Generate Grpc Service
Generate production-ready gRPC services with Protocol Buffers
- Type
- Slash Command
- Repository
- jeremylongshore/tons-of-skills-marketplace
- GitHub stars
- 2.8k
- License
- MIT
- Repo last updated
- Sep 27, 2026
What Generate Grpc Service is
Generate Grpc Service is a slash command published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”
A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.
Generate Grpc Service gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.
How to install Generate Grpc Service
Claude Code
- Download generate-grpc-service.md from the repository.
- Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
- Run it by typing / followed by its name.
Claude Cowork
- Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
- In Customize → Skills, click +, then upload the ZIP.
- Run it from any task with / and the skill name.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/api-development/grpc-service-generator/commands/generate-grpc-service.md, shared under the repository's MIT license. Read the full file on GitHub.
Automatically generate high-performance gRPC services with Protocol Buffer definitions, streaming support, load balancing, and comprehensive service implementations for multiple programming languages.
When to Use This Command
Use /generate-grpc-service when you need to:
- Build high-performance microservices with binary protocol
- Implement real-time bidirectional streaming communication
- Create strongly-typed service contracts across languages
- Build internal services requiring minimal latency
- Support multiple programming languages with single definition
- Implement efficient mobile/IoT communication protocols
DON'T use this when:
- Building browser-based web applications (limited browser support)
- Simple REST APIs suffice (gRPC adds complexity)
- Working with teams unfamiliar with Protocol Buffers
- Debugging tools are limited in your environment
Design Decisions
This command implements gRPC with Protocol Buffers v3 as the primary approach because:
- Binary protocol offers 20-30% better performance than JSON
- Built-in code generation for 10+ languages
- Native support for streaming in all RPC patterns
- Strong typing prevents runtime errors
- Backward compatibility through field numbering
- Built-in service discovery and load balancing
Alternative considered: Apache Thrift
- Similar performance characteristics
- Less ecosystem support
- Fewer language bindings
- Recommended for Facebook ecosystem
Alternative considered: GraphQL with subscriptions
- Better for public APIs
- More flexible queries
- Higher overhead
- Recommended for client-facing APIs
Prerequisites
Before running this command:
- Protocol Buffer compiler (protoc) installed
- Language-specific gRPC tools installed
- Understanding of Protocol Buffer syntax
- Service architecture defined
- Authentication strategy determined
Implementation Process
Step 1: Define Service Contract
Create comprehensive .proto files with service definitions and message types.
Step 2: Generate Language Bindings
Compile Protocol Buffers to target language code with gRPC plugins.
Step 3: Implement Service Logic
Build server-side implementations for all RPC methods.
Step 4: Add Interceptors
Implement cross-cutting concerns like auth, logging, and error handling.
Step 5: Configure Production Settings
Set up TLS, connection pooling, and load balancing.
Output Format
The command generates:
- proto/service.proto - Protocol Buffer definitions
- server/ - Server implementation with all RPC methods
- client/ - Client library with connection management
- interceptors/ - Authentication, logging, metrics interceptors
- config/ - TLS certificates and configuration
- docs/api.md - Service documentation
Code Examples
Example 1: E-commerce Service with All RPC Patterns
// proto/ecommerce.proto
syntax = "proto3";
package ecommerce.v1;
import "google/protobuf/timestamp.proto";
import "google/protobuf/empty.proto";
// Service definition with all RPC patterns
service ProductService {
// Unary RPC
rpc GetProduct(GetProductRequest) returns (Product);
// Server streaming
rpc ListProducts(ListProductsRequest) returns (stream Product);
// Client streaming
rpc ImportProducts(stream Product) returns (ImportSummary);
…// server/main.go - Go server implementation
package main
import (
"context"
"crypto/tls"
"fmt"
"io"
"log"
"net"
"sync"
"time"
pb "github.com/company/ecommerce/proto"
"github.com/golang/protobuf/ptypes/empty"
"google.golang.org/grpc"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/credentials"
…Example 2: Python Client with Retry and Load Balancing
# client/product_client.py
import grpc
import asyncio
import logging
from typing import List, Optional, AsyncIterator
from concurrent import futures
from grpc import aio
import backoff
from proto import ecommerce_pb2 as pb
from proto import ecommerce_pb2_grpc as pb_grpc
logger = logging.getLogger(__name__)
class ProductClient:
"""Enhanced gRPC client with retry, load balancing, and connection pooling."""
def __init__(
…Example 3: Node.js Implementation with Health Checking
// server/index.js
const grpc = require('@grpc/grpc-js');
const protoLoader = require('@grpc/proto-loader');
const path = require('path');
// Load proto file
const PROTO_PATH = path.join(__dirname, '../proto/ecommerce.proto');
const packageDefinition = protoLoader.loadSync(PROTO_PATH, {
keepCase: true,
longs: String,
enums: String,
defaults: true,
oneofs: true
});
const protoDescriptor = grpc.loadPackageDefinition(packageDefinition);
const ecommerce = protoDescriptor.ecommerce.v1;
… Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Generate Grpc Service?
Generate Grpc Service is a slash command for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Generate production-ready gRPC services with Protocol Buffers
How do I install Generate Grpc Service in Claude Code?
Download generate-grpc-service.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.
Can I use Generate Grpc Service in Claude Cowork?
Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.
Is Generate Grpc Service safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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