MCP HubMCP Hub
SKILL·947A75

aws-cdk-development

zxkane
Actualizado 26 days ago
329
36
329
Ver en GitHub
Metaautomationdesign

Acerca de

Esta habilidad proporciona orientación experta en AWS CDK para construir infraestructura en la nube con TypeScript/Python, abarcando la creación de stacks, patrones de constructos y flujos de trabajo de despliegue. Úsela al implementar infraestructura como código, trabajar con CDK/CloudFormation, o necesitar ayuda con comandos como cdk synth/deploy. Incluye herramientas integradas de AWS y contexto automatizado para un desarrollo optimizado.

Instalación rápida

Claude Code

Recomendado
Principal
npx skills add zxkane/aws-skills -a claude-code
Comando PluginAlternativo
/plugin add https://github.com/zxkane/aws-skills
Git CloneAlternativo
git clone https://github.com/zxkane/aws-skills.git ~/.claude/skills/aws-cdk-development

Copia y pega este comando en Claude Code para instalar esta habilidad

Documentación

AWS CDK Development

This skill provides comprehensive guidance for developing AWS infrastructure using the Cloud Development Kit (CDK), with integrated MCP servers for accessing latest AWS knowledge and CDK utilities.

AWS Documentation Requirement

Always verify AWS facts using MCP tools (mcp__aws-mcp__* or mcp__*awsdocs*__*) before answering. The aws-mcp-setup dependency is auto-loaded — if MCP tools are unavailable, guide the user through that skill's setup flow.

CDK-Specific MCP Guidance

AWS Labs replaced the dedicated CDK MCP server (awslabs.cdk-mcp-server) with the broader awslabs.aws-iac-mcp-server, which covers CDK alongside CloudFormation and other AWS infrastructure-as-code workflows.

For CDK construct lookups, best-practice recommendations, and pattern guidance, install awslabs.aws-iac-mcp-server. It ships in the deploy-on-aws plugin from awslabs/agent-plugins, or can be registered directly with claude mcp add aws-iac uvx awslabs.aws-iac-mcp-server@latest.

When to reach for it:

  • CDK construct recommendations and API lookups
  • CDK and CloudFormation best-practice patterns
  • Validation of synthesized templates
  • Cross-resource configuration guidance

When to Use This Skill

Use this skill when:

  • Creating new CDK stacks or constructs
  • Refactoring existing CDK infrastructure
  • Implementing Lambda functions within CDK
  • Following AWS CDK best practices
  • Validating CDK stack configurations before deployment
  • Verifying AWS service capabilities and regional availability

Core CDK Principles

Resource Naming

CRITICAL: Do NOT explicitly specify resource names when they are optional in CDK constructs.

Why: CDK-generated names enable:

  • Reusable patterns: Deploy the same construct/pattern multiple times without conflicts
  • Parallel deployments: Multiple stacks can deploy simultaneously in the same region
  • Cleaner shared logic: Patterns and shared code can be initialized multiple times without name collision
  • Stack isolation: Each stack gets uniquely identified resources automatically

Pattern: Let CDK generate unique names automatically using CloudFormation's naming mechanism.

// ❌ BAD - Explicit naming prevents reusability and parallel deployments
new lambda.Function(this, 'MyFunction', {
  functionName: 'my-lambda',  // Avoid this
  // ...
});

// ✅ GOOD - Let CDK generate unique names
new lambda.Function(this, 'MyFunction', {
  // No functionName specified - CDK generates: StackName-MyFunctionXXXXXX
  // ...
});

Security Note: For different environments (dev, staging, prod), follow AWS Security Pillar best practices by using separate AWS accounts rather than relying on resource naming within a single account. Account-level isolation provides stronger security boundaries.

