aws-ecs-fargate
aws-ecs-fargate is an engineering AI skill with a core value of Deploy containers on ECS and Fargate. It
helps developers solve real-world problems in the engineering domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.
Quick Facts
mkdir -p ./skills/aws-ecs-fargate && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/aws-ecs-fargate/SKILL.md -o ./skills/aws-ecs-fargate/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# AWS ECS & Fargate
Run containerized applications on Amazon ECS with Fargate serverless compute or EC2 launch type.
When to Use This Skill
- Deploying Docker containers to AWS without managing servers (Fargate)
- Running microservices with service discovery and load balancing
- Setting up blue/green or rolling deployments for containerized apps
- Configuring auto-scaling for container workloads
- Migrating from docker-compose or Kubernetes to ECS
- Troubleshooting task failures, health check issues, or networking problems
Prerequisites
- AWS CLI v2 installed and configured
- Docker installed for building and pushing images
- IAM permissions: `ecs:*`, `ecr:*`, `elasticloadbalancing:*`, `logs:*`, `iam:PassRole`
- An ECR repository for storing container images
- A VPC with subnets and an ALB (see aws-vpc (`aws-vpc`))
Cluster Setup
# Create an ECS cluster with Container Insights enabled
aws ecs create-cluster \
--cluster-name production \
--capacity-providers FARGATE FARGATE_SPOT \
--default-capacity-provider-strategy '[
{"capacityProvider": "FARGATE", "weight": 1, "base": 2},
{"capacityProvider": "FARGATE_SPOT", "weight": 3}
]' \
--settings '[{"name": "containerInsights", "value": "enabled"}]'
# List clusters
aws ecs list-clusters
# Describe cluster details
aws ecs describe-clusters --clusters production --include STATISTICS ATTACHMENTSPush Image to ECR
# Create ECR repository
aws ecr create-repository \
--repository-name myapp \
--image-scanning-configuration scanOnPush=true \
--encryption-configuration encryptionType=KMS
# Authenticate Docker to ECR
aws ecr get-login-password --region us-east-1 | \
docker login --username AWS --password-stdin 123456789012.dkr.ecr.us-east-1.amazonaws.com
# Build, tag, and push
docker build -t myapp:latest .
docker tag myapp:latest 123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
docker push 123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latestTask Definition
{
"family": "myapp",
"networkMode": "awsvpc",
"requiresCompatibilities": ["FARGATE"],
"cpu": "512",
"memory": "1024",
"executionRoleArn": "arn:aws:iam::123456789012:role/ecsTaskExecutionRole",
"taskRoleArn": "arn:aws:iam::123456789012:role/ecsTaskRole",
"containerDefinitions": [
{
"name": "myapp",
"image": "123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest",
"essential": true,
"portMappings": [
{
"containerPort": 8080,
"protocol": "tcp"
}
],
"environment": [
{"name": "NODE_ENV", "value": "production"},
{"name": "PORT", "value": "8080"}
],
"secrets": [
{
"name": "DB_PASSWORD",
"valueFrom": "arn:aws:secretsmanager:us-east-1:123456789012:secret:myapp/db-password"
},
{
"name": "API_KEY",
"valueFrom": "arn:aws:ssm:us-east-1:123456789012:parameter/myapp/api-key"
}
],
"healthCheck": {
"command": ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"],
"interval": 30,
"timeout": 5,
"retries": 3,
"startPeriod": 60
},
"logConfiguration": {
"logDriver": "awslogs",
"options": {
"awslogs-group": "/ecs/myapp",
"awslogs-region": "us-east-1",
"awslogs-stream-prefix": "ecs",
"awslogs-create-group": "true"
}
},
"ulimits": [
{"name": "nofile", "softLimit": 65536, "hardLimit": 65536}
]
}
]
}# Register the task definition
aws ecs register-task-definition --cli-input-json file://task-definition.json
# List task definition revisions
aws ecs list-task-definitions --family-prefix myapp
# Deregister an old revision
aws ecs deregister-task-definition --task-definition myapp:1Create Service with ALB
# Create the CloudWatch log group first
aws logs create-log-group --log-gr🎯 Best For
- Claude users
- AI users
💡 Use Cases
- Using aws-ecs-fargate in daily workflow
- Automating repetitive engineering tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply aws-ecs-fargate to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install aws-ecs-fargate?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/aws-ecs-fargate/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.