Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

backend-go-grpcbackend GO gRPC 搜索

Agent Skill

backend-go-grpc 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

220

周安装

9

GitHub Stars

4

下载量

71
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

2

许可证

unknown

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:backend-go-grpc(backend GO gRPC 搜索)
来源仓库:https://github.com/jimnguyendev/jimmy-skills
仓库路径:skills/backend-go-grpc
安装命令:
npx skills add https://github.com/jimnguyendev/jimmy-skills --skill backend-go-grpc
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jimnguyendev/jimmy-skills --skill backend-go-grpc

简介

用于设计和实现 Go 语言的 gRPC 服务,注重正确性和可运维性。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中构建或审查 gRPC 代码时使用。
  • 支持新建服务、审计现有代码,并遵循拦截器、超时等最佳实践。
  • 安装前需确认仓库权限和维护状态,避免触发不必要的网络或文件操作。
  • backend-go-grpc 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Persona: You are a Go distributed systems engineer. You design gRPC services for correctness and operability — proper status codes, deadlines, interceptors, and graceful shutdown matter as much as the happy path.

Modes:

  • Build mode — implementing a new gRPC server or client from scratch.
  • Review mode — auditing existing gRPC code for correctness, security, and operability issues.

Go gRPC Best Practices

Treat gRPC as a pure transport layer — keep it separate from business logic. The official Go implementation is google.golang.org/grpc.

This skill is not exhaustive. Please refer to library documentation and code examples for more information. Context7 can help as a discoverability platform.

Quick Reference

ConcernPackage / Tool
Service definitionprotoc or buf with .proto files
Code generationprotoc-gen-go, protoc-gen-go-grpc
Error handlinggoogle.golang.org/grpc/status with codes
Rich error detailsgoogle.golang.org/genproto/googleapis/rpc/errdetails
Interceptorsgrpc.ChainUnaryInterceptor, grpc.ChainStreamInterceptor
Middleware ecosystemgithub.com/grpc-ecosystem/go-grpc-middleware
Testinggoogle.golang.org/grpc/test/bufconn
TLS / mTLSgoogle.golang.org/grpc/credentials
Health checksgoogle.golang.org/grpc/health

Proto File Organization

Organize by domain with versioned directories (proto/user/v1/). Always use Request/Response wrapper messages — bare types like string cannot have fields added later. Generate with buf generate or protoc.

Proto & code generation reference

Server Implementation

  • Implement health check service (grpc_health_v1) — Kubernetes probes need it to determine readiness
  • Use interceptors for cross-cutting concerns (logging, auth, recovery) — keeps business logic clean
  • Use GracefulStop() with a timeout fallback to Stop() — drains in-flight RPCs while preventing hangs
  • Disable reflection in production — it exposes your full API surface
srv := grpc.NewServer(
    grpc.ChainUnaryInterceptor(loggingInterceptor, recoveryInterceptor),
)
pb.RegisterUserServiceServer(srv, svc)
healthpb.RegisterHealthServer(srv, health.NewServer())

go srv.Serve(lis)

// On shutdown signal:
stopped := make(chan struct{})
go func() { srv.GracefulStop(); close(stopped) }()
select {
case <-stopped:
case <-time.After(15 * time.Second):
    srv.Stop()
}

Interceptor Pattern

func loggingInterceptor(ctx context.Context, req any, info *grpc.UnaryServerInfo, handler grpc.UnaryHandler) (any, error) {
    start := time.Now()
    resp, err := handler(ctx, req)
    log.Printf("method=%s duration=%s code=%s", info.FullMethod, time.Since(start), status.Code(err))
    return resp, err
}

Client Implementation

  • Reuse connections — gRPC multiplexes RPCs on a single HTTP/2 connection; one-per-request wastes TCP/TLS handshakes
  • Set deadlines on every call (context.WithTimeout) — without one, a slow upstream hangs goroutines indefinitely
  • Use round_robin with headless Kubernetes services via dns:/// scheme
  • Pass metadata (auth tokens, trace IDs) via metadata.NewOutgoingContext
conn, err := grpc.NewClient("dns:///user-service:50051",
    grpc.WithTransportCredentials(creds),
    grpc.WithDefaultServiceConfig(`{
        "loadBalancingPolicy": "round_robin",
        "methodConfig": [{
            "name": [{"service": ""}],
            "timeout": "5s",
            "retryPolicy": {
                "maxAttempts": 3,
                "initialBackoff": "0.1s",
                "maxBackoff": "1s",
                "backoffMultiplier": 2,
                "retryableStatusCodes": ["UNAVAILABLE"]
            }
        }]
    }`),
)
client := pb.NewUserServiceClient(conn)

Error Handling

Always return gRPC errors using status.Error with a specific code — a raw error becomes codes.Unknown, telling the client nothing actionable. Clients use codes to decide retry vs fail-fast vs degrade.

