SKILL.md
gRPC Service Development
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#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)
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