# Build Production-Ready Go Systems

Complex Go services require careful concurrency, architecture, testing, and performance decisions. This skill provides focused guidance for maintainable Go 1.21+ systems.

## Install

```bash
npx skillstore add sickn33/golang-pro
```

## Metadata

- Status: approved
- Slug: sickn33-golang-pro
- Skillstore revision: r2
- Version status: missing
- Tree hash: d41681a37aa54da6b70317824d0fd12afbff460a097ce85d5e87f99ed08d889b
- Author: sickn33
- GitHub username: sickn33
- License: MIT
- Repository: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/golang-pro
- Ref: 88a8e9a07f4c54ab105c1c41b6267c287146b07b
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/sickn33-golang-pro
- Manifest: https://skillstore.pages.dev/api/skills/sickn33-golang-pro/manifest

## Capabilities

- Designs goroutine, channel, worker pool, pipeline, cancellation, and graceful shutdown patterns.
- Reviews Go architecture using interfaces, composition, clean architecture, and domain-driven design.
- Guides CPU, memory, garbage collection, database, and network performance analysis.
- Creates testing strategies with table-driven tests, benchmarks, mocks, integration tests, and coverage.
- Advises on HTTP, gRPC, GraphQL, WebSocket, database, caching, and authentication implementations.
- Recommends container, Kubernetes, observability, logging, CI, and production readiness practices.

## Use Cases

- Learn Modern Go Patterns: Understand idiomatic error handling, interfaces, generics, contexts, tests, and project organization through focused examples.
- Review Service Architecture: Evaluate service boundaries, persistence, APIs, observability, deployment, and operational reliability before implementation.
- Improve Production Performance: Use benchmarks, profiles, traces, and concurrency analysis to identify measured improvements.

## Prompt Templates

### Explain a Go Concept

```
Explain [Go concept] for a beginner. Include its purpose, a practical example, common mistakes, and a small testing strategy.
```

### Review Go Code

```
Review this Go code for correctness, idioms, error handling, concurrency safety, and test gaps. Prioritize findings and explain each proposed change.
```

### Design a Concurrent Workflow

```
Design a Go [worker pool or pipeline] for [workload]. Address backpressure, cancellation, error propagation, shutdown, race prevention, and benchmark coverage.
```

### Plan a Production Service

```
Design a production Go service for [requirements]. Cover APIs, data storage, security, observability, deployment, failure handling, profiling, and phased validation.
```

## Limitations

- The skill targets Go 1.21\+ and does not provide equivalent guidance for other languages.
- Recommendations require validation against the actual repository, dependencies, runtime, and deployment environment.
- Performance improvements require measurements from benchmarks, profiles, traces, or production telemetry.
- Security and compliance decisions still require organization-specific review and testing.

## Best Practices

- Provide the Go version, repository context, workload, latency goals, and deployment constraints.
- Request tests, benchmarks, and measurable acceptance criteria with every significant change.
- Validate concurrency with cancellation tests, race detection, stress tests, and clear resource ownership.

## Anti Patterns

- Do not optimize without benchmarks, profiles, traces, or representative production evidence.
- Do not start goroutines without defined ownership, cancellation, error handling, and shutdown behavior.
- Do not accept architecture advice without checking repository conventions and operational constraints.

## Security Audit

- Audited at: 2026-07-24T00:33:07.235\+00:00
- Summary: The single static finding is a false positive caused by benign guidance about simplicity and readability. No network reconnaissance instructions, prompt injection, or other malicious intent were found.

## Stats

- Views: 142
- Downloads: 36
- Favorites: 1
- Popularity score: 0