Does it support specific programming languages?

Yes, it includes specific implementation patterns and best practices for both TypeScript and Python.

How does this skill ensure infrastructure quality?

The skill is strictly based on the AWS Well-Architected Framework, focusing on efficiency, security, and reliability.

Can I use this for local serverless testing?

Yes, it provides guidance on using the AWS Serverless MCP and SAM CLI for local initialization, testing, and deployment.

Is it suitable for microservices architecture?

Absolutely. It is specifically designed for building decoupled, event-driven microservices and distributed systems.

What AWS services does this skill cover?

It provides expert guidance on AWS Lambda, API Gateway, DynamoDB, Step Functions, EventBridge, SQS, SNS, and S3.

AWS Serverless & Event-Driven Architecture

Name: AWS Serverless & Event-Driven Architecture
Author: zxkane

byzxkane

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Infraestructura en la Nube

Builds scalable, resilient serverless applications and event-driven architectures on AWS using Well-Architected principles.

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This skill equips Claude with specialized knowledge to design and implement robust serverless systems on AWS. It provides comprehensive guidance on building microservices using Lambda, API Gateway, and DynamoDB, while emphasizing sophisticated event-driven patterns such as pub/sub with SNS/SQS, event routing via EventBridge, and complex workflow orchestration with Step Functions. By following AWS Well-Architected Framework principles, the skill ensures that applications are optimized for performance, cost, and reliability while leveraging modern development tools like the AWS SAM CLI and MCP documentation servers.

Características Principales

Implementation of distributed patterns like Saga, Fan-out, and Event Routing
Advanced workflow orchestration using AWS Step Functions and state machines
Integration with AWS MCP tools for real-time documentation and service availability checks
43 GitHub stars
Optimization of Lambda execution, including cold start mitigation and concurrency management
Serverless data modeling for high-performance Amazon DynamoDB tables

Casos de Uso

Designing asynchronous, fault-tolerant data processing pipelines with SQS and SNS
Building high-scale REST and HTTP APIs using Amazon API Gateway and Lambda
Orchestrating multi-service business transactions and long-running workflows

Acerca de

Características Principales

Implementation of distributed patterns like Saga, Fan-out, and Event Routing
Advanced workflow orchestration using AWS Step Functions and state machines
Integration with AWS MCP tools for real-time documentation and service availability checks
43 GitHub stars
Optimization of Lambda execution, including cold start mitigation and concurrency management
Serverless data modeling for high-performance Amazon DynamoDB tables

Casos de Uso

Designing asynchronous, fault-tolerant data processing pipelines with SQS and SNS
Building high-scale REST and HTTP APIs using Amazon API Gateway and Lambda
Orchestrating multi-service business transactions and long-running workflows