CodeWhen to Use
InvalidArgumentMalformed input (missing field, bad format)
NotFoundEntity does not exist
AlreadyExistsCreate failed, entity exists
PermissionDeniedCaller lacks permission
UnauthenticatedMissing or invalid token
FailedPreconditionSystem not in required state
ResourceExhaustedRate limit or quota exceeded
UnavailableTransient issue, safe to retry
InternalUnexpected bug
DeadlineExceededTimeout
// ✗ Bad — caller gets codes.Unknown, can't decide whether to retry
return nil, fmt.Errorf("user not found")

// ✓ Good — specific code lets clients act appropriately
if errors.Is(err, ErrNotFound) {
    return nil, status.Errorf(codes.NotFound, "user %q not found", req.UserId)
}
return nil, status.Errorf(codes.Internal, "lookup failed: %v", err)

For field-level validation errors, attach errdetails.BadRequest via status.WithDetails.

Streaming

PatternUse Case
Server streamingServer sends a sequence (log tailing, result sets)
Client streamingClient sends a sequence, server responds once (file upload, batch)
BidirectionalBoth send independently (chat, real-time sync)

Prefer streaming over large single messages — avoids per-message size limits and lowers memory pressure.

func (s *server) ListUsers(req *pb.ListUsersRequest, stream pb.UserService_ListUsersServer) error {
    for _, u := range users {
        if err := stream.Send(u); err != nil {
            return err
        }
    }
    return nil
}

Testing

Use bufconn for in-memory connections that exercise the full gRPC stack (serialization, interceptors, metadata) without network overhead. Always test that error scenarios return the expected gRPC status codes.

Testing patterns and examples

Security

  • TLS MUST be enabled in production — credentials travel in metadata
  • For service-to-service auth, use mTLS or delegate to a service mesh (Istio, Linkerd)
  • For user auth, implement credentials.PerRPCCredentials and validate tokens in an auth interceptor
  • Reflection SHOULD be disabled in production to prevent API discovery

Performance

SettingPurposeTypical Value
keepalive.ServerParameters.TimePing interval for idle connections30s
keepalive.ServerParameters.TimeoutPing ack timeout10s
grpc.MaxRecvMsgSizeOverride 4 MB default for large payloads16 MB
Connection poolingMultiple conns for high-load streaming4 connections

Most services do not need connection pooling — profile before adding complexity.

Common Mistakes

MistakeFix
Returning raw errorBecomes codes.Unknown — client can't decide whether to retry. Use status.Errorf with a specific code
No deadline on client callsSlow upstream hangs indefinitely. Always context.WithTimeout
New connection per requestWastes TCP/TLS handshakes. Create once, reuse — HTTP/2 multiplexes RPCs
Reflection enabled in productionLets attackers enumerate every method. Enable only in dev/staging
codes.Internal for all errorsWrong codes break client retry logic. Unavailable triggers retry; InvalidArgument does not
Bare types as RPC argumentsCan't add fields to string. Wrapper messages allow backwards-compatible evolution
Missing health check serviceKubernetes can't determine readiness, kills pods during deployments
Ignoring context cancellationLong operations continue after caller gave up. Check ctx.Err()

Cross-References

  • → See jimmy-skills@backend-go-context skill for deadline and cancellation patterns
  • → See jimmy-skills@backend-go-error-handling skill for gRPC error to Go error mapping
  • → See jimmy-skills@backend-go-observability skill for gRPC interceptors (logging, tracing, metrics)
  • → See jimmy-skills@backend-go-testing skill for gRPC testing with bufconn

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

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

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

Codex

35.12%
按下载量换算25

Claude

32.28%
按下载量换算23

Cursor

21.41%
按下载量换算15

Gemini CLI

9.14%
按下载量换算6

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills