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grpc-expertgRPC expert 搜索

Agent Skill

grpc-expert 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,154

周安装

88

GitHub Stars

19

下载量

697
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grpc-expert(gRPC expert 搜索)
来源仓库:https://github.com/personamanagmentlayer/pcl
仓库路径:skills/grpc-expert
安装命令:
npx skills add https://github.com/personamanagmentlayer/pcl --skill grpc-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/personamanagmentlayer/pcl --skill grpc-expert

简介

用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/personamanagmentlayer/pcl --skill grpc-expert
  • 安装前建议确认权限范围和维护状态。

SKILL.md

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);
}

message User {
  string id = 1;
  string email = 2;
  string name = 3;
  google.protobuf.Timestamp created_at = 4;
  UserRole role = 5;
}

enum UserRole {
  USER_ROLE_UNSPECIFIED = 0;
  USER_ROLE_USER = 1;
  USER_ROLE_ADMIN = 2;
}

message GetUserRequest {
  string id = 1;
}

message GetUserResponse {
  User user = 1;
}

message ListUsersRequest {
  int32 page_size = 1;
  string page_token = 2;
}

message CreateUserRequest {
  string email = 1;
  string name = 2;
}

message CreateUsersResponse {
  repeated string user_ids = 1;
  int32 created_count = 2;
}

message ChatMessage {
  string user_id = 1;
  string message = 2;
  google.protobuf.Timestamp timestamp = 3;
}

Python gRPC Server

import grpc
from concurrent import futures
import logging
from typing import Iterator

import user_pb2
import user_pb2_grpc

class UserService(user_pb2_grpc.UserServiceServicer):
    def __init__(self):
        self.users = {}

    def GetUser(self, request, context):
        """Unary RPC"""
        user_id = request.id

        if user_id not in self.users:
            context.abort(grpc.StatusCode.NOT_FOUND, f"User {user_id} not found")

        user = self.users[user_id]
        return user_pb2.GetUserResponse(user=user)

    def ListUsers(self, request, context):
        """Server streaming RPC"""
        page_size = request.page_size or 10

        for i, user in enumerate(self.users.values()):
            if i >= page_size:
                break
            yield user

    def CreateUsers(self, request_iterator, context):
        """Client streaming RPC"""
        created_ids = []

        for request in request_iterator:
            user_id = self._generate_id()
            user = user_pb2.User(
                id=user_id,
                email=request.email,
                name=request.name
            )
            self.users[user_id] = user
            created_ids.append(user_id)

        return user_pb2.CreateUsersResponse(
            user_ids=created_ids,
            created_count=len(created_ids)
        )

    def Chat(self, request_iterator, context):
        """Bidirectional streaming RPC"""
        for message in request_iterator:
            # Echo back with modification
            response = user_pb2.ChatMessage(
                user_id="server",
                message=f"Echo: {message.message}",
                timestamp=message.timestamp
            )
            yield response

def serve():
    server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
    user_pb2_grpc.add_UserServiceServicer_to_server(UserService(), server)

    server.add_insecure_port('[::]:50051')
    server.start()
    print("Server started on port 50051")
    server.wait_for_termination()

if __name__ == '__main__':
    logging.basicConfig()
    serve()

Go gRPC Server

package main

import (
    "context"
    "io"
    "log"
    "net"
    "time"

    "google.golang.org/grpc"
    "google.golang.org/grpc/codes"
    "google.golang.org/grpc/status"
    pb "example.com/user/v1"
)

type userServer struct {
    pb.UnimplementedUserServiceServer
    users map[string]*pb.User
}

func (s *userServer) GetUser(ctx context.Context, req *pb.GetUserRequest) (*pb.GetUserResponse, error) {
    user, exists := s.users[req.Id]
    if !exists {
        return nil, status.Errorf(codes.NotFound, "user %s not found", req.Id)
    }

    return &pb.GetUserResponse{User: user}, nil
}

func (s *userServer) ListUsers(req *pb.ListUsersRequest, stream pb.UserService_ListUsersServer) error {
    pageSize := req.PageSize
    if pageSize == 0 {
        pageSize = 10
    }

    count := 0
    for _, user := range s.users {
        if count >= int(pageSize) {
            break
        }

        if err := stream.Send(user); err != nil {
            return err
        }
        count++
    }

    return nil
}

func (s *userServer) CreateUsers(stream pb.UserService_CreateUsersServer) error {
    var userIds []string

