Install to Claude Code
npx -y skills add https://github.com/aj-geddes/useful-ai-prompts --skill grpc-service-developmentDescription
grpc service development
SKILL.md
---
name: grpc-service-development
description: >
Build high-performance gRPC services with Protocol Buffers, bidirectional
streaming, and microservice communication. Use when building gRPC servers,
defining service contracts, or implementing inter-service communication.
---
# 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:
```protobuf
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](references/protocol-buffer-service-definition.md) | Protocol Buffer Service Definition |
| [Node.js gRPC Server Implementation](references/nodejs-grpc-server-implementation.md) | Node.js gRPC Server Implementation |
| [Python gRPC Server (grpcio)](references/python-grpc-server-grpcio.md) | Python gRPC Server (grpcio) |
| [Client Implementation](references/client-implementation.md) | 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
