manutej/luxor-claude-marketplace/golang-backend-development
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Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment
Install
npx vskill@latest install manutej/luxor-claude-marketplace/golang-backend-developmentSKILL.md
Go Backend Development
A comprehensive skill for building production-grade backend systems with Go. Master goroutines, channels, web servers, database integration, microservices architecture, and deployment patterns for scalable, concurrent backend applications.
When to Use This Skill
Use this skill when:
- Building high-performance web servers and REST APIs
- Developing microservices architectures with gRPC or HTTP
- Implementing concurrent processing with goroutines and channels
- Creating real-time systems requiring high throughput
- Building database-backed applications with connection pooling
- Developing cloud-native applications for containerized deployment
- Writing performance-critical backend services
- Building distributed systems with service discovery
- Implementing event-driven architectures
- Creating CLI tools and system utilities with networking capabilities
- Developing WebSocket servers for real-time communication
- Building data processing pipelines with concurrent workers
Go excels at:
- Network programming and HTTP services
- Concurrent processing with lightweight goroutines
- System-level programming with garbage collection
- Cross-platform compilation
- Fast compilation times for rapid development
- Built-in testing and benchmarking
Core Concepts
1. Goroutines: Lightweight Concurrency
Goroutines are lightweight threads managed by the Go runtime. They enable concurrent execution with minimal overhead.
Key Characteristics:
- Extremely lightweight (start with ~2KB stack)
- Multiplexed onto OS threads by the runtime
- Thousands or millions can run concurrently
- Scheduled cooperatively with integrated scheduler
Basic Goroutine Pattern:
The go keyword launches a new goroutine, allowing expensiveComputation to run concurrently with anotherExpensiveComputation. This is fundamental to Go's concurrency model.
Common Use Cases:
- Background processing
- Concurrent API calls
- Parallel data processing
- Real-time event handling
- Connection handling in servers
2. Channels: Safe Communication
Channels provide type-safe communication between goroutines, eliminating the need for explicit locks in many scenarios.
Channel Types:
Synchronization with Channels:
This pattern ensures both computations complete before proceeding, with the channel providing both communication and synchronization.
Channel Patterns:
- Producer-consumer
- Fan-out/fan-in
- Pipeline stages
- Timeouts and cancellation
- Semaphores and rate limiting
3. Select Statement: Multiplexing Channels
The select statement enables multiplexing multiple channel operations, similar to a switch for channels.
Timeout Implementation:
Context-Based Cancellation:
4. Context Package: Request-Scoped Values
The context.Context interface manages deadlines, cancellation signals, and request-scoped values across API boundaries.
Context Interface:
Creating Contexts:
Best Practices:
- Always pass context as first parameter:
func DoSomething(ctx context.Context, ...) - Call
defer cancel()immediately after creating cancelable context - Propagate context through call chain
- Check
ctx.Done()in long-running operations - Use context values only for request-scoped data, not optional parameters
5. WaitGroup: Coordinating Goroutines
sync.WaitGroup waits for a collection of goroutines to finish.
Basic Pattern:
Common Use Cases:
- Waiting for parallel tasks
- Coordinating worker pools
- Ensuring cleanup completion
- Synchronizing shutdown
6. Mutex: Protecting Shared State
When shared state is necessary, use sync.Mutex or sync.RWMutex for protection.
Mutex Pattern:
RWMutex for Read-Heavy Workloads:
7. Concurrent Web Server Pattern
Go's standard pattern for handling concurrent connections:
Each accepted connection is handled in its own goroutine, allowing the server to scale to thousands of concurrent connections efficiently.
Web Server Development
HTTP Server Basics
Simple HTTP Server:
Request Handling Patterns
Handler Functions:
Handler Structs:
Middleware Pattern
Logging Middleware:
Authentication Middleware:
Chaining Middleware:
Context in HTTP Handlers
HTTP Request with Context:
Context-Aware HTTP Request:
Routing Patterns
Custom Router:
RESTful API Structure:
Concurrency Patterns
1. Pipeline Pattern
Pipelines process data through multiple stages connected by channels.
Generator Stage:
Processing Stage:
Pipeline Usage:
Buffered Generator (No Goroutine Needed):
2. Fan-Out/Fan-In Pattern
Distribute work across multiple workers and merge results.
Fan-Out: Multiple Workers:
This is the start of the file. Read the full SKILL.md on GitHub.
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Source
- SKILL.md in the repositoryCheckingplugins/luxor-backend-toolkit/skills/golang-backend-development/SKILL.md
Popularity
- Repository stars
- 50
- Repository forks
- 13
- 7-day trend score
- 20
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 8 Apr 2026, 7 months ago.
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