dy-code-go

Generate Go code and unit tests following defined style and testing conventions.

1|Updated Feb 8, 2024

Search Tags:#developer tools #unit testing #code generation #coding standards #go #ai assistant

Ready to run

npx skills add https://github.com/hokix/dotfiles --skill dy-code-go

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dy-code-go
Source: https://github.com/hokix/dotfiles/tree/main/ai/.agents/skills/dy-code-go
Command: npx skills add https://github.com/hokix/dotfiles --skill dy-code-go

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a standardized approach to generating Go code and unit tests with AI assistance, ensuring code quality, maintainability, and adherence to best practices.

Core Features & Use Cases

Code Generation: Generates Go code based on specified requirements.
Unit Test Generation: Creates comprehensive unit tests for Go functions.
Code Review Guidance: Offers a checklist for ensuring code quality and test coverage.
Use Case: When requesting new features or bug fixes in a Go project, use this Skill to ensure the generated code and tests are well-structured, documented, and robust.

Quick Start

Use the dy-code-go skill to generate a Go function that sorts a slice of integers and its corresponding unit tests.

Frequently Asked Questions about dy-code-go

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

FAQPage Schema

How do I generate Go code and unit tests that follow strict coding standards?▼

To generate Go code and unit tests following strict coding standards, you can use an AI assistant to apply structured commenting, rule-based logic, and defined variable naming conventions. This ensures code clarity, testability, and maintainability through predefined style guidelines.

What is the best way to ensure my AI-generated Go functions are testable?▼

The best way to ensure AI-generated Go functions are testable is to enforce comprehensive test case preparation alongside code generation. This approach generates robust unit tests that validate rule-based logic and adhere to specific testing conventions.

Does AI-assisted Go code generation support structured logging and commenting?▼

Yes, AI-assisted Go code generation supports structured logging and commenting. It applies specific style conventions to ensure generated code adheres to defined standards for clarity, maintainability, and structured documentation.

Can I use this approach to review existing Go code for compliance with coding standards?▼

You can use this approach to review existing Go code by applying its code review guidance checklist. This helps ensure your codebase meets requirements for test coverage, rule-based logic, and defined style conventions.

What should I do if my generated Go unit tests do not match my project's naming conventions?▼

If generated Go unit tests do not match your project's naming conventions, you need to align the AI assistant with your specific variable naming and testing rules. Defining these standards ensures subsequent code generation satisfies your project's testability requirements.