error-handling-patterns
Master cross-language error handling patterns: exceptions, Result types, and graceful degradation for resilient application development.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
39 skills found
Master cross-language error handling patterns: exceptions, Result types, and graceful degradation for resilient application development.
Design and implement robust, scalable event stores for event-sourced systems, covering architectural patterns, technology selection, and persistence strategies.
Implement consumer-driven contract testing for microservices using Pact, schema validation, and API versioning to prevent breaking changes and ensure distributed team coordination.
Expert SQL agent for modern database systems, query optimization, HTAP environments, and data architecture patterns. Optimize performance, schema design, and analytical workloads effectively.
AWS DynamoDB engineering assistant for schema design, query optimization, single-table patterns, and infrastructure management using Boto3 and AWS CLI.
Implement professional GitLab CI/CD pipelines with multi-stage workflows, caching strategies, and Kubernetes deployment patterns for scalable automation.
Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.
AWS SQS skill for managing message queues, decoupling microservices, configuring dead-letter queues, handling visibility timeouts, and implementing FIFO ordering.
AWS EKS management: cluster provisioning, node group orchestration, IRSA security, and Kubernetes workload deployment.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and IaC.
Orchestrate end-to-end quality engineering across CI/CD pipelines, from commit-stage unit testing and shift-left strategies to production-stage synthetic monitoring and compliance gates.