Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models. Triggers on keywords like AgentCore, Bedrock Agent, AWS agent, Lambda tools.
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Deploys and hosts full-stack web applications on AWS Amplify with SSR support, CI/CD, and backend services. Use when deploying Next.js apps to AWS, setting up Amplify hosting, or configuring Amplify backends.
aws-architecture-design
Expert guidance for deploying and managing applications across AWS and Azure cloud platforms. Use when deploying to AWS, Azure, managing cloud infrastructure, or implementing multi-cloud strategies.
Expert knowledge for deploying, managing, and troubleshooting AWS Elastic Beanstalk applications with production best practices
AWS boto3 사용 패턴. Paginator, 세션 관리, CloudWatch 배치 메트릭 등.
AWS Cloud Development Kit infrastructure as code patterns and best practices for serverless, containers, and cloud-native applications
Comprehensive guide to AWS cloud architecture covering compute, storage, databases, networking, security, serverless, and cost optimization with production-ready patterns
AWS cloud operations for CloudWatch, S3, Lambda, EC2, and IAM
Comprehensive AWS cloud services skill covering S3, Lambda, DynamoDB, EC2, RDS, IAM, CloudFormation, and enterprise cloud architecture patterns with AWS SDK
Provides comprehensive AWS (Amazon Web Services) guidance including EC2, S3, RDS, Lambda, ECS/EKS, CloudFormation, API Gateway, CloudFront, cloud migration from on-premise/GCP/Azure, security configuration (IAM, KMS, Security Hub), cost optimization (Savings Plans, Reserved Instances), and multi-region deployment. Produces infrastructure as code (Terraform/CloudFormation/CDK), deployment scripts, security configurations, and architecture designs. Use when deploying to AWS, designing AWS infrastructure, migrating to AWS, configuring EC2 instances, setting up S3 buckets, managing RDS databases, deploying containers on ECS/EKS, building serverless applications, or when users mention AWS, Amazon Cloud, EC2, S3, Lambda, EKS, CloudFormation, CDK, or AWS services.
AWS CloudFormation patterns for ECS clusters, services, and task definitions. Use when creating ECS infrastructure with CloudFormation, configuring container definitions, scaling policies, service discovery, load balancing integration, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and blue/green deployments with CodeDeploy.
AWS CloudFormation patterns for Amazon ElastiCache. Use when creating ElastiCache clusters (Redis, Memcached), replication groups, parameter groups, subnet groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references for distributed caching infrastructure.
AWS CloudFormation patterns for IAM users, roles, policies, and managed policies. Use when creating IAM resources with CloudFormation, implementing least privilege access, configuring cross-account access, setting up identity centers, managing permissions boundaries, and organizing template structure with Parameters, Outputs, Mappings, Conditions for secure infrastructure deployments.
AWS CloudFormation patterns for Lambda functions, layers, event sources, and integrations. Use when creating Lambda functions with CloudFormation, configuring API Gateway, Step Functions, EventBridge, SQS, SNS triggers, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and best practices for cold start optimization.
AWS CloudFormation patterns for infrastructure security, secrets management, encryption, and secure data handling. Use when creating secure CloudFormation templates with AWS Secrets Manager, KMS encryption, secure parameters, IAM policies, VPC security groups, TLS/SSL certificates, and encrypted traffic configurations. Covers template structure, parameter best practices, cross-stack references, and defense-in-depth strategies.
AWS CloudFormation patterns for VPC infrastructure. Use when creating VPCs, Subnets, Route Tables, NAT Gateways, Internet Gateways, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
Infrastructure as Code with CloudFormation templates and stacks
Distribute content globally using CloudFront with caching, security headers, WAF integration, and origin configuration. Use for low-latency content delivery.
Implement monitoring, alerting, and observability with CloudWatch
Build automated CI/CD pipelines with CodePipeline and CodeBuild
AWS cost optimization - EC2 Reserved Instances, Savings Plans, Spot, Lambda optimization, Cost Explorer, Trusted Advisor.
Optimize AWS costs through resource rightsizing and savings strategies
Analyze AWS spending across accounts, identify unused resources, recommend Reserved Instances, and generate cost optimization reports.
AWS Cost Explorer - View and analyze AWS spending across accounts and services
Deploys AWS infrastructure with research-first approach. Uses AWS MCP tools for documentation, regional availability, and resource management. ALWAYS searches AWS documentation before writing code, explains services and abbreviations, considers alternatives, maintains organized aws/ folder, and CRITICALLY offers to destroy resources after testing. Use PROACTIVELY for any AWS deployment, Terraform, ECS, Fargate, Lambda, S3, RDS, or cloud infrastructure tasks. MUST BE USED for prototype/learning projects to avoid unexpected costs. (project)
Generate architecture diagrams from `aws_infrastructure.json` using the Python `diagrams` library.
Explore an AWS account and collect comprehensive information about its infrastructure.
Launch, configure, and manage EC2 instances with best practices
Launch and configure EC2 instances with security groups, IAM roles, key pairs, AMIs, and auto-scaling. Use for virtual servers and managed infrastructure.
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Deploy and manage containerized applications on ECS/Fargate
Amazon Elastic Kubernetes Service (EKS) for running Kubernetes on AWS. Use for container orchestration, deploying applications, managing clusters, and Kubernetes workloads on AWS.
Expert-level AWS cloud architecture, services, security, cost optimization, and best practices
Configure AWS IAM users, roles, policies, and identity federation
Design and implement AWS infrastructure using IaC (CloudFormation, CDK, Terraform) with boto3 expertise and Well-Architected Framework guidance.
AWS infrastructure as code with Terraform and CDK, including VPC design, EKS cluster setup, S3 bucket configuration, RDS databases, DynamoDB tables, Lambda functions, API Gateway, CloudWatch monitoring, IAM policies, security groups, cost optimization, multi-account strategies, CI/CD with CodePipeline, infrastructure testing, disaster recovery, compliance automation, and cloud-native best practices for production workloads.
Build optimized serverless functions with Lambda
Build serverless applications with AWS Lambda and TypeScript. Covers handler patterns, API Gateway integration, DynamoDB operations, SQS/S3/DynamoDB Streams event sources, SAM templates, and CDK infrastructure. Use for serverless APIs, event-driven architectures, and AWS backend development.
AWS cloud architecture patterns and best practices. Use when designing, deploying, or reviewing AWS infrastructure including EC2, ECS, EKS, Lambda, RDS, S3, IAM, and VPC.
Debug AWS resource issues, check Lambda logs, and monitor deployed services. Use when investigating production issues, checking CloudWatch logs, or debugging deployment failures.
AWS infrastructure patterns and best practices for Terraform. Provides VPC, IAM, S3, and security group scaffolds. Use when developing AWS infrastructure.
AWS Prescriptive Guidance for best practices and architectural patterns. Use for AWS architecture recommendations, SageMaker AI endpoints guidance, deployment patterns, and AWS solution architectures.
Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.
Deploy and configure RDS/Aurora databases with HA and security
Configure AWS RDS (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Use when setting up datasources, connection pooling, security, and production-ready database configuration.
Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.
AWS S3 object storage for bucket management, object operations, and access control. Use when creating buckets, uploading files, configuring lifecycle policies, setting up static websites, managing permissions, or implementing cross-region replication.