Generating gRPC Services

Generating gRPC Services

Overview

Generate gRPC service definitions, client/​server stubs, and implementations from Protocol Buffer (protobuf) .proto files. Scaffold unary, server-streaming, client-streaming, and bidirectional-streaming RPC methods with proper error status codes, interceptors for auth/​logging, and health check service registration.

Prerequisites

• Protocol Buffers compiler (protoc) v3.21+ installed
• Language-specific gRPC plugin: grpc_tools_node_protoc_plugin (Node.js), grpcio-tools (Python), or Go gRPC plugin
• buf CLI for proto linting and breaking change detection (recommended)
• gRPC testing tool: grpcurl, evans, or BloomRPC
• TLS certificates for production transport security (mTLS recommended for service-to-service)

Instructions

1. Read existing .proto files using Glob and Read, or design new service definitions with message types, RPC methods, and streaming patterns per service requirements.
2. Define proto3 message types with appropriate field types, using google.protobuf.Timestamp for dates, google.protobuf.Struct for dynamic fields, and oneof for polymorphic messages.
3. Compile .proto files with protoc to generate language-specific stubs, server interfaces, and client libraries using the appropriate gRPC plugin.
4. Implement server-side RPC handlers for each method, returning proper gRPC status codes (OK, NOT_FOUND, INVALID_ARGUMENT, PERMISSION_DENIED) instead of generic errors.
5. Add server interceptors for authentication (extracting JWT from metadata), request logging with correlation IDs, and deadline propagation across service calls.
6. Implement health check service (grpc.health.v1.Health) and reflection service for runtime introspection by tools like grpcurl.
7. Configure TLS transport security, preferring mutual TLS (mTLS) for service-to-service communication with certificate rotation support.
8. Write integration tests using an in-process test server, validating all RPC methods including streaming scenarios with multiple messages and error conditions.
9. Generate a REST-to-gRPC gateway using grpc-gateway annotations for HTTP/​JSON clients that need to access gRPC services.

See ${CLAUDE_SKILL_DIR}/​references/​implementation.md for the full implementation guide.

Output

• ${CLAUDE_SKILL_DIR}/​proto/ - Protocol Buffer service and message definitions
• ${CLAUDE_SKILL_DIR}/​generated/ - Auto-generated stubs and client/​server code
• ${CLAUDE_SKILL_DIR}/​src/​services/ - RPC method handler implementations
• ${CLAUDE_SKILL_DIR}/​src/​interceptors/ - Auth, logging, and metrics interceptors
• ${CLAUDE_SKILL_DIR}/​src/​health/ - Health check service implementation
• ${CLAUDE_SKILL_DIR}/​gateway/ - REST-to-gRPC gateway configuration (optional)
• ${CLAUDE_SKILL_DIR}/​tests/ - Integration tests with in-process test server

Error Handling

Refer to ${CLAUDE_SKILL_DIR}/​references/​errors.md for comprehensive error patterns.

Examples

User management service: Define UserService with CreateUser, GetUser, ListUsers (server-streaming for large result sets), and UpdateUser RPCs with field mask support for partial updates.

Real-time event stream: Bidirectional streaming RPC where clients subscribe to event topics and the server pushes filtered events, with flow control via client-side backpressure signals.

gRPC-Web frontend: Generate gRPC-Web compatible stubs for browser clients using Envoy proxy for HTTP/​2 to gRPC translation, enabling direct proto-based communication from React/​Vue applications.

See ${CLAUDE_SKILL_DIR}/​references/​examples.md for additional examples.

Resources

• gRPC documentation: https://grpc.io/docs/
• Protocol Buffers Language Guide: https://protobuf.dev/programming-guides/proto3/
• Buf CLI for proto management: https://buf.build/
• gRPC-Gateway: https://grpc-ecosystem.github.io/grpc-gateway/