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Golang Grpc

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samber
golang-grpc

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.

Overview

Publishersamber
Repositorycc-skills-golang
Skill namegolang-grpc
Stars
3.3K
Forks
213
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by samber on GitHub. Read the source before you install it.

Installation

Install the Golang Grpc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/samber/cc-skills-golang.git /tmp/cc-skills-golang
mkdir -p .claude/skills
cp -r /tmp/cc-skills-golang/skills/golang-grpc .claude/skills/golang-grpc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Grpc in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Golang Grpc on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Golang Grpc is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Dependencies:

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

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 — refer to library documentation and code examples for more information:

  • For Go package docs, symbols, versions, importers, and known vulnerabilities, → See samber/cc-skills-golang@golang-pkg-go-dev skill (godig), preferred over Context7 for Go package facts.
  • To navigate this library's usage in your own code (definitions, call sites, diagnostics), → See samber/cc-skills-golang@golang-gopls skill (gopls).
  • Context7 remains a fallback for docs not indexed on pkg.go.dev.

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
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.

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
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

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.

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

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Golang Grpc AI skill do?

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.

Why use Golang Grpc on TypingMind?

Because you install it once and use it with any model. Golang Grpc is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Golang Grpc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samber/cc-skills-golang/tree/main/skills/golang-grpc. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Golang Grpc?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Golang Grpc?

As many as you like. As long as a model supports skills, you can use Golang Grpc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Golang Grpc AI skill free?

Yes. It is published on GitHub by samber under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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