    for {
        req, err := stream.Recv()
        if err == io.EOF {
            return stream.SendAndClose(&pb.CreateUsersResponse{
                UserIds:      userIds,
                CreatedCount: int32(len(userIds)),
            })
        }
        if err != nil {
            return err
        }

        userId := generateID()
        user := &pb.User{
            Id:    userId,
            Email: req.Email,
            Name:  req.Name,
        }

        s.users[userId] = user
        userIds = append(userIds, userId)
    }
}

func (s *userServer) Chat(stream pb.UserService_ChatServer) error {
    for {
        msg, err := stream.Recv()
        if err == io.EOF {
            return nil
        }
        if err != nil {
            return err
        }

        response := &pb.ChatMessage{
            UserId:    "server",
            Message:   "Echo: " + msg.Message,
            Timestamp: msg.Timestamp,
        }

        if err := stream.Send(response); err != nil {
            return err
        }
    }
}

func main() {
    lis, err := net.Listen("tcp", ":50051")
    if err != nil {
        log.Fatalf("failed to listen: %v", err)
    }

    s := grpc.NewServer()
    pb.RegisterUserServiceServer(s, &userServer{
        users: make(map[string]*pb.User),
    })

    log.Println("Server listening on :50051")
    if err := s.Serve(lis); err != nil {
        log.Fatalf("failed to serve: %v", err)
    }
}

gRPC Client with Interceptors

import grpc
import user_pb2
import user_pb2_grpc
from typing import Callable

def logging_interceptor(
    method: Callable,
    request,
    call_details: grpc.ClientCallDetails
):
    """Unary-unary interceptor for logging"""
    print(f"Calling method: {call_details.method}")
    print(f"Request: {request}")

    response = method(request, call_details)

    print(f"Response: {response}")
    return response

class UserClient:
    def __init__(self, host: str = 'localhost:50051'):
        # Create channel with interceptor
        self.channel = grpc.insecure_channel(host)
        self.channel = grpc.intercept_channel(
            self.channel,
            logging_interceptor
        )
        self.stub = user_pb2_grpc.UserServiceStub(self.channel)

    def get_user(self, user_id: str) -> user_pb2.User:
        """Call unary RPC"""
        request = user_pb2.GetUserRequest(id=user_id)

        try:
            response = self.stub.GetUser(
                request,
                timeout=5.0  # 5 second timeout
            )
            return response.user
        except grpc.RpcError as e:
            print(f"RPC failed: {e.code()} - {e.details()}")
            raise

    def list_users(self, page_size: int = 10):
        """Call server streaming RPC"""
        request = user_pb2.ListUsersRequest(page_size=page_size)

        try:
            for user in self.stub.ListUsers(request):
                yield user
        except grpc.RpcError as e:
            print(f"RPC failed: {e.code()} - {e.details()}")

    def create_users_batch(self, users: list):
        """Call client streaming RPC"""
        def request_generator():
            for user in users:
                yield user_pb2.CreateUserRequest(
                    email=user['email'],
                    name=user['name']
                )

        try:
            response = self.stub.CreateUsers(request_generator())
            return response
        except grpc.RpcError as e:
            print(f"RPC failed: {e.code()} - {e.details()}")

    def close(self):
        self.channel.close()

Best Practices

Design

  • Use semantic versioning for protobuf packages
  • Design backward-compatible changes
  • Use proper field numbering (never reuse)
  • Include metadata in messages
  • Use enums with explicit UNSPECIFIED value
  • Design for pagination in list operations

Performance

  • Enable HTTP/2 connection pooling
  • Use streaming for large data transfers
  • Implement proper timeouts
  • Use compression for large payloads
  • Batch operations when possible
  • Monitor and tune thread pool sizes

Production

  • Implement health checks
  • Use TLS for secure communication
  • Add authentication/authorization
  • Implement retry policies with backoff
  • Monitor gRPC metrics (latency, errors)
  • Use service discovery for dynamic endpoints

Anti-Patterns

❌ Breaking backward compatibility ❌ No timeout configuration ❌ Ignoring error status codes ❌ Not handling stream cancellation ❌ Over-sized messages ❌ No health checking ❌ Missing authentication

Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.18%
按下载量换算189

OpenCode

22.85%
按下载量换算159

Codex

18.88%
按下载量换算132

Antigravity

13.71%
按下载量换算96

Gemini CLI

7.61%
按下载量换算53

windsurf

3.58%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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