Lambda Function Development

Use the appropriate Lambda construct based on runtime:

TypeScript/JavaScript: Use @aws-cdk/aws-lambda-nodejs

import { NodejsFunction } from 'aws-cdk-lib/aws-lambda-nodejs';

new NodejsFunction(this, 'MyFunction', {
  entry: 'lambda/handler.ts',
  handler: 'handler',
  // Automatically handles bundling, dependencies, and transpilation
});

Python: Use @aws-cdk/aws-lambda-python

import { PythonFunction } from '@aws-cdk/aws-lambda-python-alpha';

new PythonFunction(this, 'MyFunction', {
  entry: 'lambda',
  index: 'handler.py',
  handler: 'handler',
  // Automatically handles dependencies and packaging
});

Benefits:

  • Automatic bundling and dependency management
  • Transpilation handled automatically
  • No manual packaging required
  • Consistent deployment patterns

Pre-Deployment Validation

Use a multi-layer validation strategy for comprehensive CDK quality checks:

Layer 1: Real-Time IDE Feedback (Recommended)

For TypeScript/JavaScript projects:

Install cdk-nag for synthesis-time validation:

npm install --save-dev cdk-nag

Add to your CDK app:

import { Aspects } from 'aws-cdk-lib';
import { AwsSolutionsChecks } from 'cdk-nag';

const app = new App();
Aspects.of(app).add(new AwsSolutionsChecks());

Optional - VS Code users: Install CDK NAG Validator extension for faster feedback on file save.

For Python/Java/C#/Go projects: cdk-nag is available in all CDK languages and provides the same synthesis-time validation.

Layer 2: Synthesis-Time Validation (Required)

  1. Synthesis with cdk-nag: Validate stack with comprehensive rules

    cdk synth  # cdk-nag runs automatically via Aspects
    
  2. Suppress legitimate exceptions with documented reasons:

    import { NagSuppressions } from 'cdk-nag';
    
    // Document WHY the exception is needed
    NagSuppressions.addResourceSuppressions(resource, [
      {
        id: 'AwsSolutions-L1',
        reason: 'Lambda@Edge requires specific runtime for CloudFront compatibility'
      }
    ]);
    

Layer 3: Pre-Commit Safety Net

  1. Build: Ensure compilation succeeds

    npm run build  # or language-specific build command
    
  2. Tests: Run unit and integration tests

    npm test  # or pytest, mvn test, etc.
    
  3. Validation Script: Meta-level checks

    ./scripts/validate-stack.sh
    

The validation script now focuses on:

  • Language detection
  • Template size and resource count analysis
  • Synthesis success verification
  • (Note: Detailed anti-pattern checks are handled by cdk-nag)

Workflow Guidelines

Development Workflow

  1. Design: Plan infrastructure resources and relationships
  2. Verify AWS Services: Use AWS Documentation MCP to confirm service availability and features
    • Check regional availability for all required services
    • Verify service limits and quotas
    • Confirm latest API specifications
  3. Implement: Write CDK constructs following best practices
    • Use CDK MCP server for construct recommendations
    • Reference CDK best practices via MCP tools
  4. Validate: Run pre-deployment checks (see above)
  5. Synthesize: Generate CloudFormation templates
  6. Review: Examine synthesized templates for correctness
  7. Deploy: Deploy to target environment
  8. Verify: Confirm resources are created correctly

Stack Organization

  • Use nested stacks for complex applications
  • Separate concerns into logical construct boundaries
  • Export values that other stacks may need
  • Use CDK context for environment-specific configuration

Testing Strategy

  • Unit test individual constructs
  • Integration test stack synthesis
  • Snapshot test CloudFormation templates
  • Validate resource properties and relationships

Using MCP Servers Effectively

When to Use AWS Documentation MCP

Always verify before implementing:

  • New AWS service features or configurations
  • Service availability in target regions
  • API parameter specifications
  • Service limits and quotas
  • Security best practices for AWS services

Example scenarios:

  • "Check if Lambda supports Python 3.13 runtime"
  • "Verify DynamoDB is available in eu-south-2"
  • "What are the current Lambda timeout limits?"
  • "Get latest S3 encryption options"

When to Use CDK MCP Server

Leverage for CDK-specific guidance:

  • CDK construct selection and usage
  • CDK API parameter options
  • CDK best practice patterns
  • Construct property configurations
  • CDK-specific optimizations

Example scenarios:

  • "What's the recommended CDK construct for API Gateway REST API?"
  • "How to configure NodejsFunction bundling options?"
  • "Best practices for CDK stack organization"
  • "CDK construct for DynamoDB with auto-scaling"

