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Slash Command

Generate Grpc Service

Generate production-ready gRPC services with Protocol Buffers

Type
Slash Command
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

  1. Download generate-grpc-service.md from the repository.
  2. 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.
  3. Run it by typing / followed by its name.

Claude Cowork

  1. Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
  2. In Customize → Skills, click +, then upload the ZIP.
  3. 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:

  1. Protocol Buffer compiler (protoc) installed
  2. Language-specific gRPC tools installed
  3. Understanding of Protocol Buffer syntax
  4. Service architecture defined
  5. 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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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.