madflojo

madflojo / go-style-agent-skill

Public

Agent Skill for writing Golang code

16
2
100% credibility
Found Mar 29, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Makefile
AI Summary

A set of opinionated guidelines and reference notes for Go programming best practices, packaged for easy use by coding assistants.

How It Works

1
🔍 Discover the guide

You stumble upon a helpful collection of tips for writing clean, reliable Go programs that your coding assistant can use.

2
📁 Add it to your setup

Copy the guide's folder into your project's special helpers area or your personal one so your assistant can find it.

3
🧠 Unlock expert knowledge

Your coding assistant gains instant access to best practices on code structure, error handling, logging, and more through the go-style-guide.

4
💬 Ask for advice

Chat with your assistant and mention using the go-style-guide for designing, reviewing, or improving Go code.

5
✨ Receive polished suggestions

Your assistant delivers clear, professional recommendations making your code easier to test, maintain, and speed up.

✅ Build better programs

Your Go projects now follow proven patterns, feeling solid and ready for everyday use.

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Star Growth

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AI-Generated Review

What is go-style-agent-skill?

This GitHub repo delivers an agent skill for generating, reviewing, and refactoring Go code with opinionated best practices. Drop it into your agent's skills directory—like for agent GitHub actions, Claude, or Copilot integrations—and it enforces consistent rules on package design, configs, interfaces, errors, logging, docs, and benchmarks. Go teams get production-ready code from AI agents without endless style debates.

Why is it gaining traction?

It stands out by prioritizing testability-first designs, sentinel errors, and app-owned logging over generic advice, making AI outputs maintainable in real repos. Unlike broad agent skills libraries, this one's laser-focused on Go idioms like "accept interfaces, return structs," hooking devs who use agent GitHub Copilot or Anthropic tools for code reviews. The references weave in deep dives on concurrency and layouts, boosting agent accuracy without fluff.

Who should use this?

Go backend engineers building APIs or services, especially those relying on agent GitHub code gen in VSCode or IntelliJ Copilot. Teams refactoring legacy code or enforcing standards via agent skills on GitHub repos will see the most value. Solo devs prototyping with OpenAI or Microsoft agents also benefit from its benchmark and testing checklists.

Verdict

Worth adding to your agent skills repo for Go projects—solid docs and practical focus punch above its 16 stars and 1.0% credibility score. Still early-stage with no tests, so pair it with your team's conventions until it matures.

(178 words)

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