Skill UI

Connect Rube MCP to Composio’s Amazon toolkit to automate Amazon operations; always retrieve RUBE_SEARCH_TOOLS first for live schemas, confirm RUBE_MANAGE_CONNECTIONS shows ACTIVE, then run workflows via RUBE_MULTI_EXECUTE_TOOL.

Connect Rube MCP to Composio’s Amazon toolkit to automate Amazon operations; always retrieve RUBE_SEARCH_TOOLS first for live schemas, confirm RUBE_MANAGE_CONNECTIONS shows ACTIVE, then run workflows via RUBE_MULTI_EXECUTE_TOOL.

This comprehensive guide covers the best practices for building production-ready, scalable serverless applications on Amazon Web Services (AWS). Learn to leverage core services like Lambda, API Gateway, and DynamoDB, and implement advanced patterns such as event-driven architectures (SQS/SNS). The content emphasizes performance optimization, robust error handling, structured logging, and deploying infrastructure using SAM/CDK.

This comprehensive guide covers the best practices for building production-ready, scalable serverless applications on Amazon Web Services (AWS). Learn to leverage core services like Lambda, API Gateway, and DynamoDB, and implement advanced patterns such as event-driven architectures (SQS/SNS). The content emphasizes performance optimization, robust error handling, structured logging, and deploying infrastructure using SAM/CDK.

This skill provides comprehensive guidance and established patterns for developing applications on Amazon Web Services (AWS). It focuses specifically on implementing robust infrastructure automation and adhering to best-practice cloud architecture patterns, ensuring scalable, secure, and resilient cloud deployments. Use this when building enterprise-grade systems requiring modern cloud development methodologies.

This skill provides comprehensive guidance and established patterns for developing applications on Amazon Web Services (AWS). It focuses specifically on implementing robust infrastructure automation and adhering to best-practice cloud architecture patterns, ensuring scalable, secure, and resilient cloud deployments. Use this when building enterprise-grade systems requiring modern cloud development methodologies.

Expert guidance on designing highly scalable, distributed NoSQL databases, specifically covering Apache Cassandra and Amazon DynamoDB. This skill emphasizes the 'Query-First' modeling approach, teaching best practices like partitioning, denormalization, single-table design, and avoiding common anti-patterns (e.g., hot partitions, joins) to ensure optimal read/write performance at massive scale.

This guide teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous, comprehensive threat detection across entire AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting various finding severity levels, and building robust, automated incident response playbooks using EventBridge and AWS Lambda for immediate containment actions.

Amazon Macie is a fully managed data security service that automatically discovers, classifies, and protects sensitive data (PII, financial records, credentials) stored in Amazon S3. It uses advanced machine learning and pattern matching to identify compliance risks and enforce data governance policies. Ideal for organizations needing automated data discovery for regulatory compliance and improving overall cloud security posture.

A comprehensive guide for Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. This skill covers the entire database lifecycle, including schema management, direct query execution, complex data migrations (e.g., MySQL to DSQL), and advanced performance tuning via query plan analysis (EXPLAIN ANALYZE). Essential for secure, multi-tenant application development.

Provides a comprehensive guide for managing Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers direct query execution, robust schema management, safe schema evolution, multi-tenant isolation patterns, and IAM authentication. Use cases include database development, complex migrations (e.g., MySQL to DSQL), and optimizing query performance using detailed plan explainability tools.

A comprehensive guide for developing and managing applications using Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. This skill covers core capabilities including direct query execution, robust schema management, safe data migration from MySQL, multi-tenant architectural patterns, IAM-based authentication, and detailed query plan explainability for performance tuning. Essential for developers handling complex database evolution.