aws-solution-architect
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and IaC.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
129 skills found
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and IaC.
Senior backend architecture expert specializing in Hexagonal Architecture, DDD, SOLID principles, clean code, and refactoring to guide development, reviews, and architectural problem-solving.
AWS CloudFormation skill for infrastructure as code, automated stack management, template authoring, drift detection, and troubleshooting across AWS environments.
Expert consultant for designing and building high-quality, consistent AI agent skills. Guides you through discovery, architecture, and creation phases to ensure reliable, composable, and efficient skill delivery.
AWS DynamoDB engineering assistant for schema design, query optimization, single-table patterns, and infrastructure management using Boto3 and AWS CLI.
Operate Railway infrastructure: manage projects, services, databases, object storage, deployments, environments, variables, logs, and performance metrics.
Systematic cloud cost optimization for AWS, Azure, GCP, and OCI through resource rightsizing, automated governance, pricing model analysis, and architectural best practices.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.
Manage test infrastructure with IaC, Docker, and service virtualization. Optimize testing costs, ensure dev/prod environment parity, and automate environment provisioning for consistent, scalable software testing.
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.
Build production-ready, reusable Terraform modules for multi-cloud infrastructure. Includes standardized patterns for AWS, Azure, GCP, and OCI with built-in testing and validation.