Skip to content
cccskills
FreePublished on GitHub

aws-ec2

Launch and manage Amazon EC2 instances for scalable compute. Configure AMIs, security groups, key pairs, and EBS volumes. Set up auto-scaling groups for high availability and cost optimization across availability zones.

The English summary is being prepared. Showing the original description.

See how to install

Files included (2)

  • SKILL.md6.7 KB
  • _scores.json1.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

AWS EC2

Amazon Elastic Compute Cloud (EC2) provides resizable virtual servers in the cloud. It's the foundational compute service for running applications, from simple web servers to complex distributed systems.

Core Concepts

  • Instance — a virtual server with CPU, memory, storage, and networking
  • AMI — Amazon Machine Image, a template for launching instances
  • Instance type — hardware configuration (t3.micro, m5.xlarge, etc.)
  • Security group — virtual firewall controlling inbound/outbound traffic
  • Key pair — SSH authentication for Linux instances
  • EBS — Elastic Block Store, persistent block storage volumes

Launching Instances

# Launch a basic EC2 instance
aws ec2 run-instances \
  --image-id ami-0c55b159cbfafe1f0 \
  --instance-type t3.micro \
  --key-name my-key-pair \
  --security-group-ids sg-0123456789abcdef0 \
  --subnet-id subnet-0123456789abcdef0 \
  --tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=web-server-1}]' \
  --count 1
# Launch with user data script for bootstrapping
aws ec2 run-instances \
  --image-id ami-0c55b159cbfafe1f0 \
  --instance-type t3.small \
  --key-name my-key-pair \
  --security-group-ids sg-0123456789abcdef0 \
  --user-data file://setup.sh \
  --iam-instance-profile Name=ec2-app-role \
  --tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=app-server},{Key=Env,Value=prod}]'
# setup.sh — bootstrap script for EC2 instance
#!/bin/bash
yum update -y
yum install -y docker
systemctl start docker
systemctl enable docker
docker pull myapp:latest
docker run -d -p 80:8080 myapp:latest

Instance Management

# List running instances with key details
aws ec2 describe-instances \
  --filters "Name=instance-state-name,Values=running" \
  --query 'Reservations[].Instances[].[InstanceId,InstanceType,PublicIpAddress,Tags[?Key==`Name`].Value|[0]]' \
  --output table
# Stop, start, terminate instances
aws ec2 stop-instances --instance-ids i-0123456789abcdef0
aws ec2 start-instances --instance-ids i-0123456789abcdef0
aws ec2 terminate-instances --instance-ids i-0123456789abcdef0
# Resize an instance (must be stopped first)
aws ec2 stop-instances --instance-ids i-0123456789abcdef0
aws ec2 modify-instance-attribute \
  --instance-id i-0123456789abcdef0 \
  --instance-type '{"Value": "t3.large"}'
aws ec2 start-instances --instance-ids i-0123456789abcdef0

Security Groups

# Create a security group for a web server
aws ec2 create-security-group \
  --group-name web-sg \
  --description "Allow HTTP, HTTPS, SSH" \
  --vpc-id vpc-0123456789abcdef0
# Add inbound rules
aws ec2 authorize-security-group-ingress \
  --group-id sg-0123456789abcdef0 \
  --ip-permissions \
    'IpProtocol=tcp,FromPort=80,ToPort=80,IpRanges=[{CidrIp=0.0.0.0/0}]' \
    'IpProtocol=tcp,FromPort=443,ToPort=443,IpRanges=[{CidrIp=0.0.0.0/0}]' \
    'IpProtocol=tcp,FromPort=22,ToPort=22,IpRanges=[{CidrIp=203.0.113.0/24,Description=Office}]'

AMIs

# Create an AMI from a running instance
aws ec2 create-image \
  --instance-id i-0123456789abcdef0 \
  --name "app-server-v1.2.0-$(date +%Y%m%d)" \
  --description "App server with latest patches" \
  --no-reboot
# List your AMIs
aws ec2 describe-images --owners self \
  --query 'Images[*].[ImageId,Name,CreationDate]' --output table
# Deregister old AMI and delete snapshot
aws ec2 deregister-image --image-id ami-0123456789abcdef0
aws ec2 delete-snapshot --snapshot-id snap-0123456789abcdef0

