claude

aws-dev-toolkit

AWS development toolkit — 34 skills, 11 agents, and 3 MCP servers for building, migrating, and performing architecture reviews on AWS.

0 on GitHubby aws-samplesv0.4.0MIT-0updated 4 months agodevelopment
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Plugin aws-dev-toolkit from marketplace claude-plugins-official in jrezelorezo/gh-repo-clone-anthropics-claude-plugins-official. Commands read from the repo's manifest — 19 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (35)

  • agentcore

    Deep-dive into Amazon Bedrock AgentCore platform design, service selection, deployment, and production operations. This skill should be used when the user asks to "design an AgentCore architecture", "deploy agents on AgentCore", "configure AgentCore Runtime", "set up AgentCore Memory", "use AgentCor

  • api-gateway

    Design and configure Amazon API Gateway APIs. Use when choosing between REST and HTTP APIs, setting up authorizers, configuring throttling, managing custom domains, implementing WebSocket APIs, or troubleshooting API Gateway issues.

  • aws-architect

    Design and review AWS architectures following Well-Architected Framework principles. Use when planning new infrastructure, reviewing existing architectures, evaluating trade-offs between AWS services, or when asked about AWS best practices.

  • aws-compare

    Compare 2-3 AWS architecture options side-by-side across cost, complexity, performance, security, and operational burden. Use when evaluating trade-offs between approaches or when the user is deciding between options.

  • aws-debug

    Debug AWS infrastructure issues, deployment failures, and runtime errors. Use when troubleshooting CloudFormation stack failures, Lambda errors, ECS task failures, permission issues, networking problems, or any AWS service misbehavior.

  • aws-diagram

    Generate AWS architecture diagrams in Mermaid or ASCII from a description, existing IaC, or conversation context. Use when the user wants to visualize an architecture.

  • aws-health-check

    Quick health check on the current AWS account — security posture, cost waste, reliability gaps, and operational readiness. Lighter than a full Well-Architected review.

  • aws-plan

    End-to-end AWS architecture planning — discovery, design, security review, cost estimate, and SCP recommendations. Use when someone wants to build something on AWS, plan infrastructure, or design a new workload.

  • bedrock

    Deep-dive into Amazon Bedrock — model selection, agents, knowledge bases, guardrails, prompt engineering, and cost modeling. This skill should be used when the user asks to "build with Bedrock", "select a Bedrock model", "design a Bedrock agent", "set up a knowledge base", "configure guardrails", "e

  • challenger

    Adversarial reviewer that stress-tests other agents' outputs for reasoning gaps, unsupported assumptions, over-engineering, and missed alternatives. Use when validating an architecture recommendation, questioning a migration plan, challenging a cost estimate, or ensuring any agent output is battle-t

  • cloudfront

    Design and configure Amazon CloudFront distributions. Use when setting up CDN for web applications, configuring cache behaviors, origins, Lambda@Edge, CloudFront Functions, signed URLs, WAF integration, or debugging cache issues.

  • cost-check

    Analyze and optimize AWS costs. Use when reviewing infrastructure for cost savings, estimating costs for new architectures, investigating unexpected charges, or comparing pricing between service options.

  • customer-ideation

    Guide customers from idea to AWS architecture with structured discovery, service selection, and Well-Architected review. Use when brainstorming new projects on AWS, helping customers choose AWS services, designing new architectures, or when someone says "I have an idea" or "I want to build something

  • dynamodb

    Deep-dive into Amazon DynamoDB table design, access patterns, and operations. Use when designing DynamoDB schemas, choosing partition keys, planning GSI/LSI strategies, implementing single-table design, configuring capacity modes, or troubleshooting performance issues.

  • ec2

    Design, configure, and optimize Amazon EC2 workloads. Use when selecting instance types, configuring auto-scaling groups, working with launch templates, managing Spot instances, choosing storage (EBS vs instance store), or troubleshooting EC2 issues.

