本文へ移動
cccskills
無料GitHub で公開

aws-containers

Builds and deploys containerized workloads on Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Fargate, and ECR (Elastic Container Registry). Covers general EKS knowledge, Karpenter, AWS Load Balancer Controller and leveraging various open source Kubernetes projects with EKS. Covers general ECS knowledge, task definitions, Fargate services, ECS Exec, ECS Express Mode and ECS Managed Instances. Covers general Elastic Beanstalk knowledge, Elastic Beanstalk configuration and platforms supported by Elastic Beanstalk. Covers general ECR knowledge, ECR repository setup and lifecycle policies. Includes recommending, enabling, and reading Amazon ECS Action Logs to troubleshoot control-plane failures (deployment rollback/circuit-breaker, task placement, scaling, task replacement). Applies when deploying, debugging, or optimizing containers on AWS. Should be used instead of relying on internal knowledge for these services.

インストール方法を見る

含まれるファイル(16)

  • SKILL.md6.5 KB
  • references/action-logs.md13.1 KB
  • references/beanstalk-configuration.md5.3 KB
  • references/beanstalk-platforms.md3.2 KB
  • references/beanstalk.md664 B
  • references/ecr.md6.0 KB
  • references/ecs-managing-compute.md10.4 KB
  • references/ecs-workloads.md12.1 KB
  • references/ecs.md1.2 KB
  • references/eks-auto-mode.md4.1 KB
  • references/eks-capabilities.md1.2 KB
  • references/eks-control-plane.md4.0 KB
  • references/eks-load-balancer-controller.md13.3 KB
  • references/eks-managing-compute.md10.9 KB
  • references/eks-networking.md2.9 KB
  • references/eks.md1.2 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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_skill tool: The skill is not installed on the local filesystem. You MUST fetch each reference via retrieve_skill with the file parameter (e.g. file="references/ecs.md" or file="references/action-logs.md"). Do NOT file_read these 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 needAction
Elastic Kubernetes Service (EKS) or general KubernetesRead eks.md
Elastic Container Service (ECS)Read ecs.md
Elastic Container Registry (ECR)Read ecr.md
Elastic BeanstalkRead 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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow. Triggers on: which runtime for my agent, AgentCore vs ECS vs EKS vs Lambda, AgentCore vs Lambda MicroVMs, deploy an AI agent on AWS, agent architecture on AWS, I have an agent idea what do I build, move/migrate my agents to AWS, agent migration plan, add AgentCore services (memory, gateway, identity, policy, observability) to an agent already on AWS, Temporal on AWS (migrate/run Temporal workers on AWS, a service orchestrated by Temporal, Temporal Cloud vs self-hosted). Temporal Workflow code is never rewritten into Step Functions. Requires at least one agentic component — a purely non-agent system (plain services, batch jobs, HTTP endpoints, non-agent Temporal Activities) is out of scope, redirected to gcp-to-aws / heroku-to-aws / llm-to-bedrock. Not for: compute/data migration with no AI agent; pure LLM SDK rewrite (use llm-to-bedrock); per-model pricing.

日本語の概要は準備中です。原文の説明を表示しています。

aws/agent-toolkit-for-aws2,8432026年10月10日 更新

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.

日本語の概要は準備中です。原文の説明を表示しています。

aws/agent-toolkit-for-aws2,8432026年10月10日 更新

Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: "connect to API", "add gateway", "connect to MCP server", "Lambda tools", "OpenAPI", "gateway target", "Cedar policy", "restrict tools", "policy engine", "gateway auth error", "store API key", "outbound credential", "env var API key", "API key None after deploy", "credential not available after deploy", "should this be a gateway target", "give my agent tools", "add tools to agent". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.

日本語の概要は準備中です。原文の説明を表示しています。

aws/agent-toolkit-for-aws2,8432026年10月10日 更新

Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes. Also checks prerequisites when the CLI itself isn't working. Triggers on: "agent not working", "wrong answer", "agent error", "tool call failing", "debug agent", "check logs", "read traces", "broken", "500 error", "424 error", "model access denied", "command not found", "stuck in DELETING", "maxVms exceeded", "cold start diagnosis", "cold start slow", "agentcore create error", "create failed", "exit code 7", "connection refused local dev". Not for deploy failures — use agents-deploy. Not for performance tuning without errors — use agents-optimize. Not for VPC configuration — use agents-build. Not for observability setup or missing logs — use agents-optimize.

日本語の概要は準備中です。原文の説明を表示しています。

aws/agent-toolkit-for-aws2,8432026年10月10日 更新

Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK/IAM/quota error diagnosis, version management, rollback, and canary deployments. Triggers on: "deploy my agent", "agentcore deploy", "deploy failed", "CDK error", "rollback", "canary deploy", "pin version", "redeploy", "deploy stuck". Not for production hardening — use agents-harden. Not for adding capabilities before deploy — use agents-build or agents-connect. Not for VPC configuration errors — use agents-build.

日本語の概要は準備中です。原文の説明を表示しています。

aws/agent-toolkit-for-aws2,8432026年10月10日 更新

Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: "build an agent", "create an agent", "get started", "new project", "agentcore create", "which framework", "Strands vs LangGraph", "hello world agent", "first agent", "create MCP server", "host MCP server", "agentcore dev", "dev server", "what port", "local development". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.

日本語の概要は準備中です。原文の説明を表示しています。

aws/agent-toolkit-for-aws2,8432026年10月10日 更新

aws のスキルをすべて見る

このスキルの問題を報告する