zxkane / aws-skills
★ 326A skill package that teaches your agent 2 capabilities — every one documented and browsable below, no GitHub required · by zxkane.
Each skill below is one capability this package teaches your agent. Install the whole package, or open a skill to install just that one.
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
4 files — installable on its own
AWS Skills - Discover reusable skills for AI coding agents like Claude Code, Codex, and more. Each skill is a package of instructions and code that teaches your agent to perform specialized tasks and automate complex workflows.
4 files — installable on its own
AWS Skills for Claude Code
Claude Code plugins for AWS development with specialized knowledge and MCP server integrations, including CDK, serverless architecture, cost optimization, and Bedrock AgentCore for AI agent deployment.
Plugins
0. AWS Common Plugin (Dependency)
Shared AWS agent skills including AWS Documentation MCP configuration for querying up-to-date AWS knowledge.
Features:
- AWS MCP server configuration guide
- Documentation MCP setup for querying AWS knowledge
- Shared by all other AWS plugins as a dependency
Note: This plugin is automatically loaded as a dependency by other plugins. Install it first if installing plugins individually.
1. AWS CDK Plugin
AWS CDK development skill with integrated MCP server for infrastructure as code.
Features:
- AWS CDK best practices and patterns
- Pre-deployment validation script
- Comprehensive CDK patterns reference
Integrated MCP Server:
- AWS CDK MCP (stdio)
2. AWS Cost & Operations Plugin
Cost optimization, monitoring, and operational excellence with 3 integrated MCP servers.
Features:
- Cost estimation and optimization
- Monitoring and observability patterns
- Operational best practices
Integrated MCP Servers:
- AWS Pricing
- AWS Cost Explorer
- Amazon CloudWatch
3. AWS Serverless & Event-Driven Architecture Plugin
Serverless and event-driven architecture patterns based on Well-Architected Framework.
Features:
- Well-Architected serverless design principles
- Event-driven architecture patterns
- Orchestration with Step Functions
- Saga patterns for distributed transactions
- Event sourcing patterns
4. AWS Agentic AI Plugin
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents.
Features:
- Gateway service for converting REST APIs to MCP tools
- Runtime service for deploying and scaling agents
- Memory service for managing conversation state
- Identity service for credential and access management
- Code Interpreter for secure code execution
- Browser service for web automation
- Observability for tracing and monitoring
Installation
Option 1: Claude Code Plugin Marketplace
Add the marketplace to Claude Code:
/plugin marketplace add zxkane/aws-skillsInstall plugins individually:
# Install the common dependency first
/plugin install aws-common@aws-skills
# Then install the plugins you need
/plugin install aws-iac@aws-skills
/plugin install aws-cost-ops@aws-skills
/plugin install serverless-eda@aws-skills
/plugin install aws-agentic-ai@aws-skillsOption 2: Install Individual Skills via npx
Install a single skill directly from the repository using skills.sh:
# AWS CDK development skill
npx skills add https://github.com/zxkane/aws-skills --skill aws-cdk-development
# AWS SST (Ion) infrastructure-as-code skill
npx skills add https://github.com/zxkane/aws-skills --skill aws-sst-development
# AWS cost & operations skill
npx skills add https://github.com/zxkane/aws-skills --skill aws-cost-operations
# AWS serverless & event-driven architecture skill
npx skills add https://github.com/zxkane/aws-skills --skill aws-serverless-eda
# AWS Bedrock AgentCore skill
npx skills add https://github.com/zxkane/aws-skills --skill aws-agentic-ai
# AWS MCP setup (shared dependency)
npx skills add https://github.com/zxkane/aws-skills --skill aws-mcp-setupBrowse all skills at skills.sh/zxkane/aws-skills.
Core CDK Principles
Resource Naming
Do NOT explicitly specify resource names when they are optional in CDK constructs.
