Automated management for AWS EC2 instances and infrastructure lifecycle.
Install
mkdir -p .claude/skills/ec2 && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3106" && unzip -o skill.zip -d .claude/skills/ec2 && rm skill.zipInstalls to .claude/skills/ec2
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
AWS EC2 virtual machine management for instances, AMIs, and networking. Use when launching instances, configuring security groups, managing key pairs, troubleshooting connectivity, or automating instance lifecycle.Key capabilities
- →Provision EC2 instances with custom configurations
- →Manage security group ingress and egress rules
- →Automate instance lifecycle via Auto Scaling Groups
- →Troubleshoot connectivity using Session Manager
- →Create and manage AMIs and EBS snapshots
How it works
It interacts with the AWS EC2 API to manage virtual machine lifecycles, networking, and security configurations through CLI commands or Python scripts.
Inputs & outputs
When to use ec2
- →Provision new EC2 instances
- →Configure security group rules
- →Troubleshoot SSH connection issues
- →Manage EBS volume snapshots
- →Set up Auto Scaling groups
About this skill
AWS EC2
Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud.
Advanced patterns (Auto Scaling, Spot Fleets, Session Manager, Instance Connect, IMDS, Placement Groups, scheduled scaling): see instance-management.md.
Table of Contents
Core Concepts
Instance Types
| Category | Example | Use Case |
|---|---|---|
| General Purpose | t3, m6i, t4g (Graviton) | Web servers, dev environments |
| Compute Optimized | c6i, c7g (Graviton) | Batch processing, gaming |
| Memory Optimized | r6i, r7g (Graviton) | Databases, caching |
| Storage Optimized | i3, d3 | Data warehousing |
| Accelerated | p4d, g5 | ML, graphics |
Graviton (ARM) instances (t4g, m7g, c7g, r7g) are ~20% cheaper than x86 equivalents for the same performance — worth considering for new workloads.
Purchasing Options
| Option | Description |
|---|---|
| On-Demand | Pay by the hour/second |
| Reserved | 1-3 year commitment, up to 72% discount |
| Spot | Unused capacity, up to 90% discount — can be interrupted with 2-minute notice |
| Savings Plans | Flexible commitment-based discount |
AMI (Amazon Machine Image)
Template containing OS, software, and configuration for launching instances. Use SSM Parameter Store to look up the latest official AMIs rather than hardcoding IDs:
# Latest Amazon Linux 2 AMI
aws ssm get-parameter \
--name /aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-gp2 \
--query 'Parameter.Value' --output text
# Latest Amazon Linux 2023
aws ssm get-parameter \
--name /aws/service/ami-amazon-linux-latest/al2023-ami-kernel-default-x86_64 \
--query 'Parameter.Value' --output text
# Latest Ubuntu 22.04
aws ssm get-parameter \
--name /aws/service/canonical/ubuntu/server/22.04/stable/current/amd64/hvm/ebs-gp2/ami-id \
--query 'Parameter.Value' --output text
Security Groups
Virtual firewalls controlling inbound and outbound traffic. Changes take effect immediately — no restart required.
