation |
| Cost Optimization | references/cost.md | Reserved instances, spot, right-sizing, FinOps practices |
Rather than broad policies, scope permissions to specific resources and actions:
# AWS: create a scoped role for an application
aws iam create-role \
--role-name AppRole \
--assume-role-policy-document file://trust-policy.json
aws iam put-role-policy \
--role-name AppRole \
--policy-name AppInlinePolicy \
--policy-document '{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["s3:GetObject", "s3:PutObject"],
"Resource": "arn:aws:s3:::my-app-bucket/*"
}]
}'
# Terraform equivalent
resource "aws_iam_role" "app_role" {
name = "AppRole"
assume_role_policy = data.aws_iam_policy_document.trust.json
}
resource "aws_iam_role_policy" "app_policy" {
role = aws_iam_role.app_role.id
policy = jsonencode({
Version = "2012-10-17"
Statement = [{
Effect = "Allow"
Action = ["s3:GetObject", "s3:PutObject"]
Resource = "${aws_s3_bucket.app.arn}/*"
}]
})
}
resource "aws_vpc" "main" {
cidr_block = "10.0.0.0/16"
enable_dns_hostnames = true
tags = { Name = "main", CostCenter = var.cost_center }
}
resource "aws_subnet" "private" {
count = 2
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet("10.0.0.0/16", 8, count.index)
availability_zone = data.aws_availability_zones.available.names[count.index]
}
resource "aws_subnet" "public" {
count = 2
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet("10.0.0.0/16", 8, count.index + 10)
availability_zone = data.aws_availability_zones.available.names[count.index]
map_public_ip_on_launch = true
}
resource "aws_autoscaling_group" "app" {
desired_capacity = 2
min_size = 1
max_size = 10
vpc_zone_identifier = aws_subnet.private[*].id
launch_template {
id = aws_launch_template.app.id
version = "$Latest"
}
tag {
key = "CostCenter"
value = var.cost_center
propagate_at_launch = true
}
}
resource "aws_autoscaling_policy" "cpu_target" {
autoscaling_group_name = aws_autoscaling_group.app.name
policy_type = "TargetTrackingScaling"
target_tracking_configuration {
predefined_metric_specification {
predefined_metric_type = "ASGAverageCPUUtilization"
}
target_value = 60.0
}
}
# AWS: identify top cost drivers for the last 30 days
aws ce get-cost-and-usage \
--time-period Start=$(date -d '30 days ago' +%Y-%m-%d),End=$(date +%Y-%m-%d) \
--granularity MONTHLY \
--metrics "UnblendedCost" \
--group-by Type=DIMENSION,Key=SERVICE \
--query 'ResultsByTime[0].Groups[*].{Service:Keys[0],Cost:Metrics.UnblendedCost.Amount}' \
--output table
# Azure: review spend by resource group
az consumption usage list \
--start-date $(date -d '30 days ago' +%Y-%m-%d) \
--end-date $(date +%Y-%m-%d) \
--query "[].{ResourceGroup:resourceGroup,Cost:pretaxCost,Currency:currency}" \
--output table
When designing cloud architecture, provide:
Maintained by @jeffallan, Principal Consultant at Synergetic Solutions