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Automates AWS Lambda layer setup by providing step-by-step guidance, validating against best practices, and generating production-ready code and deployment configurations for compute, storage, and networking scenarios.

This skill provides a comprehensive guide for deploying LangChain chains and agents into production-grade APIs. It supports multiple development stacks, including Python (LangServe/FastAPI) and Node.js (Express). Topics covered include containerization using Docker, setting up robust health checks, and deploying to major cloud platforms like Google Cloud Run and AWS Lambda. Learn how to build scalable, observable, and enterprise-grade API endpoints for advanced LLM applications.

This comprehensive guide provides step-by-step instructions for integrating Langfuse LLM observability into various cloud and serverless environments. It covers best practices for deployment on platforms such as Vercel, AWS Lambda, Google Cloud Run, and self-hosted Docker, ensuring robust tracing and monitoring of entire AI workflows.

Comprehensive guide and expert assistance for building, refactoring, and validating AWS cloud infrastructure using the AWS Cloud Development Kit (CDK). Covers best practices for TypeScript and Python, including resource naming conventions, Lambda function development, and multi-layer pre-deployment validation using tools like cdk-nag.

A comprehensive guide for designing and building scalable, resilient serverless applications and event-driven architectures on AWS. It covers best practices using Lambda, API Gateway, DynamoDB, Step Functions, and adheres to the AWS Well-Architected Framework principles, ensuring optimal performance, cost-efficiency, and maintainability.

Achieve complete integration with Amazon Alexa to build sophisticated, intelligent voice skills. This system transforms a standard Alexa device into an ultra-intelligent assistant by utilizing Claude as the core LLM brain, while deeply integrating with the entire AWS ecosystem (Lambda, DynamoDB, Polly, Smart Home). Ideal for complex, specialized voice interaction applications.

Build automated pipelines to respond to AWS GuardDuty findings. This solution uses EventBridge to detect high-severity threats and triggers a Lambda function. The function automatically quarantines compromised resources (e.g., EC2 instances), creates forensic EBS snapshots, and sends detailed notifications via SNS, drastically reducing Mean Time To Respond (MTTR). Ideal for proactive cloud security posture management.

A comprehensive guide for deploying and operationalizing Amazon GuardDuty. It provides continuous, intelligent threat detection across core AWS services including S3, EKS, and EC2 runtime monitoring. Use this skill to investigate suspicious activity, detect compromised credentials, or build automated incident response playbooks using EventBridge and Lambda for proactive security.

This sophisticated tool automates the security review of serverless functions across major cloud providers, including AWS Lambda, Azure Functions, and GCP Cloud Functions. It systematically identifies critical misconfigurations such as overly permissive IAM execution roles (wildcard actions), hardcoded secrets in environment variables, and potential lack of runtime protections. Ideal for pre-production auditing and compliance checks.

This guide outlines a comprehensive methodology for hardening AWS Lambda execution roles. It focuses on implementing the principle of least privilege by auditing existing roles, analyzing actual API usage via CloudTrail and IAM Access Analyzer, and programmatically creating scoped IAM policies. Use this when deploying new serverless functions, remediating over-privileged roles found during security audits, or building secure, reusable role templates.

A comprehensive guide to securing serverless compute platforms (AWS Lambda, Azure Functions, Google Cloud Functions). It covers critical security aspects including enforcing least-privilege IAM roles, integrating secrets management, vulnerability scanning of dependencies, input validation, and implementing runtime monitoring for robust DevSecOps practices.

This skill focuses on detecting and mitigating sophisticated code injection and privilege escalation attacks across the entire serverless ecosystem (AWS Lambda, Azure, GCP). It combines static analysis of dangerous code sinks (e.g., eval, exec) with continuous monitoring of event sources (S3, SQS, API Gateway) and rigorous IAM auditing. It provides a comprehensive framework to secure the expanding serverless attack surface.