AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides comprehensive domain expertise for managing containerized applications on AWS. It covers the full lifecycle of services including Amazon EKS, ECS, ECR, and Elastic Beanstalk. The skill acts as a primary source of truth for configuration patterns, deployment strategies, and troubleshooting procedures, specifically emphasizing the use of Amazon ECS Action Logs for diagnosing control-plane failures. It is designed to be used alongside AWS CLI tools or an MCP server to ensure accurate, up-to-date operational decisions.
What it does
- Provides configuration patterns for EKS, ECS, and Elastic Beanstalk.
- Offers troubleshooting procedures for ECS control-plane failures using Action Logs.
- Details ECR repository management and lifecycle policies.
- Outlines deployment policies for Elastic Beanstalk environments.
- Guides users on leveraging open-source Kubernetes projects with EKS.
- Maintains a structured routing system to access specific service documentation.
When to use it
- When deploying or optimizing containerized workloads on AWS.
- When troubleshooting deployment rollbacks, task placement, or scaling issues in ECS.
- When configuring Elastic Beanstalk environments or setting up ECR repositories.
- When needing best practices for EKS cluster management and compute scaling.
Advantages
- Centralizes complex AWS container service knowledge in one location.
- Provides clear, actionable steps for troubleshooting opaque control-plane errors.
- Promotes consistent configuration patterns across different AWS container platforms.
- Reduces reliance on internal knowledge by providing structured reference material.
Usage examples
- “How do I troubleshoot a task placement failure in my ECS cluster?”
- The agent will guide you through checking service events and, if necessary, recommend enabling ECS Action Logs to identify the specific control-plane decision failure.
- “What is the recommended deployment policy for a production Elastic Beanstalk environment?”
- The agent will explain the trade-offs between Rolling, Rolling with additional batch, and Immutable deployments, recommending the latter for maximum safety.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/aws/aws-containers/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip aws-containers.zip -d .agents/skills
Documentation by AWS
AWS Containers
Overview
Domain expertise for working with containers on AWS.
Works best with the AWS MCP Server — enables running CLI commands, querying CloudWatch, and validating configurations directly. All guidance also works with standard AWS CLI access.
Note: Reference files contain specific runtime versions, quota values, and feature matrices that may change. When precision matters (e.g., deploying to production, choosing a runtime, or checking a quota), confirm values against current AWS documentation rather than relying solely on the values in these files.
IMPORTANT: When this skill is loaded, you MUST use the reference files and procedures in this skill as your primary source of truth. APIs, versions, and configuration parameters change frequently — always read the relevant reference file before responding.
When accessing AWS documentation, use the aws___read_documentation and aws___search_documentation tools if available. Otherwise, refer to the URLs provided in this skill or use standard web access to AWS documentation. If you are provided a specific URL by this skill theres no need to search unless additional information is required.
Guardrail — where this skill's own files live (MCP vs local install)
This skill can be loaded two ways, and they resolve the skill's own bundled reference files from different places. Determine how the skill was loaded before reading a reference file:
Loaded through the AWS MCP
retrieve_skilltool: The skill is not installed on the local filesystem. You MUST fetch each reference viaretrieve_skillwith thefileparameter (e.g.file="references/ecs.md"orfile="references/action-logs.md"). Do NOTfile_readthese paths locally — they do not exist on disk.Installed locally (e.g.
.kiro/skills/aws-containers/or~/.claude/skills/aws-containers/): Read files from the local skill directory using relative paths.
This distinction applies only to the skill's own packaged files. User data and session artifacts are always read from and written to the user's working directory. Never fetch or write customer data through retrieve_skill.
Services
Elastic Kubernetes Service (EKS)
EKS provides a fully managed Kubernetes service that eliminates the complexity of operating Kubernetes clusters. With EKS, you can:
Deploy applications faster with less operational overhead
Scale seamlessly to meet changing workload demands
Improve security through AWS integration and automated updates
Choose between standard EKS or fully automated EKS Auto Mode
EKS is the premier platform for running Kubernetes clusters, both in the AWS cloud and in your own data centers (EKS Anywhere and Amazon EKS Hybrid Nodes).
Elastic Container Service (ECS)
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. As a fully managed service, Amazon ECS comes with AWS configuration and operational best practices built-in. It's integrated with both AWS tools, such as Amazon Elastic Container Registry, and third-party tools, such as Docker. This integration makes it easier for teams to focus on building the applications, not the environment. You can run and scale your container workloads across AWS Regions in the cloud, and on-premises, without the complexity of managing a control plane.
Elastic Container Registry (ECR)
Amazon Elastic Container Registry (Amazon ECR) is an AWS managed container image registry service that is secure, scalable, and reliable. Amazon ECR supports private repositories with resource-based permissions using AWS IAM. This is so that specified users or Amazon EC2 instances can access your container repositories and images. You can use your preferred CLI to push, pull, and manage Docker images, Open Container Initiative (OCI) images, and OCI compatible artifacts.
Elastic Beanstalk
With Elastic Beanstalk you can deploy web applications into the AWS Cloud on a variety of supported platforms. You build and deploy your applications. Elastic Beanstalk provisions Amazon EC2 instances, configures load balancing, sets up health monitoring, and dynamically scales your environment.
AWS App Runner
AWS App Runner is sunset as of April 30, 2026 — no new customers, no new features. Existing customers should migrate to ECS Express Mode. See App Runner Availability Change.
