golang-grpc

$npx mdskill add samber/cc-skills-golang/golang-grpc

Design production-ready gRPC services with correct patterns and error handling.

  • Implements servers, clients, proto files, interceptors, and streaming RPCs.
  • Integrates with Go, protoc, bufconn, and golangci-lint tools.
  • Applies distributed systems principles for correctness and operability.
  • Delivers actionable guidelines for building secure microservices.

SKILL.md

.github/skills/golang-grpcView on GitHub ↗
---
name: golang-grpc
description: "Provides gRPC usage guidelines, protobuf organization, and production-ready patterns for Golang microservices. Use when implementing, reviewing, or debugging gRPC servers/clients, writing proto files, setting up interceptors, handling gRPC errors with status codes, configuring TLS/mTLS, testing with bufconn, or working with streaming RPCs."
user-invocable: false
license: MIT
compatibility: Designed for Claude Code or similar AI coding agents, and for projects using Golang.
metadata:
  author: samber
  version: "1.1.3"
  openclaw:
    emoji: "🌐"
    homepage: https://github.com/samber/cc-skills-golang
    requires:
      bins:
        - go
        - protoc
    install:
      - kind: brew
        formula: protobuf
        bins: [protoc]
allowed-tools: Read Edit Write Glob Grep Bash(go:*) Bash(golangci-lint:*) Bash(git:*) Agent WebFetch mcp__context7__resolve-library-id mcp__context7__query-docs Bash(protoc:*) AskUserQuestion
---

**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

| Concern | Package / Tool |
| --- | --- |
| Service definition | `protoc` or `buf` with `.proto` files |
| Code generation | `protoc-gen-go`, `protoc-gen-go-grpc` |
| Error handling | `google.golang.org/grpc/status` with `codes` |
| Rich error details | `google.golang.org/genproto/googleapis/rpc/errdetails` |
| Interceptors | `grpc.ChainUnaryInterceptor`, `grpc.ChainStreamInterceptor` |
| Middleware ecosystem | `github.com/grpc-ecosystem/go-grpc-middleware` |
| Testing | `google.golang.org/grpc/test/bufconn` |
| TLS / mTLS | `google.golang.org/grpc/credentials` |
| Health checks | `google.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](references/protoc-reference.md)

## 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

```go
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

```go
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`

```go
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.

| Code                 | When to Use                                 |
| -------------------- | ------------------------------------------- |
| `InvalidArgument`    | Malformed input (missing field, bad format) |
| `NotFound`           | Entity does not exist                       |
| `AlreadyExists`      | Create failed, entity exists                |
| `PermissionDenied`   | Caller lacks permission                     |
| `Unauthenticated`    | Missing or invalid token                    |
| `FailedPrecondition` | System not in required state                |
| `ResourceExhausted`  | Rate limit or quota exceeded                |
| `Unavailable`        | Transient issue, safe to retry              |
| `Internal`           | Unexpected bug                              |
| `DeadlineExceeded`   | Timeout                                     |

```go
// ✗ 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

| Pattern | Use Case |
| --- | --- |
| Server streaming | Server sends a sequence (log tailing, result sets) |
| Client streaming | Client sends a sequence, server responds once (file upload, batch) |
| Bidirectional | Both send independently (chat, real-time sync) |

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

```go
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](references/testing.md)

## 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

| Setting | Purpose | Typical Value |
| --- | --- | --- |
| `keepalive.ServerParameters.Time` | Ping interval for idle connections | 30s |
| `keepalive.ServerParameters.Timeout` | Ping ack timeout | 10s |
| `grpc.MaxRecvMsgSize` | Override 4 MB default for large payloads | 16 MB |
| Connection pooling | Multiple conns for high-load streaming | 4 connections |

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

## Common Mistakes

| Mistake | Fix |
| --- | --- |
| Returning raw `error` | Becomes `codes.Unknown` — client can't decide whether to retry. Use `status.Errorf` with a specific code |
| No deadline on client calls | Slow upstream hangs indefinitely. Always `context.WithTimeout` |
| New connection per request | Wastes TCP/TLS handshakes. Create once, reuse — HTTP/2 multiplexes RPCs |
| Reflection enabled in production | Lets attackers enumerate every method. Enable only in dev/staging |
| `codes.Internal` for all errors | Wrong codes break client retry logic. `Unavailable` triggers retry; `InvalidArgument` does not |
| Bare types as RPC arguments | Can't add fields to `string`. Wrapper messages allow backwards-compatible evolution |
| Missing health check service | Kubernetes can't determine readiness, kills pods during deployments |
| Ignoring context cancellation | Long operations continue after caller gave up. Check `ctx.Err()` |

## Cross-References

- → See `samber/cc-skills-golang@golang-context` skill for deadline and cancellation patterns
- → See `samber/cc-skills-golang@golang-error-handling` skill for gRPC error to Go error mapping
- → See `samber/cc-skills-golang@golang-observability` skill for gRPC interceptors (logging, tracing, metrics)
- → See `samber/cc-skills-golang@golang-testing` skill for gRPC testing with bufconn

More from samber/cc-skills-golang

SkillDescription
golang-benchmark"Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while golang-performance provides the optimization patterns."
golang-cli"Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also triggers when code uses cobra, viper, or urfave/cli."
golang-code-style"Golang code style, formatting and conventions. Use when writing code, reviewing style, configuring linters, writing comments, or establishing project standards."
golang-concurrency"Golang concurrency patterns. Use when writing or reviewing concurrent Go code involving goroutines, channels, select, locks, sync primitives, errgroup, singleflight, worker pools, or fan-out/fan-in pipelines. Also triggers when you detect goroutine leaks, race conditions, channel ownership issues, or need to choose between channels and mutexes."
golang-context"Idiomatic context.Context usage in Golang — creation, propagation, cancellation, timeouts, deadlines, context values, and cross-service tracing. Apply when working with context.Context in any Go code."
golang-continuous-integration"Provides CI/CD pipeline configuration using GitHub Actions for Golang projects. Covers testing, linting, SAST, security scanning, code coverage, Dependabot, Renovate, GoReleaser, code review automation, and release pipelines. Use this whenever setting up CI for a Go project, configuring workflows, adding linters or security scanners, setting up Dependabot or Renovate, automating releases, or improving an existing CI pipeline. Also use when the user wants to add quality gates to their Go project."
golang-data-structures"Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals."
golang-database"Comprehensive guide for Go database access. Covers parameterized queries, struct scanning, NULLable column handling, error patterns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use this skill whenever writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite. Also triggers for database testing or any question about database/sql, sqlx, pgx, or SQL queries in Golang. This skill explicitly does NOT generate database schemas or migration SQL."
golang-dependency-injection"Comprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture, setting up dependency injection, refactoring tightly coupled code, managing singletons or service factories, or when the user asks about inversion of control, service containers, or wiring dependencies in Go."
golang-dependency-management"Provides dependency management strategies for Golang projects including go.mod management, installing/upgrading packages, semantic versioning, Minimal Version Selection, vulnerability scanning, outdated dependency tracking, dependency size analysis, automated updates with Dependabot/Renovate, conflict resolution, and dependency graph visualization. Use this skill whenever adding, removing, updating, or auditing Go dependencies, resolving version conflicts, setting up automated dependency updates, analyzing binary size, or working with go.work workspaces."