What event-driven patterns are included?

It features patterns for SQS-triggered Lambdas with partial batch failure handling and decoupled messaging using SNS.

How does this skill help with performance?

It includes specific guidance on cold start optimization, memory allocation, and efficient resource initialization outside of the handler function.

Does it support both Node.js and Python?

Yes, the skill provides optimized handler patterns and implementation guides for both Node.js and Python Lambda functions.

Can I use this for Infrastructure as Code (IaC)?

Yes, the skill provides YAML templates and patterns for AWS SAM (Serverless Application Model) to automate infrastructure deployment.

What AWS services are covered by this skill?

This skill covers core serverless services including AWS Lambda, API Gateway, DynamoDB, SQS, SNS, and deployment tools like SAM and CDK.

AWS Serverless Development

Name: AWS Serverless Development
Author: claudiodearaujo

byclaudiodearaujo

0•

Cloud Infrastructure

Builds production-ready serverless applications on AWS using optimized patterns for Lambda, API Gateway, and DynamoDB.

This skill equips Claude with specialized knowledge for architecting and implementing scalable AWS serverless solutions. It provides production-grade patterns for Lambda handlers in Node.js and Python, infrastructure-as-code templates via AWS SAM, and robust event-driven architectures using SQS and SNS. By focusing on performance optimization, the skill helps developers minimize cold starts, implement proper error handling, and follow infrastructure best practices to avoid common architectural anti-patterns.

Key Features

01Standardized Lambda handler patterns for Node.js and Python

02Event-driven architecture patterns with SQS/SNS integration

03Production-ready DynamoDB and API Gateway configurations

04Cold start optimization and performance tuning strategies

05Infrastructure-as-Code (IaC) templates for AWS SAM and CDK

060 GitHub stars

Use Cases

01Implementing reliable asynchronous background processing with SQS

02Building RESTful and HTTP APIs backed by Lambda functions

03Refactoring monolithic applications into optimized micro-services

Key Features

01Standardized Lambda handler patterns for Node.js and Python

02Event-driven architecture patterns with SQS/SNS integration

03Production-ready DynamoDB and API Gateway configurations

04Cold start optimization and performance tuning strategies

05Infrastructure-as-Code (IaC) templates for AWS SAM and CDK

060 GitHub stars

Use Cases

01Implementing reliable asynchronous background processing with SQS

02Building RESTful and HTTP APIs backed by Lambda functions

03Refactoring monolithic applications into optimized micro-services