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guynhsichngeodiecguynhsichngeodiec/cc-skills-golang/skills/golang-grpc/SKILL.md

golang-grpc

Skill0 starsChanged 7 months agoMITView on GitHub

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.

We split this skill into the rules it gives an agent

7 rules. 2 are common, 0 are distinctive, and 5 are very specific to this project.

  • 2

    Common

    Most of the 8 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Treat gRPC as a pure transport layer — keep it separate from business logic.

    line 33
  2. Common:

    Use interceptors for cross-cutting concerns (logging, auth, recovery) — keeps business logic clean

    line 60
  3. Very specific:

    Use GracefulStop() with a timeout fallback to Stop() — drains in-flight RPCs while preventing hangs

    line 61
  4. Very specific:

    Use round_robin with headless Kubernetes services via dns:/// scheme

    line 98
  5. Very specific:

    Always return gRPC errors using status.Error with a specific code — a raw error becomes codes.Unknown, telling the client nothing …

    line 124
  6. Common:

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

    line 160
  7. Very specific:

    Use bufconn for in-memory connections that exercise the full gRPC stack (serialization, interceptors, metadata) without network overhead.

    line 175

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
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 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

Download now (ZIP)

  • Other versions11 projects use a version of this.

    Word for word · 3

    1. alexastrum/skl★ 11100% same
    2. poizoncoded/skills★ 2100% same
    3. gccli/skills★ 0100% same

    Wrote their own version · 1

    1. reagin/agent-skills★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

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    Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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