Generate Go protobuf code from proto3 schemas for gRPC services.
npx skills add https://github.com/juburr/mad-skills --skill go-protobuf
Please help me install this Agent Skill. Skill: go-protobuf Source: https://github.com/juburr/mad-skills/tree/main/go-protobuf Command: npx skills add https://github.com/juburr/mad-skills --skill go-protobuf
Go projects often struggle to design, generate, and maintain protobuf-based data models and gRPC services across Go code, JSON/XML interop, and messaging ecosystems. This skill provides a comprehensive guide to implementing production-grade protobufs in Go, including proto3 schema design, code generation, gRPC service wiring, and OpenAPI/REST bridges.
Generate Go protobuf code from your .proto files using protoc and the Go plugin, then integrate the generated code into your Go project.
High-intent search queries and answers about installing and using this skill.
To generate Go gRPC code, use the protoc compiler with the Go plugin to compile your proto3 schema definitions, then integrate the generated files into your Go project using the official google.golang.org/protobuf APIs.
Converting Go structs to protobuf requires designing proto3 schema definitions that mirror your existing data models, focusing on type safety and versioning to build production-grade gRPC services without breaking existing clients.
The best way to maintain JSON interoperability is using the protojson package alongside OpenAPI tooling, which bridges proto3 schemas with JSON/XML formats for seamless data exchange across Go services.
Yes, you can use protobuf with NATS messaging by designing proto3 schemas that support NATS compatibility, enabling structured data serialization and exchange across distributed Go microservice architectures.
Yes, buf works alongside protoc for generating Go protobuf code, providing tooling guidance and streamlined build processes for managing proto3 schemas and gRPC service definitions in Go projects.
To add a new field without breaking gRPC clients, follow proto3 versioning best practices by appending optional fields to your schema, ensuring backward compatibility during the evolution of your Go microservice.
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