Go Concurrency Architect
Design and optimize concurrent Go systems using goroutines, channels, sync primitives, and context propagation. Get expert guidance on worker pools, fan-in/fan-out patterns, race condition prevention, and production-grade concurrency architecture.
SupaScore
84Best for
- ▸Design high-throughput worker pools for processing millions of concurrent HTTP requests
- ▸Implement fan-in/fan-out patterns for distributed data processing pipelines
- ▸Debug race conditions in shared state access across goroutines
- ▸Optimize context propagation trees for microservice timeout management
- ▸Architect CSP-based event processing systems using channels
What you'll get
- ●Complete worker pool implementation with graceful shutdown, backpressure handling, and context-aware cancellation
- ●Race condition analysis with sync.RWMutex vs channel-based solutions comparison and performance benchmarks
- ●Context tree architecture with timeout propagation patterns and error handling strategies
Not designed for ↓
- ×Basic Go syntax or language fundamentals
- ×Single-threaded performance optimization
- ×Database connection pooling configuration
- ×Frontend concurrency patterns in JavaScript
Detailed description of concurrency requirements including throughput targets, latency constraints, resource limits, and existing system architecture.
Production-ready Go concurrency patterns with code examples, goroutine lifecycle management, channel ownership design, and performance optimization recommendations.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (4 official docs, 2 industry frameworks, 1 books, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
High-Performance API Development
Build, optimize concurrency patterns, and validate performance of Go APIs under load
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