agentsclimarketplace

Golang grpc

Skill ulpi-io/plugin-marketplace/plugins/bobmatnyc/skills/golang-grpc

A curated collection of 7,800+ agent skills for Claude Desktop, sourced from skills.sh

Install
npx -y skills add ulpi-io/plugin-marketplace --skill golang-grpc

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Production gRPC in Go: protobuf layout, codegen, interceptors, deadlines, error codes, streaming, health checks, TLS, and testing with bufconn

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

8.3 KB, ~1.8k tokens by cl100k_base, as published. Nobody here has run it

Go gRPC (Production)

Overview

gRPC provides strongly-typed RPC APIs backed by Protocol Buffers, with first-class streaming support and excellent performance for service-to-service communication. This skill focuses on production defaults: versioned protos, deadlines, error codes, interceptors, health checks, TLS, and testability.

Quick Start

1) Define a versioned protobuf API

Correct: versioned package

// proto/users/v1/users.proto
syntax = "proto3";

package users.v1;
option go_package = "example.com/myapp/gen/users/v1;usersv1";

service UsersService {
  rpc GetUser(GetUserRequest) returns (GetUserResponse);
  rpc ListUsers(ListUsersRequest) returns (stream User);
}

message GetUserRequest { string id = 1; }
message GetUserResponse { User user = 1; }
message ListUsersRequest { int32 page_size = 1; string page_token = 2; }

message User {
  string id = 1;
  string email = 2;
  string display_name = 3;
}

Wrong: unversioned package (hard to evolve)

package users;

2) Generate Go code

Install generators:

go install google.golang.org/protobuf/cmd/protoc-gen-go@latest
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest

Generate:

protoc -I proto \
  --go_out=./gen --go_opt=paths=source_relative \
  --go-grpc_out=./gen --go-grpc_opt=paths=source_relative \
  proto/users/v1/users.proto

3) Implement server with deadlines and status codes

Correct: validate + map errors to gRPC codes

package usersvc

import (
    "context"

    "google.golang.org/grpc/codes"
    "google.golang.org/grpc/status"

    usersv1 "example.com/myapp/gen/users/v1"
)

type Service struct {
    usersv1.UnimplementedUsersServiceServer
    Repo Repo
}

type Repo interface {
    GetUser(ctx context.Context, id string) (User, error)
}

type User struct {
    ID, Email, DisplayName string
}

func (s *Service) GetUser(ctx context.Context, req *usersv1.GetUserRequest) (*usersv1.GetUserResponse, error) {
    if req.GetId() == "" {
        return nil, status.Error(codes.InvalidArgument, "id is required")
    }

    u, err := s.Repo.GetUser(ctx, req.GetId())
    if err != nil {
        if err == ErrNotFound {
            return nil, status.Error(codes.NotFound, "user not found")
        }
        return nil, status.Error(codes.Internal, "internal error")
    }

    return &usersv1.GetUserResponse{
        User: &usersv1.User{
            Id:          u.ID,
            Email:       u.Email,
            DisplayName: u.DisplayName,
        },
    }, nil
}

Wrong: return raw errors (clients lose code semantics)

return nil, errors.New("user not found")

Core Concepts

Deadlines and cancellation

Make every call bounded; enforce server-side timeouts for expensive handlers.

Correct: require deadline

if _, ok := ctx.Deadline(); !ok {
    return nil, status.Error(codes.InvalidArgument, "deadline required")
}

Metadata

Use metadata for auth/session correlation, not for primary request data.

Correct: read auth token from metadata

md, _ := metadata.FromIncomingContext(ctx)
auth := ""
if vals := md.Get("authorization"); len(vals) > 0 {
    auth = vals[0]
}

Interceptors (Middleware)

Use interceptors for cross-cutting concerns: auth, logging, metrics, tracing, request IDs.