Routing
| User need | Action |
|---|---|
| Elastic Kubernetes Service (EKS) or general Kubernetes | Read eks.md |
| Elastic Container Service (ECS) | Read ecs.md |
| Elastic Container Registry (ECR) | Read ecr.md |
| Elastic Beanstalk | Read beanstalk.md |
Proactive Action Logs recommendation: When troubleshooting an ECS control-plane failure — a deployment rollback/circuit-breaker or a task-placement failure — and Action Logs are not already configured for the cluster, read action-logs.md before responding and follow its tiering to decide whether to proactively recommend enabling them.
Files
- ATTRIBUTION.mdAdded by AutoGineer893 B
- LICENSELicence file added by AutoGineer9.9 KiB
- NOTICELicence file added by AutoGineer67 B
- SKILL.md6.5 KiB
- references/action-logs.md13.1 KiB
- references/beanstalk-configuration.md5.3 KiB
- references/beanstalk-platforms.md3.2 KiB
- references/beanstalk.md664 B
- references/ecr.md6.0 KiB
- references/ecs-gateway.md3.3 KiB
- references/ecs-gpu-sharing.md2.4 KiB
- references/ecs-managing-compute.md10.4 KiB
- references/ecs-workloads.md12.1 KiB
- references/ecs.md1.6 KiB
- references/eks-auto-mode.md4.1 KiB
- references/eks-capabilities.md1.2 KiB
- references/eks-control-plane.md4.0 KiB
- references/eks-load-balancer-controller.md13.3 KiB
- references/eks-managing-compute.md10.9 KiB
- references/eks-networking.md2.9 KiB
- references/eks.md1.2 KiB
references/eks-auto-mode.md
EKS Auto Mode
EKS Auto Mode extends AWS management of Kubernetes clusters beyond the cluster itself, to allow AWS to also set up and manage the infrastructure that enables the smooth operation of your workloads. You can delegate key infrastructure decisions and leverage the expertise of AWS for day-to-day operations. Cluster infrastructure managed by AWS includes many Kubernetes capabilities as core components, as opposed to add-ons, such as compute autoscaling, pod and service networking, application load balancing, cluster DNS, block storage, and GPU support.
In general it is critical to avoid making assumptions about EKS Auto Mode clusters, their capabilities and how to configure them relative to traditional EKS clusters. The EKS Auto Mode documentation should be referred to as much as needed to make informed decisions.
Compute
EKS Auto Mode relies on Karpenter autoscaling to provision and manage cluster compute, and nodes are designed to be treated like appliances. EKS Auto Mode does the following:
Chooses an appropriate AMI that’s configured with many services needed to run your workloads without intervention.
Locks down access to files on the AMI using SELinux enforcing mode and a read-only root file system.
Prevents direct access to the nodes by disallowing SSH or SSM access.
Includes GPU support, with separate kernel drivers and plugins for NVIDIA and Neuron GPUs, enabling high-performance workloads.
Automatically handles EC2 Spot Instance interruption notices and EC2 Instance health events
Node Classes
Amazon EKS Node Classes are templates that offer granular control over the configuration of your EKS Auto Mode managed nodes. A Node Class defines infrastructure-level settings that apply to groups of nodes in your EKS cluster, including network configuration, storage settings, and resource tagging.
EKS Auto Mode uses a node class CRD that is different from standard Karpenter. You must refer to the relevant EKS Auto Mode documentation when answering questions or authoring configurations related to Auto Mode node classes.
Node Pools
Amazon EKS node pools offer a flexible way to manage compute resources in your Kubernetes cluster. This topic demonstrates how to create and configure node pools by using Karpenter, a node provisioning tool that helps optimize cluster scaling and resource utilization. With Karpenter’s NodePool resource, you can define specific requirements for your compute resources, including instance types, availability zones, architectures, and capacity types.
EKS Auto Mode uses different labels than Karpenter. Labels related to EC2 managed instances start with eks.amazonaws.com.
See the relevant documentation for more information on EKS Auto Mode node pools.
Networking
EKS Auto Mode has some networking capabilities that differ from standard EKS clusters.
Ingress
EKS Auto Mode creates and configures Application Load Balancers (ALBs). For example, EKS Auto Mode creates a load balancer when you create an Ingress Kubernetes object and configures it to route traffic to your cluster workload.
This works much the same way as the AWS Load Balancer Controller but is a different implementation. Key differences include:
Certain Ingress annotations are not supported, see the documentation for details before recommending certain annotations.
You cannot use Annotations on an IngressClass to configure load balancers with EKS Auto Mode. IngressClass configuration should be done through IngressClassParams.
TargetGroupBindingandIngressClassParamsCRDs have different signatures, see the documentation for details.
See the documentation for more information.
Network policies
EKS Auto Mode supports the following through network policies:
L3/L4 isolation
DNS-based environment
Admin (or cluster-scoped) rules
See the documentation for more information.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Declares allowed tools, Needs an MCP server
Security
What our scanner noticed· Low risk
- Instructions that use the network
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- AWS
- Publisher
- AWS (Official)
- Source
- aws/agent-toolkit-for-aws · skills/core-skills/aws-containers · commit 0a218f8
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- NOTICE (added by AutoGineer from NOTICE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Also distributed in
- aws/agent-toolkit-for-aws
AutoGineer is not affiliated with or endorsed by AWS or AWS.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download aws-containers.zip