eduardo-sl

eduardo-sl / go-agent-skills

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Curated AI agent skills for Go projects.

13
1
100% credibility
Found Mar 28, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A curated collection of specialized instructions that teach AI coding assistants to produce high-quality, idiomatic Go code following established best practices.

How It Works

1
💡 Spot the need for better AI help

While coding in Go with your AI assistant, you notice it sometimes suggests code that feels off or not quite right for Go.

2
🔍 Discover Go agent skills

You find this handy collection of tips that teach your AI assistant the best ways to handle Go projects like a seasoned expert.

3
🚀 Add the skills easily

With a simple command or quick download, you pick your favorite AI tool and bring these smart tips right into your project folder.

4
🧑‍💻 Chat with your upgraded AI

Now, when you ask it to review code, fix errors, design features, or write tests, it automatically uses proven Go tricks and checks.

5
✅ Skills kick in automatically

The tips load based on what you're working on, or you can call them directly, making every suggestion spot-on and reliable.

🎉 Code like a pro with AI

Your Go projects turn out cleaner, safer, and more efficient, speeding up your work with an AI that truly gets Go.

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Star Growth

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AI-Generated Review

What is go-agent-skills?

go-agent-skills delivers curated AI agent skills tailored for Go projects, training tools like Claude Code, Cursor, GitHub Copilot, and 37+ others to write idiomatic Go code. It tackles AI-generated Go that mimics Java patterns, skips error wrapping, or leaks goroutines by providing context-specific guidance on style, architecture, testing, and more. Install via a single npx command like `npx skills add eduardo-sl/go-agent-skills`, or use shell scripts for manual setup in any Go repo.

Why is it gaining traction?

This GitHub curated list stands out with self-contained skills that auto-load by context or slash commands like `/go-code-review`, enforcing Uber Go Style Guide and Effective Go best practices without token waste. Unlike generic agent prompts, it includes negative triggers to avoid misfires and verification checklists for reliable output. Developers hook on the one-command global install and easy customization via forking for team conventions.

Who should use this?

Go backend engineers relying on AI agents for code reviews, API design, or concurrency checks in production services. Teams maintaining large-scale Go monorepos who want consistent error handling and table-driven tests without manual babysitting. Solo devs using Cursor or Copilot on greenfield projects needing security audits or performance tweaks.

Verdict

Worth adding to your Go agent's toolkit if you're deep in AI-assisted coding—solid docs and npx integration make it dead simple despite 13 stars and 1.0% credibility score signaling early maturity. Fork and tweak for production; skip if you prefer raw prompts over curated skills.

(187 words)

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