go-implementor

Production-grade Go services require idiomatic patterns, structured logging, metrics, tracing, and clean architecture. This Skill provides end-to-end guidance for REST and gRPC backends with test coverage, error handling, context propagation, and deployment-ready observability integrated from the start.

TDD-driven development ensures robust Go services. This Skill covers unit testing, test structure, and testing patterns that work with clean architecture to validate both business logic and service boundaries before deployment.

Observability in Go requires structured logging, metrics collection, and distributed tracing. This Skill integrates these patterns into service design so context flows through requests, errors surface clearly, and production behavior becomes visible.

Clean architecture separates concerns and reduces coupling in Go projects. This Skill scaffolds maintainable service structures with proper layer boundaries, interface design, and error handling conventions that scale as services grow.

Go is well-suited for cloud-native backends. This Skill applies idiomatic Go patterns, context propagation, and observability practices specifically for cloud environments, covering both REST and gRPC protocols used in modern deployments.

Error handling and context propagation are critical in production Go services. This Skill teaches idiomatic patterns for wrapping errors meaningfully, propagating request context through call chains, and maintaining traceability across distributed calls.