EBS Volumes

# Create and attach an EBS volume
aws ec2 create-volume \
  --size 100 \
  --volume-type gp3 \
  --availability-zone us-east-1a \
  --iops 3000 \
  --throughput 125 \
  --tag-specifications 'ResourceType=volume,Tags=[{Key=Name,Value=data-vol}]'
# Attach volume to instance
aws ec2 attach-volume \
  --volume-id vol-0123456789abcdef0 \
  --instance-id i-0123456789abcdef0 \
  --device /dev/xvdf
# Create a snapshot for backup
aws ec2 create-snapshot \
  --volume-id vol-0123456789abcdef0 \
  --description "Daily backup $(date +%Y-%m-%d)" \
  --tag-specifications 'ResourceType=snapshot,Tags=[{Key=Name,Value=daily-backup}]'

Auto Scaling

# Create a launch template
aws ec2 create-launch-template \
  --launch-template-name app-server-template \
  --launch-template-data '{
    "ImageId": "ami-0c55b159cbfafe1f0",
    "InstanceType": "t3.medium",
    "SecurityGroupIds": ["sg-0123456789abcdef0"],
    "KeyName": "my-key-pair",
    "IamInstanceProfile": {"Name": "ec2-app-role"},
    "UserData": "'$(base64 -w0 setup.sh)'"
  }'
# Create an auto-scaling group
aws autoscaling create-auto-scaling-group \
  --auto-scaling-group-name app-asg \
  --launch-template LaunchTemplateName=app-server-template,Version='$Latest' \
  --min-size 2 \
  --max-size 10 \
  --desired-capacity 2 \
  --vpc-zone-identifier "subnet-aaa,subnet-bbb" \
  --target-group-arns "arn:aws:elasticloadbalancing:us-east-1:123456789:targetgroup/app-tg/abc123" \
  --health-check-type ELB \
  --health-check-grace-period 300
# Create scaling policy based on CPU
aws autoscaling put-scaling-policy \
  --auto-scaling-group-name app-asg \
  --policy-name cpu-scale-out \
  --policy-type TargetTrackingScaling \
  --target-tracking-configuration '{
    "PredefinedMetricSpecification": {"PredefinedMetricType": "ASGAverageCPUUtilization"},
    "TargetValue": 70.0,
    "ScaleInCooldown": 300,
    "ScaleOutCooldown": 60
  }'

Spot Instances

# Request spot instances for cost savings (up to 90% off)
aws ec2 request-spot-instances \
  --instance-count 3 \
  --type "one-time" \
  --launch-specification '{
    "ImageId": "ami-0c55b159cbfafe1f0",
    "InstanceType": "c5.xlarge",
    "SecurityGroupIds": ["sg-0123456789abcdef0"],
    "SubnetId": "subnet-0123456789abcdef0"
  }'

Best Practices

  • Use launch templates over launch configurations for versioning
  • Place instances in private subnets; use a bastion host or SSM for access
  • Enable detailed monitoring for production workloads
  • Use auto-scaling with target tracking for hands-off scaling
  • Tag everything for cost allocation and resource management
  • Use spot instances for fault-tolerant, flexible workloads
  • Rotate AMIs regularly with latest security patches

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

3proxy

Free

3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

Builds Agent2Agent (A2A) servers and clients, the open protocol (originally from Google, now under the Linux Foundation) that lets AI agents from different frameworks call each other. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a protocol, a2a server, a2a client, agent card, agent interoperability, agent collaboration, multi-agent, agent discovery, a2a sdk, a2a task.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

Plans a controlled experiment (A/B test) so its result can be trusted: writes the hypothesis, picks one primary metric and the guardrails, computes sample size and run time, specifies how visitors are assigned and when exposure is logged, and reads out the result with a confidence interval. Use when someone says "set up an A/B test", "split test this page", "how many visitors do I need", "how long should the experiment run", "is this result significant", "can I stop the test early", or wants to test a headline, price, layout or onboarding change against the current version.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

ably

Free

Ably is a hosted realtime messaging service: clients publish and subscribe to named channels over WebSockets, see who is present, replay message history, and resume after a dropped connection. Use when a user asks to "add realtime updates", "push live notifications to the browser", "show who is online", "add a chat room with typing indicators", "publish from a serverless function", or "authenticate Ably clients without exposing the API key". Covers the ably 2.x JavaScript SDK (Realtime and REST), JWT token authentication, presence, history and rewind, batch publishing, and the @ably/chat 1.x SDK.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

See all skills by TerminalSkills

Report a problem with this skill