How are errors handled in these patterns?

The skill provides a @GrpcAdvice pattern to map domain-specific exceptions to standard gRPC Status codes like NOT_FOUND, ALREADY_EXISTS, and INVALID_ARGUMENT.

Can I use this for secure service-to-service communication?

Absolutely. It includes AuthClientInterceptor examples for attaching Bearer tokens to gRPC metadata for secure inter-service calls.

What implementation languages does this skill support?

While Protocol Buffers are language-agnostic, this skill provides specific implementation patterns for Kotlin using Spring Boot and Coroutines.

Does this skill include support for gRPC streaming?

Yes, it includes boilerplate and patterns for both server-side streaming (Watch) and bidirectional streaming (Flows).

gRPC & Protocol Buffers Patterns

Name: gRPC & Protocol Buffers Patterns
Author: ashchupliak

byashchupliak

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API Development

Standardizes microservice communication through robust gRPC service definitions and Protocol Buffer implementation patterns.

About

This skill provides a comprehensive toolkit for implementing gRPC and Protocol Buffers in high-performance microservice architectures. It offers production-ready templates for .proto file structures, Spring Boot gRPC server and client implementations using Kotlin coroutines, advanced error handling, and complex streaming patterns. By providing standardized mapping logic between Protobuf messages and domain models, as well as interceptor patterns for logging and authentication, it enables developers to build scalable, type-safe service-to-service contracts with minimal boilerplate.

Key Features

Global error handling with automated gRPC Status code mapping
Kotlin Coroutine-based gRPC server and client implementation templates
1 GitHub stars
Pre-configured interceptors for server-side logging and client-side authentication
Standardized .proto structures for unary, server-streaming, and bidirectional RPCs
Type-safe mapping patterns between Protocol Buffers and internal domain models

Use Cases

Defining high-performance service-to-service communication contracts in microservices
Building type-safe API definitions that serve as a single source of truth across teams
Implementing real-time data streaming or event-based systems using gRPC flows

About

Key Features

Global error handling with automated gRPC Status code mapping
Kotlin Coroutine-based gRPC server and client implementation templates
1 GitHub stars
Pre-configured interceptors for server-side logging and client-side authentication
Standardized .proto structures for unary, server-streaming, and bidirectional RPCs
Type-safe mapping patterns between Protocol Buffers and internal domain models

Use Cases

Defining high-performance service-to-service communication contracts in microservices
Building type-safe API definitions that serve as a single source of truth across teams
Implementing real-time data streaming or event-based systems using gRPC flows