Agent skill

AWS Ecs Fargate

by sickn33 in sickn33/agentic-awesome-skills

Deploy containers on ECS and Fargate. An agent skill from sickn33/agentic-awesome-skills.

MITAuto-check passedDevOps & Cloud

Install AWS Ecs Fargate

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill aws-ecs-fargate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills aws-ecs-fargate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aws-ecs-fargate .claude/skills/aws-ecs-fargate && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aws-ecs-fargate
GitHub stars
47k
Used in
2 other repos
Token cost
~3k tokens
SKILL.md length
311 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Deploy containers on ECS and Fargate. An agent skill from sickn33/agentic-awesome-skills.

  • Running containerized workloads on AWS
  • SKILL.md covers When to Use This Skill, Prerequisites, Cluster Setup and Push Image to ECR, plus 9 more sections
  • Calls aws and docker; needs DB_PASSWORD and API_KEY
  • Tasks that involve Cloud networking

What it does

AWS Ecs Fargate is an agent skill from sickn33/agentic-awesome-skills. Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.

It sits in DevOps & Cloud, covering Cloud networking, Deployment and Containers. It works with Amazon Web Services and Docker. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Running containerized workloads on AWS
  • Tasks that involve Cloud networking
  • Tasks that involve Deployment

Example prompts

  • “/aws-ecs-fargate”

Requirements

  • Docker
  • A credential in API_KEY
  • Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.

What it can do on your machine

Read from SKILL.md and the folder at commit 1c7bdea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • aws
    • docker

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use aws and docker, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DB_PASSWORD
    • API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.

    From compatibility in the SKILL.md frontmatter.

Context cost

AWS Ecs Fargate loads about 3k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 311 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1c7bdea, republished under its MIT licence (© sickn33). 311 words, ~2,962 tokens.

Download SKILL.mdSave it as .claude/skills/aws-ecs-fargate/SKILL.md (or your agent's skills folder).
name
aws-ecs-fargate
description
Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.
compatibility
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
category
devops
risk
critical
source
https://github.com/BagelHole/DevOps-Security-Agent-Skills
source_repo
BagelHole/DevOps-Security-Agent-Skills
source_type
community
date_added
2026-09-20
license
MIT
license_source
https://github.com/BagelHole/DevOps-Security-Agent-Skills/blob/main/LICENSE
metadata.author
devops-skills
metadata.version
1.0

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

bash
# 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 ATTACHMENTS

Push Image to ECR

bash
# 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:latest

Task Definition

json
{
  "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}
      ]
    }
  ]
}
bash
# 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:1

Create Service with ALB

bash
# Create the CloudWatch log group first
aws logs create-log-group --log-group-name /ecs/myapp
aws logs put-retention-policy --log-group-name /ecs/myapp --retention-in-days 30

# Create ECS service with load balancer
aws ecs create-service \
  --cluster production \
  --service-name myapp \
  --task-definition myapp:2 \
  --desired-count 3 \
  --launch-type FARGATE \
  --platform-version LATEST \
  --deployment-configuration '{
    "deploymentCircuitBreaker": {"enable": true, "rollback": true},
    "maximumPercent": 200,
    "minimumHealthyPercent": 100
  }' \
  --network-configuration '{
    "awsvpcConfiguration": {
      "subnets": ["subnet-private-a", "subnet-private-b"],
      "securityGroups": ["sg-app"],
      "assignPublicIp": "DISABLED"
    }
  }' \
  --load-balancers '[{
    "targetGroupArn": "arn:aws:elasticloadbalancing:us-east-1:123456789012:targetgroup/myapp-tg/abc123",
    "containerName": "myapp",
    "containerPort": 8080
  }]' \
  --service-registries '[{
    "registryArn": "arn:aws:servicediscovery:us-east-1:123456789012:service/srv-abc123"
  }]' \
  --enable-execute-command \
  --propagate-tags SERVICE

Deployments

bash
# Rolling update - update task definition and force new deployment
aws ecs update-service \
  --cluster production \
  --service myapp \
  --task-definition myapp:3 \
  --force-new-deployment

# Watch deployment progress
aws ecs describe-services \
  --cluster production \
  --services myapp \
  --query "services[0].deployments[].{Status:status,Running:runningCount,Desired:desiredCount,TaskDef:taskDefinition}" \
  --output table

