Can it assist with complex workflow orchestration?

Yes, it covers serverless orchestration tools such as AWS Step Functions to manage complex state machines and multi-step business logic.

Which cloud providers does the Serverless skill support?

The skill provides comprehensive support for AWS Lambda, Azure Functions, and Google Cloud Functions, as well as edge platforms like Vercel, Netlify, and Cloudflare Workers.

Does it include security best practices for serverless?

Absolutely. The skill provides guidance on serverless security best practices, including IAM roles, least-privilege access, and secure environment variable management.

Is it useful for cost management?

Yes, the skill includes advanced techniques for serverless cost optimization to help minimize expenses while maintaining high availability.

How does this skill help with serverless performance?

It includes specific patterns for cold start optimization, provisioned concurrency configuration, and custom runtime performance tuning to ensure low-latency execution.

Serverless Computing

Name: Serverless Computing
Author: pluginagentmarketplace

bypluginagentmarketplace

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Cloud Infrastructure

Architects and deploys scalable serverless solutions across AWS, Azure, Google Cloud, and edge computing platforms.

About

The Serverless skill empowers Claude to design, implement, and optimize event-driven architectures using industry-leading providers like AWS Lambda, Azure Functions, and Google Cloud Functions. It provides specialized guidance on managing the entire serverless lifecycle, from initial API Gateway integration and function orchestration with Step Functions to advanced performance tuning like cold start optimization and provisioned concurrency. Whether you are building lightweight edge functions with Cloudflare Workers or complex multi-cloud backend systems, this skill ensures your infrastructure is secure, cost-effective, and highly available.

Key Features

Event-driven architecture and pattern design
2 GitHub stars
Cold start optimization and performance tuning
Multi-cloud support for AWS Lambda, Azure Functions, and GCP
Edge computing implementation via Cloudflare Workers and Vercel
Serverless orchestration using Step Functions and workflows

Use Cases

Building scalable REST and GraphQL APIs using API Gateway and Lambda
Implementing automated, event-driven data processing pipelines
Deploying low-latency global logic using edge computing functions

About

Key Features

Event-driven architecture and pattern design
2 GitHub stars
Cold start optimization and performance tuning
Multi-cloud support for AWS Lambda, Azure Functions, and GCP
Edge computing implementation via Cloudflare Workers and Vercel
Serverless orchestration using Step Functions and workflows

Use Cases

Building scalable REST and GraphQL APIs using API Gateway and Lambda
Implementing automated, event-driven data processing pipelines
Deploying low-latency global logic using edge computing functions