AWS Prescriptive Guidance Skill

Comprehensive AWS architectural patterns, ML deployment strategies, and cloud design best practices from official AWS documentation.

When to Use This Skill

This skill should be triggered when:

• Designing AWS architectures - Multi-tier applications, microservices, serverless systems
• Deploying ML models - SageMaker endpoints, inference pipelines, MLOps workflows
• Implementing cloud patterns - Circuit breakers, saga patterns, event sourcing, API routing
• Modernizing applications - Strangler fig migrations, anti-corruption layers, hexagonal architecture
• Building resilient systems - Retry with backoff, scatter-gather, publish-subscribe patterns
• Creating MLOps pipelines - Model training, deployment automation, cross-cloud workflows
• Integrating preprocessing with inference - SageMaker inference pipelines, feature engineering
• Implementing DevOps practices - CI/CD patterns, infrastructure as code, deployment strategies