grpc

Designs gRPC services, protobuf schemas, and streaming RPC implementations.

Updated Sep 2, 2026
One-click install
npx skills add https://github.com/Dazlarus/karl-code --skill grpc-dazlarus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: grpc
Source: https://github.com/Dazlarus/karl-code/tree/main/.agents/skills/grpc
Command: npx skills add https://github.com/Dazlarus/karl-code --skill grpc-dazlarus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Building gRPC services correctly requires juggling protobuf schema design, streaming patterns, error codes, and production concerns like deadlines and interceptors. This Skill provides structured guidance and review patterns so your gRPC services follow established best practices from the start. ## Core Features & Use Cases - Protobuf Schema Design: Guidance on writing clean, versioned .proto definitions with explicit field numbers and package versioning. - Streaming RPC Patterns: Reference implementations for server-side, client-side, and bidirectional streaming in Python. - Error Handling & Production Checklist: Proper use of gRPC status codes plus a checklist covering deadlines, compression, keepalive, interceptors, and reflection. - Use Case: You are building a user service with real-time update notifications. Use this Skill to define the protobuf schema, implement server-side streaming for updates, and review the result against the production checklist. ## Quick Start Review my user.proto file and gRPC server implementation for best practices and missing error handling.

Frequently Asked Questions about grpc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement server-side streaming in gRPC with Python?▼

Implement server-side streaming by defining an RPC that returns a stream in your proto file, then yielding responses from a generator in your servicer method. Each yield sends one message to the client, letting you throttle or break the stream as needed.

How do I handle errors with gRPC status codes?▼

Set errors on the servicer context using context.set_code with a StatusCode like NOT_FOUND, plus context.set_details for a human-readable message. Return an empty response message afterward so the client receives the proper status instead of a generic failure.

When should I use gRPC instead of REST?▼

Use gRPC for high-performance service-to-service communication, streaming workloads, and strongly typed contracts via protobuf. Prefer REST for simple CRUD APIs, browser-facing endpoints, or when human-readable payloads and broad tooling support matter more.

What production settings does a gRPC service need?▼

Configure deadlines and timeouts on calls, enable compression for large payloads, set keepalive pings, use connection pooling on clients, and add interceptors for auth and logging. Disable server reflection in production to avoid exposing your service schema.

Why should protobuf messages use explicit field numbers?▼

Explicit field numbers define the binary wire format and must stay stable for backward compatibility. Changing or reusing a number breaks deserialization for existing clients, so numbers are assigned once starting from 1 and never recycled.