Provides AWS CloudFormation patterns for EC2 instances, Security Groups, IAM roles, and load balancers. Use when creating EC2 instances, SPOT instances, Security Groups, IAM roles for EC2, Application Load Balancers (ALB), Target Groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-ec2
Create production-ready EC2 infrastructure using AWS CloudFormation templates. Covers EC2 instances (On-Demand and SPOT), Security Groups, IAM roles, Application Load Balancers (ALB), template structure, parameters, outputs, and cross-stack references.
Use AWS-specific parameter types for validation and console dropdowns.
Parameters:
LatestAmiId:
Type: AWS::SSM::Parameter::Value<AWS::EC2::Image::Id>
Default: /aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2
InstanceType:
Type: AWS::EC2::InstanceType
Default: t3.micro
AllowedValues: [t3.micro, t3.small, t3.medium]
KeyName:
Type: AWS::EC2::KeyPair::KeyName
See template-structure.md for advanced parameter patterns, mappings, conditions, and cross-stack references.
Define ingress/egress rules for network access.
InstanceSecurityGroup:
Type: AWS::EC2::SecurityGroup
Properties:
GroupDescription: Security group for EC2 instance
VpcId: !Ref VpcId
SecurityGroupIngress:
- IpProtocol: tcp
FromPort: 80
ToPort: 80
CidrIp: 0.0.0.0/0
- IpProtocol: tcp
FromPort: 22
ToPort: 22
CidrIp: 10.0.0.0/16
See security-iam.md for advanced security group patterns, self-references, and IAM roles.
Define instance profile with least privilege permissions.
Ec2Role:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: ec2.amazonaws.com
Action: sts:AssumeRole
ManagedPolicyArns:
- arn:aws:iam::aws:policy/AmazonSSMManagedInstanceCore
Ec2InstanceProfile:
Type: AWS::IAM::InstanceProfile
Properties:
Roles: [!Ref Ec2Role]
See security-iam.md for least privilege policies, SSM roles, and trust policies.
Configure instance with security group, IAM role, and user data.
Ec2Instance:
Type: AWS::EC2::Instance
Properties:
ImageId: !Ref LatestAmiId
InstanceType: !Ref InstanceType
KeyName: !Ref KeyName
SecurityGroupIds: [!Ref InstanceSecurityGroup]
IamInstanceProfile: !Ref Ec2InstanceProfile
SubnetId: !Ref SubnetId
UserData:
Fn::Base64: |
#!/bin/bash
yum update -y
yum install -y httpd
systemctl start httpd
Tags:
- Key: Name
Value: !Sub ${AWS::StackName}-instance
See ec2-instances.md for multi-volume configurations, detailed monitoring, SPOT instances, and complete stack examples.
Validate template: aws cloudformation validate-template --template-body file://template.yaml
Create ALB with target group and listener for traffic distribution.
ApplicationLoadBalancer:
Type: AWS::ElasticLoadBalancingV2::LoadBalancer
Properties:
Name: !Sub ${AWS::StackName}-alb
Scheme: internet-facing
SecurityGroups: [!Ref AlbSecurityGroup]
Subnets: [!Ref PublicSubnet1, !Ref PublicSubnet2]
ApplicationTargetGroup:
Type: AWS::ElasticLoadBalancingV2::TargetGroup
Properties:
Port: 80
Protocol: HTTP
VpcId: !Ref VpcId
HealthCheckPath: /health
ApplicationListener:
Type: AWS::ElasticLoadBalancingV2::Listener
Properties:
DefaultActions:
- Type: forward
TargetGroupArn: !Ref ApplicationTargetGroup
LoadBalancerArn: !Ref ApplicationLoadBalancer
Port: 80
Protocol: HTTP
See load-balancers.md for HTTPS configuration, path-based routing, host-based routing, listener rules, and ALB attributes.
Export values for cross-stack references.
Outputs:
InstanceId:
Description: EC2 Instance ID
Value: !Ref Ec2Instance
Export:
Name: !Sub ${AWS::StackName}-InstanceId
SecurityGroupId:
Description: Security Group ID
Value: !Ref InstanceSecurityGroup
Export:
Name: !Sub ${AWS::StackName}-SecurityGroupId
LoadBalancerDnsName:
Description: ALB DNS Name
Value: !GetAtt ApplicationLoadBalancer.DNSName
See template-structure.md for cross-stack reference patterns and import/export strategies.
AWSTemplateFormatVersion: "2010-09-09"
Description: EC2 instance with ALB
Parameters:
LatestAmiId:
Type: AWS::SSM::Parameter::Value<AWS::EC2::Image::Id>
Default: /aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2
InstanceType:
Type: AWS::EC2::InstanceType
Default: t3.micro
Resources:
InstanceSecurityGroup:
Type: AWS::EC2::SecurityGroup
Properties:
GroupDescription: Enable HTTP and SSH
SecurityGroupIngress:
- IpProtocol: tcp
FromPort: 80
ToPort: 80
CidrIp: 0.0.0.0/0
Ec2Instance:
Type: AWS::EC2::Instance
Properties:
ImageId: !Ref LatestAmiId
InstanceType: !Ref InstanceType
SecurityGroupIds: [!Ref InstanceSecurityGroup]
LoadBalancer:
Type: AWS::ElasticLoadBalancingV2::LoadBalancer
Properties:
Scheme: internet-facing
SecurityGroups: [!Ref InstanceSecurityGroup]
Subnets: [subnet-12345678, subnet-87654321]
Outputs:
InstanceId:
Value: !Ref Ec2Instance
LoadBalancerDns:
Value: !GetAtt LoadBalancer.DNSName
# Create change set
aws cloudformation create-change-set \
--stack-name my-ec2-stack \
--template-body file://template.yaml \
--change-set-type CREATE
# Execute after review
aws cloudformation execute-change-set \
--change-set-name <change-set-name>
See examples.md for complete production-ready templates.
AWS::EC2::VPC::Id, AWS::EC2::InstanceType)AWS::StackName prefixaws cloudformation validate-templateSee best-practices.md for detailed guidance on stack policies, termination protection, drift detection, change set automation, and validation scripts.
See constraints.md for complete constraints, troubleshooting guides, and monitoring setup.
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take giuseppe-trisciuoglio/aws-cloudformation-ec2 from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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