grpc-protocol

Expert skill for gRPC protocol implementation, debugging, and performance optimization

509 stars

Best use case

grpc-protocol is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Expert skill for gRPC protocol implementation, debugging, and performance optimization

Teams using grpc-protocol should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/grpc-protocol/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/network-programming/skills/grpc-protocol/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/grpc-protocol/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How grpc-protocol Compares

Feature / Agentgrpc-protocolStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Expert skill for gRPC protocol implementation, debugging, and performance optimization

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# gRPC Protocol Skill

Expert skill for gRPC protocol implementation, service definition, and debugging across multiple languages.

## Capabilities

- **Service Definition**: Generate gRPC service definitions and Protocol Buffer schemas
- **Code Generation**: Generate client and server stubs for multiple languages
- **Streaming Debugging**: Debug unary, client-streaming, server-streaming, and bidirectional streaming
- **gRPC-Web Compatibility**: Analyze and configure gRPC-web for browser clients
- **Load Balancing**: Configure gRPC-specific load balancing strategies
- **Interceptors**: Implement client and server interceptors for cross-cutting concerns
- **Testing**: Test gRPC services with grpcurl and other debugging tools
- **Performance Optimization**: Optimize gRPC performance including connection pooling and compression

## Tools and Dependencies

- `protoc` - Protocol Buffer compiler
- `grpcurl` - Command-line gRPC client
- `grpc-web` - gRPC for browser clients
- `buf` - Modern Protocol Buffer tooling
- `evans` - Interactive gRPC client

## Target Processes

- realtime-messaging-system.js (gRPC streaming)
- custom-protocol-design.js (gRPC-based protocols)
- layer7-load-balancer.js (gRPC routing)

## Usage Examples

### Service Definition
```protobuf
service Greeter {
  rpc SayHello (HelloRequest) returns (HelloReply);
  rpc SayHelloStream (HelloRequest) returns (stream HelloReply);
}
```

### Testing with grpcurl
```bash
grpcurl -plaintext localhost:50051 list
grpcurl -plaintext -d '{"name": "World"}' localhost:50051 greeter.Greeter/SayHello
```

### Reflection Debugging
```bash
grpcurl -plaintext localhost:50051 describe greeter.Greeter
```

## Quality Gates

- Protocol Buffer schema validation
- Service reflection verification
- Streaming flow control testing
- Error handling validation
- Performance benchmarking

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