gRPC Service Development Skill

gRPC Service Development

Overview
When to Use
Quick Start
Reference Guides
Best Practices

Overview

Develop efficient gRPC services using Protocol Buffers for service definition, with support for unary calls, client streaming, server streaming, and bidirectional streaming patterns.

When to Use

Building microservices that require high performance
Defining service contracts with Protocol Buffers
Implementing real-time bidirectional communication
Creating internal service-to-service APIs
Optimizing bandwidth-constrained environments
Building polyglot service architectures

Quick Start

Minimal working example:

syntax = "proto3";

package user.service;

message User {
  string id = 1;
  string email = 2;
  string first_name = 3;
  string last_name = 4;
  string role = 5;
  int64 created_at = 6;
  int64 updated_at = 7;
}

message CreateUserRequest {
  string email = 1;
  string first_name = 2;
  string last_name = 3;
  string role = 4;
}

message UpdateUserRequest {
  string id = 1;
  string email = 2;
  string first_name = 3;
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Protocol Buffer Service Definition | Protocol Buffer Service Definition | | Node.js gRPC Server Implementation | Node.js gRPC Server Implementation | | Python gRPC Server (grpcio) | Python gRPC Server (grpcio) | | Client Implementation | Client Implementation |

Best Practices

✅ DO

Use clear message and service naming
Implement proper error handling with gRPC status codes
Add metadata for logging and tracing
Version your protobuf definitions
Use streaming for large datasets
Implement timeouts and deadlines
Monitor gRPC metrics

❌ DON'T

Use gRPC for browser-based clients (use gRPC-Web)
Expose sensitive data in proto definitions
Create deeply nested messages
Ignore error status codes
Send uncompressed large payloads
Skip security with TLS in production

Agent Skills: gRPC Service Development

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