  • ecs-soci

    Generate a complete ECS Fargate SOCI (Seekable OCI) example with Terraform. Demonstrates lazy-loading container images for faster task startup using SOCI index v2 manifests. Includes a heavy ML inference container (PyTorch + FastAPI) with and without SOCI for comparison. Use when the user asks about

  • ecs

    This skill should be used when the user asks to "deploy containers on ECS", "set up an ECS service", "choose between Fargate and EC2", "configure ECS task definitions", "set up ECS auto-scaling", "use ECS Express Mode", "migrate from App Runner", or mentions ECS load balancing, deployment strategies

  • eks

    Design, deploy, and troubleshoot Amazon EKS clusters. Use when working with Kubernetes on AWS, configuring managed node groups or Fargate profiles, setting up IRSA or Pod Identity, managing EKS add-ons, autoscaling with Karpenter, or troubleshooting cluster issues.

  • iac-scaffold

    Scaffold new AWS infrastructure-as-code projects using CDK, Terraform, SAM, or CloudFormation. Use when creating new IaC projects, adding new stacks/modules, or setting up deployment pipelines for AWS infrastructure.

  • iam

    Design and review AWS IAM configurations. Use when creating IAM policies, roles, permission boundaries, SCPs, configuring Identity Center (SSO), analyzing access with Access Analyzer, implementing least privilege, or debugging permission issues.

  • iot

    Deep-dive into AWS IoT architecture, device connectivity, edge computing, and fleet management. This skill should be used when the user asks to "design an IoT solution", "connect devices to AWS", "set up MQTT messaging", "configure IoT rules", "provision a device fleet", "use Greengrass at the edge"

  • lambda

    Design, build, and optimize AWS Lambda functions. Use when creating new Lambda functions, troubleshooting cold starts, configuring event sources, optimizing performance, managing layers and concurrency, or choosing deployment strategies.

  • messaging

    Deep-dive into AWS messaging services including SQS, SNS, and EventBridge. Use when designing event-driven architectures, choosing between messaging services, configuring queues and topics, implementing fan-out patterns, setting up dead-letter queues, or troubleshooting message delivery issues.

  • migration-apprunner-to-ecs-express

    Guided migration from AWS App Runner to Amazon ECS Express Mode. Covers IAM setup, deployment, custom domains, DNS cutover, cost comparison, and troubleshooting. Use when the user asks to "migrate from App Runner", "move to ECS Express Mode", "replace App Runner", or mentions App Runner deprecation.

  • migration-azure-to-aws

    Azure to AWS migration guidance with service mappings, gotchas, and assessment. Use when migrating from Microsoft Azure, mapping Azure services to AWS equivalents, assessing Azure environments, or planning Azure-to-AWS migrations.

  • migration-gcp-to-aws

    GCP to AWS migration guidance with service mappings, gotchas, and assessment. Use when migrating from Google Cloud Platform, mapping GCP services to AWS equivalents, assessing GCP environments, or planning GCP-to-AWS migrations.

  • mlops

    End-to-end MLOps guidance on AWS — platform selection, training, inference, pipelines, monitoring, and cost optimization. This skill should be used when the user asks to "build an ML pipeline", "deploy a model on SageMaker", "set up MLOps", "configure SageMaker Pipelines", "choose between SageMaker

  • networking

    Design and troubleshoot AWS networking. Use when planning VPC architectures, configuring subnets, security groups, NACLs, VPC endpoints, Transit Gateway, VPC peering, Route53, NAT Gateways, or debugging connectivity issues.

  • observability

    Design and implement AWS observability solutions. Use when configuring CloudWatch metrics, logs, alarms, dashboards, Logs Insights queries, X-Ray tracing, anomaly detection, or debugging monitoring gaps.

  • rds-aurora

    Deep-dive into Amazon RDS and Aurora database design, engine selection, high availability, and operations. This skill should be used when the user asks to "design an RDS database", "choose between RDS and Aurora", "configure Aurora Serverless", "set up read replicas", "plan a database migration", "c

  • s3

    Deep-dive into Amazon S3 bucket configuration, storage optimization, and access control. Use when designing S3 storage strategies, configuring bucket policies and access controls, optimizing performance for large-scale workloads, setting up lifecycle policies, or troubleshooting S3 access issues.