Correct: unary interceptor with request ID

func unaryRequestID() grpc.UnaryServerInterceptor {
    return func(ctx context.Context, req any, info *grpc.UnaryServerInfo, handler grpc.UnaryHandler) (any, error) {
        id := uuid.NewString()
        ctx = context.WithValue(ctx, requestIDKey{}, id)
        resp, err := handler(ctx, req)
        return resp, err
    }
}

Streaming patterns

Server streaming (paginate or stream results)

Correct: stop on ctx.Done()

func (s *Service) ListUsers(req *usersv1.ListUsersRequest, stream usersv1.UsersService_ListUsersServer) error {
    users, err := s.Repo.ListUsers(stream.Context(), int(req.GetPageSize()))
    if err != nil {
        return status.Error(codes.Internal, "internal error")
    }

    for _, u := range users {
        select {
        case <-stream.Context().Done():
            return stream.Context().Err()
        default:
        }

        if err := stream.Send(&usersv1.User{
            Id:          u.ID,
            Email:       u.Email,
            DisplayName: u.DisplayName,
        }); err != nil {
            return err
        }
    }
    return nil
}

Unary vs streaming decision

  • Use unary for single request/response and simple retries.
  • Use server streaming for large result sets or continuous updates.
  • Use client streaming for bulk uploads with one final response.
  • Use bidirectional streaming for interactive protocols.

Production Hardening

Health checks and reflection

Add health service; enable reflection only in non-production environments.

Correct: health + conditional reflection

hs := health.NewServer()
grpc_health_v1.RegisterHealthServer(s, hs)

if env != "production" {
    reflection.Register(s)
}

Graceful shutdown

Prefer GracefulStop with a deadline.

Correct: graceful stop

stopped := make(chan struct{})
go func() {
    grpcServer.GracefulStop()
    close(stopped)
}()

select {
case <-stopped:
case <-time.After(10 * time.Second):
    grpcServer.Stop()
}

TLS

Use TLS (or mTLS) in production; avoid insecure credentials outside local dev.

Correct: server TLS

creds, err := credentials.NewServerTLSFromFile("server.crt", "server.key")
if err != nil { return err }

grpcServer := grpc.NewServer(grpc.Creds(creds))

Testing (bufconn)

Test gRPC handlers without opening real sockets using bufconn.

Correct: in-memory gRPC test server

const bufSize = 1024 * 1024

lis := bufconn.Listen(bufSize)
srv := grpc.NewServer()
usersv1.RegisterUsersServiceServer(srv, &Service{Repo: repo})

go func() { _ = srv.Serve(lis) }()

ctx := context.Background()
conn, err := grpc.DialContext(
    ctx,
    "bufnet",
    grpc.WithContextDialer(func(context.Context, string) (net.Conn, error) { return lis.Dial() }),
    grpc.WithTransportCredentials(insecure.NewCredentials()),
)
if err != nil { t.Fatal(err) }
defer conn.Close()

client := usersv1.NewUsersServiceClient(conn)
resp, err := client.GetUser(ctx, &usersv1.GetUserRequest{Id: "1"})
_ = resp
_ = err

Anti-Patterns

  • Ignore deadlines: unbounded handlers cause tail latency and resource exhaustion.

  • Return string errors: map domain errors to codes.* with status.Error or status.Errorf.

  • Stream without backpressure: stop on ctx.Done() and handle Send errors.

  • Expose reflection in production: treat reflection as a discovery surface.

Troubleshooting

Symptom: clients see UNKNOWN errors

Actions:

  • Return status.Error(codes.X, "...") instead of raw errors.
  • Wrap domain errors into typed errors, then map to gRPC codes.

Symptom: slow/hanging requests

Actions:

  • Require deadlines and propagate ctx to downstream calls.
  • Add server-side timeouts and bounded concurrency in repositories.

Symptom: flaky streaming

Actions:

  • Stop streaming on ctx.Done() and handle stream.Send errors.
  • Avoid buffering entire result sets before sending.

Resources

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.