Grpc Expert

This is a solid gRPC implementation guide covering all four communication patterns: unary, server streaming, client streaming, and bidirectional streaming. You get working examples in both Python and Go with proper error handling, interceptors, and timeout configuration. The Protocol Buffer definitions show good practices like using enums, timestamps, and structured request/response messages. Use this when you're building microservices that need efficient RPC communication or when REST feels too heavyweight for service-to-service calls. The streaming examples are especially helpful since that's where gRPC really shines over HTTP/JSON APIs.

skills.sh installs: 180
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill grpc-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

gRPC Expert

Expert guidance for gRPC services, Protocol Buffers, microservices communication, and streaming patterns.

Core Concepts

gRPC Fundamentals

Protocol Buffers (protobuf)
Service definitions
RPC patterns (unary, server streaming, client streaming, bidirectional)
HTTP/2 transport
Code generation
Interceptors and middleware

Communication Patterns

Unary RPC (request-response)
Server streaming RPC
Client streaming RPC
Bidirectional streaming RPC
Deadline/timeout handling
Error handling and status codes

Production Features

Load balancing
Service discovery
Health checking
Authentication (TLS, tokens)
Monitoring and tracing
Retry policies

Protocol Buffer Definition

syntax = "proto3";

package user.v1;

import "google/protobuf/timestamp.proto";

service UserService {
  // Unary RPC
  rpc GetUser(GetUserRequest) returns (GetUserResponse);

  // Server streaming
  rpc ListUsers(ListUsersRequest) returns (stream User);

  // Client streaming
  rpc CreateUsers(stream CreateUserRequest) returns (CreateUsersResponse);

  // Bidirectional streaming
  rpc Chat(stream ChatMessage) returns (stream ChatMessage);
}

SKILL.md on GitHub