go-senior-developer

Provide senior-level Go architecture and performance guidance for large-scale services.

21|1|Updated Jan 8, 2026
One-click install
npx skills add https://github.com/metalagman/agent-skills --skill go-senior-developer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go-senior-developer
Source: https://github.com/metalagman/agent-skills/tree/main/go-senior-developer
Command: npx skills add https://github.com/metalagman/agent-skills --skill go-senior-developer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Senior Go teams often wrestle with architecture choices, concurrency patterns, and performance in large-scale systems. This skill provides expert guidance on architecture, API-first design, advanced concurrency, performance tuning, testing/quality, and production tooling.

Core Features & Use Cases

  • Architecture & design guidance for modular, scalable Go services (clean architecture, domain-driven design).
  • Advanced concurrency patterns, safe parallelism, worker pools, context management, and performance profiling.
  • Testing, quality gates, CI/CD readiness, and tooling recommendations for production-grade Go apps.
  • Use Case: Apply to a large microservice to align its architecture, concurrency, and testing with production requirements.

Quick Start

Ask the AI to draft a high-level Go architecture plan for a new microservice following clean architecture principles.

Frequently Asked Questions about go-senior-developer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a scalable Go microservice following clean architecture principles?

To design a scalable Go microservice, apply clean architecture and domain-driven design principles to separate business logic from infrastructure. This approach ensures modular components, maintainable code boundaries, and production-ready service structures for large-scale workloads.

What is the best way to manage high-concurrency workloads in Go services?

Managing high-concurrency workloads in Go requires advanced concurrency patterns, safe parallelism, and worker pools. Proper context management is critical for controlling goroutine lifecycles and preventing resource leaks in large-scale production environments.

How do I set up performance profiling and instrumentation for a Go application?

Performance profiling and instrumentation for Go applications involve evaluating tooling to identify bottlenecks in high-concurrency workloads. This process assesses deployment readiness and ensures architectural governance meets production-grade quality requirements.

What testing and quality gates are needed for production-grade Go CI/CD pipelines?

Production-grade Go CI/CD pipelines require comprehensive testing, quality gates, and tooling assessments to validate deployment readiness. These quality requirements ensure large-scale services maintain architectural governance and safe parallelism across releases.

Does this senior Go guidance apply to API-first design for large microservices?

Yes, this senior Go guidance directly applies to API-first design and large-scale microservices. It aligns architecture, concurrency patterns, and testing with production requirements, satisfying architectural governance and deployment readiness.