swe-programming-golang

Generate Go code following ose-primer repository standards and idioms.

3|1|Updated Apr 18, 2026
One-click install
npx skills add https://github.com/wahidyankf/ose-primer --skill swe-programming-golang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swe-programming-golang
Source: https://github.com/wahidyankf/ose-primer/tree/main/.claude/skills/swe-programming-golang
Command: npx skills add https://github.com/wahidyankf/ose-primer --skill swe-programming-golang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of inconsistent Go code generated by AI agents by providing a quick, centralized reference for the ose-primer repository's specific Go coding standards, idioms, best practices, and antipatterns, eliminating the need for agents to parse full documentation for common coding decisions.

Core Features & Use Cases

  • Quick Reference Standards: Covers Go naming conventions, modern Go 1.18+ features (generics, error wrapping, struct embedding), error handling, concurrency, testing, and security practices tailored to the repository.
  • Authoritative Source Alignment: All standards are pulled directly from the repository's official Go documentation, ensuring generated code matches existing codebase patterns.
  • Use Case: When an AI agent is tasked with writing a new Go microservice for the crud-* scaffolding, this Skill ensures the code follows the repository's required conventions for naming, error handling, and testing, reducing review cycles and integration issues.

Quick Start

Invoke the swe-programming-golang skill to generate a new Go service function that adheres to the repository's coding standards, error handling, and testing requirements.

Frequently Asked Questions about swe-programming-golang

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

FAQPage Schema
How do I ensure AI agents generate idiomatic Go code that matches my repository's coding standards?

To ensure AI agents generate idiomatic Go code, you need a centralized reference for repository-specific standards covering naming conventions, modern Go 1.18+ features, error handling, and testing to eliminate inconsistent code generation.

What Go coding standards should AI agents follow when writing microservices in a monorepo?

AI agents writing Go microservices in a monorepo should follow standards covering naming conventions, generics, struct embedding, error wrapping, concurrency, and security practices pulled directly from the repository's official documentation.

How do I reduce code review cycles for AI-generated Go services?

Reduce code review cycles for AI-generated Go services by enforcing authoritative coding standards during generation, ensuring the output adheres to required naming, error handling, and testing conventions for seamless codebase integration.

Does this Go code generation skill apply to any repository or just specific monorepos?

This Go code generation skill applies specifically to the ose-primer monorepo, applying tailored coding standards and demo-specific patterns to ensure generated code adheres to that repository's authoritative documentation.

What's the best way to standardize AI-generated Go code for modern features like generics and error wrapping?

Standardize AI-generated Go code by providing agents with a quick reference for modern Go 1.18+ features, including generics, error wrapping, and struct embedding, ensuring consistent application across the codebase.

Why does my AI agent produce inconsistent Go code across different microservices?

AI agents produce inconsistent Go code when lacking a centralized standards reference; providing repository-specific idioms and antipatterns eliminates the need for agents to parse full documentation for common coding decisions.