# Wait for service to stabilize
aws ecs wait services-stable --cluster production --services myapp

# Exec into a running container for debugging
aws ecs execute-command \
  --cluster production \
  --task arn:aws:ecs:us-east-1:123456789012:task/production/abc123 \
  --container myapp \
  --interactive \
  --command "/bin/sh"

Auto Scaling

bash
# Register ECS service as a scalable target
aws application-autoscaling register-scalable-target \
  --service-namespace ecs \
  --resource-id service/production/myapp \
  --scalable-dimension ecs:service:DesiredCount \
  --min-capacity 2 \
  --max-capacity 20

# Target tracking policy - scale on CPU utilization
aws application-autoscaling put-scaling-policy \
  --service-namespace ecs \
  --resource-id service/production/myapp \
  --scalable-dimension ecs:service:DesiredCount \
  --policy-name cpu-target-tracking \
  --policy-type TargetTrackingScaling \
  --target-tracking-scaling-policy-configuration '{
    "PredefinedMetricSpecification": {
      "PredefinedMetricType": "ECSServiceAverageCPUUtilization"
    },
    "TargetValue": 70.0,
    "ScaleInCooldown": 300,
    "ScaleOutCooldown": 60
  }'

# Scale on request count per target (ALB)
aws application-autoscaling put-scaling-policy \
  --service-namespace ecs \
  --resource-id service/production/myapp \
  --scalable-dimension ecs:service:DesiredCount \
  --policy-name request-count-tracking \
  --policy-type TargetTrackingScaling \
  --target-tracking-scaling-policy-configuration '{
    "PredefinedMetricSpecification": {
      "PredefinedMetricType": "ALBRequestCountPerTarget",
      "ResourceLabel": "app/my-alb/abc123/targetgroup/myapp-tg/def456"
    },
    "TargetValue": 1000.0,
    "ScaleInCooldown": 300,
    "ScaleOutCooldown": 60
  }'

Terraform ECS Fargate Service

hcl
resource "aws_ecs_cluster" "main" {
  name = "production"

  setting {
    name  = "containerInsights"
    value = "enabled"
  }
}

resource "aws_ecs_task_definition" "myapp" {
  family                   = "myapp"
  network_mode             = "awsvpc"
  requires_compatibilities = ["FARGATE"]
  cpu                      = 512
  memory                   = 1024
  execution_role_arn       = aws_iam_role.ecs_execution.arn
  task_role_arn            = aws_iam_role.ecs_task.arn

  container_definitions = jsonencode([{
    name      = "myapp"
    image     = "${aws_ecr_repository.myapp.repository_url}:latest"
    essential = true

    portMappings = [{
      containerPort = 8080
      protocol      = "tcp"
    }]

    logConfiguration = {
      logDriver = "awslogs"
      options = {
        awslogs-group         = aws_cloudwatch_log_group.myapp.name
        awslogs-region        = "us-east-1"
        awslogs-stream-prefix = "ecs"
      }
    }

    healthCheck = {
      command     = ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
      interval    = 30
      timeout     = 5
      retries     = 3
      startPeriod = 60
    }
  }])
}

resource "aws_ecs_service" "myapp" {
  name            = "myapp"
  cluster         = aws_ecs_cluster.main.id
  task_definition = aws_ecs_task_definition.myapp.arn
  desired_count   = 3
  launch_type     = "FARGATE"

  deployment_circuit_breaker {
    enable   = true
    rollback = true
  }

  network_configuration {
    subnets          = aws_subnet.private[*].id
    security_groups  = [aws_security_group.app.id]
    assign_public_ip = false
  }

  load_balancer {
    target_group_arn = aws_lb_target_group.myapp.arn
    container_name   = "myapp"
    container_port   = 8080
  }

  enable_execute_command = true
  propagate_tags         = "SERVICE"
}

Viewing Logs

bash
# Tail logs from CloudWatch
aws logs tail /ecs/myapp --follow --since 1h

# Get logs for a specific task
aws logs get-log-events \
  --log-group-name /ecs/myapp \
  --log-stream-name "ecs/myapp/abc123def456" \
  --start-from-head

