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
- Very specific: line 33
Treat gRPC as a pure transport layer — keep it separate from business logic.
- Common: line 60
Use interceptors for cross-cutting concerns (logging, auth, recovery) — keeps business logic clean
- Very specific: line 61
Use GracefulStop() with a timeout fallback to Stop() — drains in-flight RPCs while preventing hangs
- Very specific: line 98
Use round_robin with headless Kubernetes services via dns:/// scheme
- Very specific: line 124
Always return gRPC errors using status.Error with a specific code — a raw error becomes codes.Unknown, telling the client nothing …
- Common: line 160
Prefer streaming over large single messages — avoids per-message size limits and lowers memory pressure.
- Very specific: line 175
Use bufconn for in-memory connections that exercise the full gRPC stack (serialization, interceptors, metadata) without network overhead.
“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.
Files
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
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 toStop()— 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_robinwith headless Kubernetes services viadns:///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.
| 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 |
// ✗ 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.
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.PerRPCCredentialsand 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-contextskill for deadline and cancellation patterns - → See
samber/cc-skills-golang@golang-error-handlingskill for gRPC error to Go error mapping - → See
samber/cc-skills-golang@golang-observabilityskill for gRPC interceptors (logging, tracing, metrics) - → See
samber/cc-skills-golang@golang-testingskill for gRPC testing with bufconn
Other versions11 projects use a version of this.
Word for word · 3
- alexastrum/skl★ 11100% same
- poizoncoded/skills★ 2100% same
- gccli/skills★ 0100% same
Edited · 7
- samber/cc-skills-golang★ 3.6k89% same
- klawisha012/agentsync★ 1890% same
- tstapler/dotfiles★ 889% same
- rockcookies/skills★ 188% same
- VerifiedOrganic/onboard★ 196% same
- imMamdouhaboammar/tiktok-growth-automation-mesh★ 089% same
- rzisso/golang-skills★ 089% same
Wrote their own version · 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.
Used alongsideProjects with it also use golang-google-wire, golang-graphql and 9 more.
Other files people use alongside this one.
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.
alexastrumSkillgolang-google-wire
Compile-time dependency injection in Golang using google/wire — wire.NewSet, wire.Build, wire.Bind (interface→concrete), wire.Struct, wire.Value, wire.InterfaceValue, wire.FieldsOf, cleanup functions, //go:build wireinject injector files, and generated wire_gen.go. Apply when using or adopting google/wire, when the codebase imports `github.com/google/wire`, or when wiring an application graph at compile time via `wire.Build`. For runtime DI with reflection, see `samber/cc-skills-golang@golang-uber-dig` skill.
Also in 6 projects that use this
alexastrumSkillgolang-graphql
Implements GraphQL APIs in Golang using gqlgen or graphql-go. Apply when building GraphQL servers, designing schemas, writing resolvers, handling subscriptions, or integrating GraphQL with existing Go HTTP services. Also apply when the codebase imports `github.com/99designs/gqlgen` or `github.com/graph-gophers/graphql-go`.
Also in 6 projects that use this
rockcookiesSkillgolang-pkg-go-dev
Golang package and module documentation and exploration via `godig`, a pkg.go.dev API client (CLI + MCP server) — package docs, API references, symbols, code examples, available versions, importers (who imports a package), licenses, and known vulnerabilities. Read-only, no auth. Use for looking up any Go/Golang library's documentation, API signatures, usage examples, which versions exist, whether a dependency has CVEs, or who imports a package — prefer this over Context7 for any Go package or module. Triggers on: how to use a Go library, Go API docs, import usage, code examples, pkg.go.dev. Not for upgrading dependencies (→ See `golang-dependency-management` skill) or choosing a library (→ See `golang-popular-libraries` skill). Not for local symbols, or for navigating an already-used dependency's resolved source, call sites, or generic instantiations — → See `golang-gopls` skill for those.
Also in 4 projects that use this
jkeddariSkillgolang-gopls
Golang semantic code intelligence with the official gopls language server: definitions, references, symbols, call and implementation hierarchies, diagnostics, formatting, code actions, safe rename, extract, inline, and package API discovery. Use when navigating or refactoring a local Go workspace or when semantic analysis is safer than text search.
Also in 4 projects that use this
jkeddariSkillgolang-refactoring
Golang refactoring workflow for safe structural change: blast-radius discovery, coverage-adaptive safety nets, semantic rename and extract operations, package moves, import-cycle removal, staged commits, and behavior-preserving verification. Use when restructuring existing Go code without intentionally changing its public behavior.
Also in 4 projects that use this
- +6 more from alexastrum
In this repository35 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- golang-benchmarkSkill
- golang-cliSkill
- golang-code-styleSkill
- golang-concurrencySkill
- golang-contextSkill
- golang-continuous-integrationSkill
- golang-databaseSkill
- golang-data-structuresSkill
- golang-dependency-injectionSkill
- golang-dependency-managementSkill
- golang-design-patternsSkill
- golang-documentationSkill
- golang-error-handlingSkill
- golang-lintSkill
- golang-modernizeSkill
- golang-namingSkill
- golang-observabilitySkill
- golang-performanceSkill
- golang-popular-librariesSkill
- golang-project-layoutSkill
- golang-safetySkill
- golang-samber-doSkill
- golang-samber-hotSkill
- golang-samber-loSkill
- golang-samber-moSkill
- golang-samber-oopsSkill
- golang-samber-roSkill
- golang-samber-slogSkill
- golang-securitySkill
- golang-stay-updatedSkill
- golang-stretchr-testifySkill
- golang-structs-interfacesSkill
- golang-testingSkill
- golang-troubleshootingSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

