grpc-service-development

SKILL.md

gRPC Service Development

Table of Contents

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

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