ai-agent

Efficient Data with Protobuf

Name: Efficient Data with Protobuf
Author: protocolbuffers

Serialize data with Protocol Buffers.

71,687 stars16,203 forksC++Guide quality 8/10Updated 8/5/2026100% free · open source

What it does

Protocol Buffers is a language-neutral, platform-neutral, extensible way to serialize structured data, allowing for efficient and robust data exchange between systems.

When to use it

•When building a microservices architecture and needing a common data format for communication between services
•When working with large amounts of structured data and needing to optimize storage and transfer efficiency
•When integrating with third-party systems that support Protocol Buffers

Ready-to-paste prompt

protoc --cpp_out=. --proto_path=. example.proto

Heads up: The 'protoc' compiler requires a .proto file as input, which must be defined in Protocol Buffers syntax, for example: 'syntax = "proto3"; message Person { string name = 1; int32 age = 2; }'

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/protobuf && curl -fsSL https://workflowstacks.com/api/skills/protobuf/claude-skill -o ~/.claude/skills/protobuf/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Efficient Data with Protobuf works

Codeflow

Free to inspect

Efficient Data with Protobuf is a very large C++ project (~699k lines across 2334 code files, plus 487 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size

Very large codebase

~699k lines · 2334 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

C++

No API keys detected

C++ 38%C# 20%C 12%Java 11%Objective-C 7%

What happens, step by step

Data is efficiently processed

You give

User data

1Install Protobuf

Install protocol compiler and runtime

WORKSPACE

2Compile Data

Compile .proto files

generate_descriptor_proto.sh

3Build Runtime

Build protobuf runtime

CMakeLists.txt

4Process Data

Process structured data

You get

Processed data

Where to start reading

1
README.md
Start here — what it does and how to install it
2
src/README.md
Inside src/ — the main logic begins here
3
examples/.bazelrc
A worked example — copy this to get going

What's in each folder

src/Core code — the actual logic838 files

pkg/Core code — the actual logic9 files

docs/Documentation43 files

examples/Examples you can copy30 files

java/Folder375 files

upb/Folder348 files

csharp/Folder281 files

python/Folder220 files

READMEHas testsDocumentedCI checksExamples includedOther licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/protobuf && curl -fsSL https://workflowstacks.com/api/skills/protobuf/claude-skill -o ~/.claude/skills/protobuf/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

protocolbuffers

Language

C++

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