  • security-review

    Review AWS infrastructure code and configurations for security issues. Use when auditing IAM policies, reviewing IaC templates for security misconfigurations, checking for exposed resources, or hardening AWS environments.

  • step-functions

    Design and build AWS Step Functions workflows. Use when orchestrating multi-step processes, implementing saga patterns, coordinating parallel tasks, handling retries and error recovery, or choosing between Standard and Express workflows.

  • strands-agent

    Scaffold and build AI agents using the Strands Agents SDK with Bedrock AgentCore. Use when creating new agent projects, building greenfield AgentCore applications, prototyping agents with Strands, or when asked about the Strands framework. Covers both TypeScript and Python.

  • well-architected

    Run formal AWS Well-Architected Framework reviews against workloads. Use when conducting a Well-Architected review, evaluating architecture against the six pillars, identifying high-risk issues, creating improvement plans, or when someone asks about Well-Architected best practices, lenses, or the WA

Subagents (11)

  • agentcore-sme

    Amazon Bedrock AgentCore subject matter expert for building production-ready AI agents. Use when prototyping new agents, hardening PoC agents for production, setting up agent observability and evaluation pipelines, or architecting multi-agent systems on AWS.

  • aws-explorer

    Read-only AWS environment explorer. Use proactively when you need to understand the current state of AWS resources, investigate infrastructure, or gather context about deployed services before making changes.

  • bedrock-sme

    Amazon Bedrock subject matter expert emphasizing cost-efficient usage patterns. Use when designing Bedrock-based solutions, selecting models, architecting agent workflows, configuring knowledge bases, or when you need practical Bedrock guidance that won't blow the budget.

  • container-sme

    Container expert for ECS, EKS, and Fargate. Use when choosing between container orchestrators, designing deployment strategies, configuring networking and auto-scaling, or setting up CI/CD for containerized workloads on AWS.

  • cost-optimizer

    Deep AWS cost optimization expert. Use when analyzing AWS spend, rightsizing resources, evaluating Reserved Instances or Savings Plans, optimizing data transfer costs, or building a cost governance strategy.

  • iac-reviewer

    Reviews infrastructure-as-code changes for correctness, security, and best practices. Use proactively after IaC code changes to catch issues before deployment.

  • migration-advisor

    Cloud migration expert. Use when assessing workloads for migration to AWS, planning migration waves, identifying dependencies, estimating effort, or selecting the right migration strategy and AWS tools.

  • networking-sme

    AWS networking expert covering VPC design, hybrid connectivity, DNS, CDN, load balancing, and service connectivity. Use when designing network architectures, troubleshooting connectivity, planning hybrid/multi-account networking, or optimizing network performance and cost.

  • observability-sme

    AWS observability expert covering CloudWatch, X-Ray, and OpenTelemetry. Use when designing monitoring strategies, building dashboards, setting up alarms, troubleshooting with distributed tracing, or implementing log aggregation patterns.

  • serverless-sme

    Serverless architecture expert for Lambda, API Gateway, Step Functions, EventBridge, and DynamoDB. Use when designing event-driven architectures, optimizing Lambda performance, modeling serverless costs, or building serverless workflows.

  • well-architected-reviewer

    Conducts deep AWS Well-Architected Framework reviews of workloads. Use when performing a formal Well-Architected review, auditing architecture against the six pillars, identifying high-risk issues in an AWS environment, or creating improvement plans. Runs assessment commands to gather evidence.

MCP servers (3)

  • awsiac

    runs: uvx awslabs.aws-iac-mcp-server@latest

  • awsknowledge

    connects to: https://knowledge-mcp.global.api.aws

  • awspricing

    runs: uvx awslabs.aws-pricing-mcp-server@latest

View source on GitHub

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