Terminal.skills
Skills/protobuf
>

protobuf

You are an expert in Protocol Buffers (protobuf), Google's language-neutral binary serialization format. You help developers define data schemas with `.proto` files, generate typed code for multiple languages, build efficient APIs with gRPC, and handle schema evolution with backward/forward compatibility — achieving 3-10x smaller payloads and 20-100x faster serialization than JSON.

#serialization#grpc#schema#binary#cross-language#performance
terminal-skillsv1.0.0
Works with:claude-codeopenai-codexgemini-clicursor
Source

Usage

$
✓ Installed protobuf v1.0.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Review the open pull requests and summarize what needs attention"
  • "Generate a changelog from the last 20 commits on the main branch"

Information

Version
1.0.0
Author
terminal-skills
Category
Developer Tools
License
Apache-2.0

Documentation

You are an expert in Protocol Buffers (protobuf), Google's language-neutral binary serialization format. You help developers define data schemas with .proto files, generate typed code for multiple languages, build efficient APIs with gRPC, and handle schema evolution with backward/forward compatibility — achieving 3-10x smaller payloads and 20-100x faster serialization than JSON.

Core Capabilities

Proto Schema Definition

protobuf
// proto/user.proto
syntax = "proto3";
package myapp.v1;

import "google/protobuf/timestamp.proto";
import "google/protobuf/field_mask.proto";

option go_package = "github.com/myapp/proto/v1";

message User {
  string id = 1;
  string name = 2;
  string email = 3;
  Role role = 4;
  Address address = 5;
  repeated Post posts = 6;                // Repeated = array
  map<string, string> metadata = 7;       // Map type
  google.protobuf.Timestamp created_at = 8;

  // Oneof — only one field set at a time
  oneof contact {
    string phone = 9;
    string slack_id = 10;
  }

  // Optional (explicit presence tracking)
  optional string bio = 11;
}

enum Role {
  ROLE_UNSPECIFIED = 0;
  ROLE_USER = 1;
  ROLE_ADMIN = 2;
  ROLE_MODERATOR = 3;
}

message Address {
  string street = 1;
  string city = 2;
  string country = 3;
  string zip = 4;
}

message Post {
  string id = 1;
  string title = 2;
  bool published = 3;
}

// Service definition (for gRPC)
service UserService {
  rpc GetUser(GetUserRequest) returns (User);
  rpc ListUsers(ListUsersRequest) returns (ListUsersResponse);
  rpc CreateUser(CreateUserRequest) returns (User);
  rpc UpdateUser(UpdateUserRequest) returns (User);
  rpc DeleteUser(DeleteUserRequest) returns (google.protobuf.Empty);
  rpc StreamUsers(StreamUsersRequest) returns (stream User);
}

message GetUserRequest {
  string id = 1;
}

message ListUsersRequest {
  int32 page_size = 1;
  string page_token = 2;
  string filter = 3;                     // e.g., "role=ADMIN"
}

message ListUsersResponse {
  repeated User users = 1;
  string next_page_token = 2;
  int32 total_count = 3;
}

message CreateUserRequest {
  User user = 1;
}

message UpdateUserRequest {
  User user = 1;
  google.protobuf.FieldMask update_mask = 2;  // Partial updates
}

Usage in TypeScript

typescript
// Generated from proto using protoc or buf
import { UserServiceClient } from "./generated/user_grpc_pb";
import { GetUserRequest, CreateUserRequest, User } from "./generated/user_pb";
import * as grpc from "@grpc/grpc-js";

const client = new UserServiceClient("localhost:50051", grpc.credentials.createInsecure());

// Get user
const req = new GetUserRequest();
req.setId("user-123");

client.getUser(req, (err, response) => {
  if (err) throw err;
  console.log(response.getName());
  console.log(response.getEmail());
  console.log(response.getRole());
});

// Streaming
const stream = client.streamUsers(new StreamUsersRequest());
stream.on("data", (user: User) => console.log(user.getName()));
stream.on("end", () => console.log("Stream ended"));

Schema Evolution Rules

protobuf
// Adding new fields is safe (backward compatible)
message User {
  string id = 1;
  string name = 2;
  string email = 3;
  // NEW: added in v2 — old clients ignore it, new clients get default ""
  string avatar_url = 12;
}

// NEVER: change field numbers
// NEVER: change field types (int32 → string)
// OK: rename fields (wire format uses numbers, not names)
// OK: add new fields with new numbers
// OK: remove fields (but reserve the number)
// OK: convert singular to repeated (compatible for scalar types)

// Reserve removed field numbers to prevent reuse
message User {
  reserved 4, 7;                          // Don't reuse these numbers
  reserved "old_field_name";              // Documentation
}

Installation

bash
# protoc compiler
brew install protobuf

# Buf (modern protobuf toolchain — recommended)
brew install bufbuild/buf/buf
buf generate                              # Generate code from proto files

# Language-specific plugins
npm install @grpc/grpc-js @grpc/proto-loader    # Node.js
go install google.golang.org/protobuf/cmd/protoc-gen-go@latest  # Go
pip install grpcio-tools                  # Python

Best Practices

  1. Field numbers are forever — Never change or reuse field numbers; they're the wire format identity
  2. Reserve removed fields — Use reserved to prevent accidentally reusing deleted field numbers
  3. Use Buf — Use buf CLI instead of raw protoc; linting, breaking change detection, BSR registry
  4. Proto3 defaults — All fields have zero defaults; use optional for explicit presence tracking
  5. Enums start at 0 — Always include UNSPECIFIED = 0 as the first enum value; it's the default
  6. Package versioning — Use package myapp.v1; for API versioning; create v2 package for breaking changes
  7. FieldMask for updates — Use google.protobuf.FieldMask for partial updates; clients specify which fields to change
  8. Backward compatibility — New fields with new numbers are always safe; old clients ignore unknown fields