# Filter logs for errors
aws logs filter-log-events \
  --log-group-name /ecs/myapp \
  --filter-pattern "ERROR" \
  --start-time $(date -d '1 hour ago' +%s000)

Troubleshooting

ProblemCauseFix
Task stuck in PROVISIONINGNo available capacity in subnetsCheck subnet availability and capacity provider
Task fails immediatelyContainer crashes on startupCheck CloudWatch logs; run image locally first
Health check failingApp not ready within startPeriodIncrease startPeriod; verify health endpoint
Cannot pull ECR imageExecution role missing ECR permissionsAttach AmazonECSTaskExecutionRolePolicy
Service stuck at 0 runningSecurity group blocks ALB health checkAllow ALB SG to reach container port
Exec command failsSSM agent not initializedEnsure enableExecuteCommand is true; check task role
High Fargate costsNot using Fargate Spot for tolerant workloadsAdd FARGATE_SPOT capacity provider
Container OOM killedMemory limit too lowIncrease memory in task definition; check for leaks
Slow deploymentsminimumHealthyPercent too highSet to 50% for faster rolling updates
  • docker-management (docker-management) - Container fundamentals
  • container-registries (container-registries) - ECR and image management
  • aws-vpc (aws-vpc) - Networking for ECS tasks
  • aws-iam (aws-iam) - Task and execution roles
  • terraform-aws (terraform-aws) - Infrastructure as Code deployment

Limitations

  • Infrastructure commands can disrupt services: confirm target host/scope and have backups/snapshots before mutating state.
  • Docs-only import: upstream scripts and templates not bundled.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/aws-ecs-fargate of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1c7bdea

Used in 2 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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AWS Ecs Fargate compared with similar skills
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Monstermq Broker Configvogler75/monster-mq143—~2.2kAutomated safety check: PassGPL-3.0
Aspire DeploymentCommunityToolkit/Aspire627—~4.5kAutomated safety check: NotesMIT
Ec2 Deployadam-s/intercept189—~1.9kAutomated safety check: WarnMIT
Frontmcp Deploymentagentfront/frontmcp146—~9.2kAutomated safety check: NotesApache-2.0

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Categories

Questions about AWS Ecs Fargate

What does AWS Ecs Fargate do?

Deploy containers on ECS and Fargate. An agent skill from sickn33/agentic-awesome-skills. AWS Ecs Fargate is an agent skill from sickn33/agentic-awesome-skills. Deploy containers on ECS and Fargate.

When should I use AWS Ecs Fargate?

AWS Ecs Fargate fits situations like: running containerized workloads on AWS; tasks that involve Cloud networking; tasks that involve Deployment.

How do I install AWS Ecs Fargate in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill aws-ecs-fargate -a claude-code`. Or copy the skill folder (skills/aws-ecs-fargate in sickn33/agentic-awesome-skills) into .claude/skills/aws-ecs-fargate in your project. Claude Code loads it when a task matches its description.

How do I install AWS Ecs Fargate in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill aws-ecs-fargate -a codex`. Or copy the skill folder (skills/aws-ecs-fargate in sickn33/agentic-awesome-skills) into .agents/skills/aws-ecs-fargate in your project. Codex loads it when a task matches its description.

Can I use AWS Ecs Fargate in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill aws-ecs-fargate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-ecs-fargate, .gemini/skills/aws-ecs-fargate, .github/skills/aws-ecs-fargate and .opencode/skills/aws-ecs-fargate in your project.

What does AWS Ecs Fargate need to run?

Going by SKILL.md and its folder, AWS Ecs Fargate needs the command-line tools its instructions call (aws and docker) and credentials named DB_PASSWORD and API_KEY. Our summary lists: Docker; A credential in API_KEY. Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..

Does AWS Ecs Fargate access the network?

SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is AWS Ecs Fargate safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does AWS Ecs Fargate use?

AWS Ecs Fargate is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AWS Ecs Fargate use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to AWS Ecs Fargate?

Skills that share tags, products or a category with AWS Ecs Fargate: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Monstermq Broker Config (vogler75/monster-mq, 143 stars), Aspire Deployment (CommunityToolkit/Aspire, 627 stars) and Ec2 Deploy (adam-s/intercept, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AWS Ecs Fargate?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,443 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 10, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.