Common Patterns
Launch an Instance
# Create key pair
aws ec2 create-key-pair \
--key-name my-key \
--query 'KeyMaterial' \
--output text > my-key.pem
chmod 400 my-key.pem
# Create security group
aws ec2 create-security-group \
--group-name web-server-sg \
--description "Web server security group" \
--vpc-id vpc-12345678
# Allow SSH and HTTP
aws ec2 authorize-security-group-ingress \
--group-id sg-12345678 \
--protocol tcp \
--port 22 \
--cidr 10.0.0.0/8
aws ec2 authorize-security-group-ingress \
--group-id sg-12345678 \
--protocol tcp \
--port 80 \
--cidr 0.0.0.0/0
# Launch instance
aws ec2 run-instances \
--image-id ami-0123456789abcdef0 \
--instance-type t3.micro \
--key-name my-key \
--security-group-ids sg-12345678 \
--subnet-id subnet-12345678 \
--associate-public-ip-address \
--tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=web-server}]'
# Wait until running, then get IP
aws ec2 wait instance-running --instance-ids i-1234567890abcdef0
aws ec2 describe-instances \
--instance-ids i-1234567890abcdef0 \
--query 'Reservations[].Instances[].PublicIpAddress' --output text
boto3:
import boto3
ec2 = boto3.resource('ec2')
instances = ec2.create_instances(
ImageId='ami-0123456789abcdef0',
InstanceType='t3.micro',
KeyName='my-key',
SecurityGroupIds=['sg-12345678'],
SubnetId='subnet-12345678',
MinCount=1,
MaxCount=1,
TagSpecifications=[{
'ResourceType': 'instance',
'Tags': [{'Key': 'Name', 'Value': 'web-server'}]
}]
)
instance = instances[0]
instance.wait_until_running()
instance.reload()
print(f"Instance ID: {instance.id}")
print(f"Public IP: {instance.public_ip_address}")
User Data Script
OS package manager note:
- Amazon Linux 2: use
amazon-linux-extras install nginx1 -y—yum install nginxfails because nginx is not in the default AL2 repos- Amazon Linux 2023: use
dnf install -y nginx- Ubuntu: use
apt-get install -y nginx- Amazon Linux 2 / RHEL:
httpd(Apache) is always available viayum install -y httpd
# Amazon Linux 2 — nginx via amazon-linux-extras
aws ec2 run-instances \
--image-id ami-0123456789abcdef0 \
--instance-type t3.micro \
--key-name my-key \
--security-group-ids sg-12345678 \
--subnet-id subnet-12345678 \
--user-data '#!/bin/bash
amazon-linux-extras install nginx1 -y
systemctl start nginx
systemctl enable nginx
'
# Amazon Linux 2 — httpd (Apache, simpler alternative)
# --user-data '#!/bin/bash
# yum install -y httpd
# systemctl start httpd
# systemctl enable httpd
# echo "<h1>Hello from $(hostname -f)</h1>" > /var/www/html/index.html
# '
Attach IAM Role
# Create instance profile
aws iam create-instance-profile \
--instance-profile-name web-server-profile
aws iam add-role-to-instance-profile \
--instance-profile-name web-server-profile \
--role-name web-server-role
# Launch with profile
aws ec2 run-instances \
--image-id ami-0123456789abcdef0 \
--instance-type t3.micro \
--iam-instance-profile Name=web-server-profile \
...
Create AMI from Instance
aws ec2 create-image \
--instance-id i-1234567890abcdef0 \
--name "my-custom-ami-$(date +%Y%m%d)" \
--description "Custom AMI with web server" \
--no-reboot
Auto Scaling Group with Spot (Modern Approach)
The recommended way to use Spot Instances at scale is via Auto Scaling Groups with a mixed-instances policy — not the legacy request-spot-instances API. This supports instance diversification to minimize interruptions.
