By aws-samples
AWS development toolkit — 34 skills, 11 agents, 3 MCP servers, and hooks for building, migrating, and reviewing well-architected applications on AWS.
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.
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.
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 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.
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.
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 AgentCore Gateway", "configure AgentCore Identity", "set up AgentCore Policy", "plan agent observability", "evaluate agent quality", "move agent PoC to production", or mentions AgentCore, AgentCore Runtime, AgentCore Memory, AgentCore Gateway, AgentCore Identity, AgentCore Policy, AgentCore Evaluations, AgentCore Code Interpreter, AgentCore Browser, A2A protocol, or multi-agent orchestration on AWS.
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.
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.
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.
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.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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A Claude Code plugin marketplace tailored to startup building on AWS.
Add the marketplace once, then install any plugin from it.
# Add the marketplace
/plugin marketplace add aws-samples/sample-claude-code-plugins-for-startups
A comprehensive AWS development toolkit — 34 skills, 11 sub-agents, 3 MCP servers, and hooks for building, migrating, and reviewing well-architected applications on AWS.
/plugin install aws-dev-toolkit@aws-samples
Or load locally during development:
claude --plugin-dir ./plugins/aws-dev-toolkit
Note:
--plugin-dirloads the plugin from disk at session start. File changes are picked up on the next session — not live./plugin updatedoes not work for local plugins (it requires a marketplace source). Restart Claude Code to pick up changes. See Plugins Guide for details.
Once installed, the plugin's skills, agents, and MCP servers are available automatically in Claude Code. Here's how each piece works:
Skills (Automatic)
Skills activate automatically based on context — no special commands needed. Just ask naturally:
"Review this architecture for Well-Architected best practices" → aws-architect
"Why is my CloudFormation stack failing?" → aws-debug
"How much is this infrastructure costing me?" → cost-check
"Are there security issues in my Terraform?" → security-review
"Estimate Bedrock costs for 50k daily invocations" → bedrock
"I want to build a serverless API for processing images" → aws-plan
"Compare ECS vs EKS for my workload" → aws-compare
"Show me a diagram of this architecture" → aws-diagram
"We're moving from GCP to AWS" → aws-migrate
Slash Commands
Some skills are invoked explicitly via slash commands:
/aws-dev-toolkit:iac-scaffold terraform "VPC with public/private subnets and NAT"
/aws-dev-toolkit:iac-scaffold cdk "Serverless API with Lambda and DynamoDB"
/aws-dev-toolkit:aws-health-check us-east-1
/aws-dev-toolkit:aws-diagram from-iac
/aws-dev-toolkit:aws-migrate gcp
Sub-Agents (Automatic)
Sub-agents are spun up automatically when Claude determines a specialist is needed. You can also invoke them directly:
"Explore my AWS environment and summarize what's deployed" → aws-explorer
"Run a Well-Architected review on my production workload" → well-architected-reviewer
"Review my IaC changes before I deploy" → iac-reviewer
"Help me plan a migration from Azure to AWS" → migration-advisor
"Help me pick the right Bedrock model for classification" → bedrock-sme
"I have a PoC agent, help me productionize it" → agentcore-sme
"Should I use ECS or EKS for this workload?" → container-sme
"Help me optimize my AWS bill" → cost-optimizer
MCP Servers
The plugin ships 3 MCP servers that are used behind the scenes by skills and agents — you don't need to invoke them directly.
| Server | Type | Package / URL | Description |
|---|---|---|---|
awsiac | stdio | awslabs.aws-iac-mcp-server | CDK/Terraform/CloudFormation development with security scanning |
awsknowledge | http | https://knowledge-mcp.global.api.aws | AWS documentation search, service recommendations, and regional availability |
awspricing | stdio | awslabs.aws-pricing-mcp-server | AWS service pricing data, cost reports, and IaC cost analysis |
Add to ~/.kiro/settings/mcp.json (user-level) or .kiro/settings/mcp.json (workspace-level):
{
"mcpServers": {
"awsiac": {
"command": "uvx",
"args": ["awslabs.aws-iac-mcp-server@latest"],
"env": { "FASTMCP_LOG_LEVEL": "ERROR" },
"disabled": false
},
"awsknowledge": {
"type": "http",
"url": "https://knowledge-mcp.global.api.aws",
"disabled": false
},
"awspricing": {
"command": "uvx",
"args": ["awslabs.aws-pricing-mcp-server@latest"],
"env": { "FASTMCP_LOG_LEVEL": "ERROR" },
"timeout": 120000,
"disabled": false
}
}
}
Hooks
.tf, template.yaml, *-stack.ts, etc.), Claude reminds you to validate before deploying"I need a new service on AWS"
aws-plan kicks in automatically/iac-scaffold cdk "your description"cdk synth && cdk diffnpx claudepluginhub aws-samples/sample-claude-code-plugins-for-startups --plugin aws-dev-toolkitPrompt optimization skills for Amazon Nova 1 and Nova 2. Provides /nova1-prompt and /nova2-prompt — rewrite or migrate a prompt for a specific Nova generation with the correct inference config, formatting rules, and (for Nova 2) multimodal caveats.
Healthcare and Life Sciences domain skills and MCP tools — genomics, drug discovery, clinical trials, biomarker analysis, medical terminology, and more. Use with the AWS Agent Toolkit for full agent build-and-deploy workflows.
AWS Spark Analysis plugin for Claude Code - troubleshoot Spark workloads on AWS Glue, EMR, and EMR Serverless
Two Claude Code skills for EKS Auto Mode: onboarding guide for newcomers and maintenance playbook for repo maintainers
AIDLC Operations phase automation — self-improving loops, autonomous deploys, continuous evaluation, incident response, and cost governance on AWS. Humans approve at checkpoints; agents execute diagnosis, proposal, and remediation between gates.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review