Which programming languages are primarily supported?

The skill provides optimized, production-grade implementation patterns specifically for Node.js and Python environments.

What AWS services are covered by this skill?

It focuses on the core serverless stack: AWS Lambda, API Gateway, DynamoDB, SQS, SNS, and deployment tools like SAM and CDK.

Can it help with Lambda cold start issues?

Yes, it provides specific guidance on optimizing the initialization phase, managing dependencies, and choosing appropriate memory allocations to minimize latency.

Does this skill support infrastructure-as-code?

Yes, it includes patterns for AWS SAM and CloudFormation templates to ensure reproducible and automated infrastructure deployments.

How does it handle errors in event-driven systems?

It implements robust error handling patterns, including partial batch failure reporting for SQS and proper Dead Letter Queue (DLQ) configurations.

AWS Serverless Development

Name: AWS Serverless Development
Author: claudiodearaujo

byclaudiodearaujo

0•

Cloud Infrastructure

Builds and optimizes production-ready serverless applications on AWS using industry-standard architectural patterns.

This skill provides Claude with specialized knowledge for architecting, implementing, and deploying serverless applications on Amazon Web Services. It includes optimized patterns for Lambda handlers in Node.js and Python, API Gateway integrations via SAM/CDK, and reliable event-driven architectures using SQS and DynamoDB. Beyond code generation, it offers critical guidance on avoiding common pitfalls like cold start latency, monolithic function designs, and inefficient VPC configurations to ensure high performance and cost-effectiveness.

Key Features

01Optimized Lambda handler patterns for Node.js and Python

02Production-ready SAM and CDK deployment templates

03Scalable API Gateway and DynamoDB integration strategies

04Expert guidance on cold start optimization and memory allocation

050 GitHub stars

06Reliable event-driven processing with SQS and DLQ handling

Use Cases

01Migrating legacy backends to efficient, pay-per-request serverless architectures

02Implementing asynchronous, decoupled background processing systems

03Building high-performance REST or HTTP APIs with AWS Lambda

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front aws-serverless

For use in Claude.ai and ChatGPT

Download Skill