See instance-management.md for the full setup. Quick example:
# 1. Create launch template with IMDSv2
aws ec2 create-launch-template \
--launch-template-name my-lt \
--launch-template-data '{
"ImageId": "ami-0123456789abcdef0",
"SecurityGroupIds": ["sg-12345678"],
"IamInstanceProfile": {"Name": "my-profile"},
"MetadataOptions": {"HttpTokens": "required", "HttpEndpoint": "enabled"}
}'
# 2. Create ASG with mixed-instances (Spot + On-Demand diversification)
aws autoscaling create-auto-scaling-group \
--auto-scaling-group-name my-asg \
--min-size 0 --max-size 20 --desired-capacity 2 \
--vpc-zone-identifier "subnet-111,subnet-222" \
--mixed-instances-policy '{
"LaunchTemplate": {
"LaunchTemplateSpecification": {"LaunchTemplateName": "my-lt", "Version": "$Latest"},
"Overrides": [
{"InstanceType": "c5.xlarge"},
{"InstanceType": "c5.2xlarge"},
{"InstanceType": "c5a.xlarge"}
]
},
"InstancesDistribution": {
"OnDemandBaseCapacity": 0,
"OnDemandPercentageAboveBaseCapacity": 0,
"SpotAllocationStrategy": "capacity-optimized"
}
}'
EBS Volume Management
# Create volume
aws ec2 create-volume \
--availability-zone us-east-1a \
--size 100 \
--volume-type gp3 \
--iops 3000 \
--throughput 125 \
--encrypted
# Attach to instance
aws ec2 attach-volume \
--volume-id vol-12345678 \
--instance-id i-1234567890abcdef0 \
--device /dev/sdf
# Create snapshot
aws ec2 create-snapshot \
--volume-id vol-12345678 \
--description "Daily backup"
CLI Reference
Instance Management
| Command | Description |
|---|---|
aws ec2 run-instances | Launch instances |
aws ec2 describe-instances | List instances |
aws ec2 start-instances | Start stopped instances |
aws ec2 stop-instances | Stop running instances |
aws ec2 reboot-instances | Reboot instances |
aws ec2 terminate-instances | Terminate instances |
aws ec2 modify-instance-attribute | Modify instance settings |
Security Groups
| Command | Description |
|---|---|
aws ec2 create-security-group | Create security group |
aws ec2 describe-security-groups | List security groups |
aws ec2 authorize-security-group-ingress | Add inbound rule |
aws ec2 revoke-security-group-ingress | Remove inbound rule |
aws ec2 authorize-security-group-egress | Add outbound rule |
AMIs
| Command | Description |
|---|---|
aws ec2 describe-images | List AMIs |
aws ec2 create-image | Create AMI from instance |
aws ec2 copy-image | Copy AMI to another region |
aws ec2 deregister-image | Delete AMI |
EBS Volumes
| Command | Description |
|---|---|
aws ec2 create-volume | Create EBS volume |
aws ec2 attach-volume | Attach to instance |
aws ec2 detach-volume | Detach from instance |
aws ec2 create-snapshot | Create snapshot |
aws ec2 modify-volume | Resize/modify volume |
Best Practices
Security
- Use IAM roles instead of access keys on instances
- Restrict security groups — principle of least privilege
- Use private subnets for backend instances
- Enable IMDSv2 to prevent SSRF attacks
- Encrypt EBS volumes at rest
# Require IMDSv2 on existing instance
aws ec2 modify-instance-metadata-options \
--instance-id i-1234567890abcdef0 \
--http-tokens required \
--http-endpoint enabled
Performance
- Right-size instances — monitor and adjust
- Use EBS-optimized instances
- Choose appropriate EBS volume type (gp3 is the default good choice; io2 for high IOPS)
- Use placement groups for low-latency networking (see instance-management.md)
Cost Optimization
- Use Spot Instances for fault-tolerant workloads (batch, ML training, CI)
- Stop/terminate unused instances
- Use Reserved Instances or Savings Plans for steady-state workloads
- Delete unused EBS volumes and snapshots
- **Consider Graviton (t4g, m7g, c
Content truncated.
When not to use it
- →Managing non-AWS compute resources
Prerequisites
Limitations
- →Limited by AWS service availability and account quotas
- →Requires proper IAM permissions for all operations
How it compares
It provides a structured approach to infrastructure management compared to manual console clicks, ensuring repeatable and automated deployments.
Compared to similar skills
ec2 side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| ec2 (this skill) | 1 | 3mo | Review | Intermediate |
| aws-solution-architect | 20 | 3mo | Review | Advanced |
| terraform-module-library | 7 | 4mo | No flags | Advanced |
| cloud-architect | 6 | 3mo | No flags | Advanced |
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