// ✅ GOOD - Let CDK generate unique names
new lambda.Function(this, 'MyFunction', {
// No functionName specified
});
// ❌ BAD - Prevents multiple deployments
new lambda.Function(this, 'MyFunction', {
functionName: 'my-lambda',
});Lambda Functions
Use appropriate constructs for automatic bundling:
- TypeScript/JavaScript:
NodejsFunctionfromaws-cdk-lib/aws-lambda-nodejs - Python:
PythonFunctionfrom@aws-cdk/aws-lambda-python-alpha
Pre-Deployment Validation
Before committing CDK code:
npm run build
npm test
npm run lint
cdk synth
./scripts/validate-stack.shUsage Examples
CDK Development
Ask Claude to help with CDK:
Create a CDK stack with a Lambda function that processes S3 eventsClaude will:
- Follow CDK best practices
- Use NodejsFunction for automatic bundling
- Avoid explicit resource naming
- Grant proper IAM permissions
- Use MCP servers for latest AWS information
Cost Optimization
Estimate costs before deployment:
Estimate the monthly cost of running 10 Lambda functions with 1M invocations eachAnalyze current spending:
Show me my AWS costs for the last 30 days broken down by serviceMonitoring and Observability
Set up monitoring:
Create CloudWatch alarms for my Lambda functions to alert on errors and high durationInvestigate issues:
Show me CloudWatch logs for my API Gateway errors in the last hourSecurity and Audit
Audit activity:
Show me all IAM changes made in the last 7 daysAssess security:
Run a Well-Architected security assessment on my infrastructureServerless Development
Build serverless applications:
Create a serverless API with Lambda and API Gateway for user managementImplement event-driven workflow:
Create an event-driven order processing system with EventBridge and Step FunctionsOrchestrate complex workflows:
Implement a saga pattern for booking flights, hotels, and car rentals with compensation logicAI Agent Development
Deploy AI agents with Bedrock AgentCore:
Deploy a REST API as an MCP tool using AgentCore GatewayManage agent memory:
Set up conversation memory for my AI agent with DynamoDB backendMonitor agent performance:
Configure observability for my AgentCore runtime with CloudWatch dashboardsStructure
.
├── .claude-plugin/
│ └── marketplace.json # Plugin marketplace configuration
├── plugins/ # Each plugin has isolated skills
│ ├── aws-common/
│ │ └── skills/
│ │ └── aws-mcp-setup/ # Shared MCP configuration skill
│ │ └── SKILL.md
│ ├── aws-iac/ # Infrastructure as code (CDK + SST)
│ │ └── skills/
│ │ ├── aws-cdk-development/ # CDK development skill
│ │ │ ├── SKILL.md
│ │ │ ├── references/
│ │ │ │ └── cdk-patterns.md
│ │ │ └── scripts/
│ │ │ └── validate-stack.sh
│ │ └── aws-sst-development/ # SST v4 (Ion) IaC skill
│ │ ├── SKILL.md
│ │ └── references/
│ │ ├── authoring.md
│ │ ├── deploy-and-troubleshoot.md
│ │ └── testing.md
│ ├── aws-cost-ops/
│ │ └── skills/
│ │ └── aws-cost-operations/ # Cost & operations skill
│ │ ├── SKILL.md
│ │ └── references/
│ │ ├── operations-patterns.md
│ │ └── cloudwatch-alarms.md
│ ├── serverless-eda/
│ │ └── skills/
│ │ └── aws-serverless-eda/ # Serverless & EDA skill
│ │ ├── SKILL.md
│ │ └── references/
│ │ ├── serverless-patterns.md
│ │ └── eda-patterns.md
│ └── aws-agentic-ai/
│ └── skills/
│ └── aws-agentic-ai/ # Bedrock AgentCore skill
│ ├── SKILL.md
│ ├── services/ # Service-specific docs
│ └── cross-service/ # Cross-service patterns
└── README.mdMCP Server Names
MCP server names use short identifiers to comply with Bedrock's 64-character tool name limit. The naming pattern is: mcp__plugin_{plugin}_{server}__{tool}
Examples: awsdocs (AWS docs), cdk (CDK), cw (CloudWatch), sfn (Step Functions), sam (Serverless), etc.
Resources
License
MIT License - see LICENSE
Install the whole package (2 skills):
npx skills add https://github.com/zxkane/aws-skillsOr install a single skill:
npx skills add https://github.com/zxkane/aws-skills --skill <name>Pick the skill name from the Skills tab — each entry there installs independently.