MCP Usage Best Practices

  1. Verify First: Always check AWS Documentation MCP before implementing new features
  2. Regional Validation: Check service availability in target deployment regions
  3. CDK Guidance: Use CDK MCP for construct-specific recommendations
  4. Stay Current: MCP servers provide latest information beyond knowledge cutoff
  5. Combine Sources: Use both skill patterns and MCP servers for comprehensive guidance

CDK Patterns Reference

For detailed CDK patterns, anti-patterns, and architectural guidance, refer to the comprehensive reference:

File: references/cdk-patterns.md

This reference includes:

  • Common CDK patterns and their use cases
  • Anti-patterns to avoid
  • Security best practices
  • Cost optimization strategies
  • Performance considerations

Additional Resources

  • Validation Script: scripts/validate-stack.sh - Pre-deployment validation
  • CDK Patterns: references/cdk-patterns.md - Detailed pattern library
  • AWS Documentation MCP: Integrated for latest AWS information
  • CDK MCP Server: Integrated for CDK-specific guidance

GitHub Actions Integration

When GitHub Actions workflow files exist in the repository, ensure all checks defined in .github/workflows/ pass before committing. This prevents CI/CD failures and maintains code quality standards.

Repositorio GitHub

zxkane/aws-skills
Ruta: plugins/aws-iac/skills/aws-cdk-development
0
agent-skillsanthropicawsaws-agentcoreaws-cdkaws-cost-optimization
FAQ

Frequently asked questions

What is the aws-cdk-development skill?

aws-cdk-development is a Claude Skill by zxkane. Skills package instructions and resources that Claude loads on demand, so Claude can perform aws-cdk-development-related tasks without extra prompting.

How do I install aws-cdk-development?

Use the install commands on this page: add aws-cdk-development to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does aws-cdk-development belong to?

aws-cdk-development is in the Meta category, tagged automation and design.

Is aws-cdk-development free to use?

Yes. aws-cdk-development is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

Habilidades relacionadas

content-collections
Meta

Esta habilidad proporciona una configuración probada en producción para Content Collections, una herramienta centrada en TypeScript que transforma archivos Markdown/MDX en colecciones de datos con tipado seguro mediante validación Zod. Úsala al construir blogs, sitios de documentación o aplicaciones Vite + React con mucho contenido para garantizar seguridad de tipos y validación automática de contenido. Abarca todo, desde la configuración del plugin de Vite y compilación MDX hasta la optimización de despliegue y validación de esquemas.

Ver habilidad
polymarket
Meta

Esta habilidad permite a los desarrolladores crear aplicaciones con la plataforma de mercados de predicción Polymarket, incluyendo la integración de API para operaciones y datos de mercado. También proporciona transmisión de datos en tiempo real a través de WebSocket para monitorear operaciones en vivo y actividad del mercado. Úsela para implementar estrategias de trading o crear herramientas que procesen actualizaciones de mercado en tiempo real.

Ver habilidad
creating-opencode-plugins
Meta

Esta habilidad ayuda a los desarrolladores a crear complementos de OpenCode que se conectan a más de 25 tipos de eventos, como comandos, archivos y operaciones LSP. Proporciona la estructura del complemento, las especificaciones de la API de eventos y los patrones de implementación para módulos en JavaScript/TypeScript. Úsala cuando necesites interceptar, monitorear o extender el ciclo de vida del asistente de IA de OpenCode con lógica personalizada basada en eventos.

Ver habilidad
sglang
Meta

SGLang es un framework de alto rendimiento para el servicio de LLM que se especializa en generación rápida y estructurada para JSON, expresiones regulares y flujos de trabajo de agentes utilizando su caché de prefijos RadixAttention. Ofrece una inferencia significativamente más rápida, especialmente para tareas con prefijos repetidos, lo que lo hace ideal para salidas complejas y estructuradas, y conversaciones multiturno. Elige SGLang sobre alternativas como vLLM cuando necesites decodificación restringida o estés construyendo aplicaciones con uso extensivo de prefijos compartidos.

Ver habilidad