moonbit-agent-guide

Guide AI coding agents through MoonBit language syntax and toolchain usage.

6.0k|164|Updated Jul 12, 2022
One-click install
npx skills add https://github.com/loro-dev/loro --skill moonbit-agent-guide-loro-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moonbit-agent-guide
Source: https://github.com/loro-dev/loro/tree/main/skills/moonbit
Command: npx skills add https://github.com/loro-dev/loro --skill moonbit-agent-guide-loro-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill unit provides a comprehensive guide to the MoonBit language and its toolchain, allowing AI coding agents to learn and implement MoonBit projects effectively.

Core Features & Use Cases

  • MoonBit Language Guide: In-depth explanation of the MoonBit language syntax, features, and best practices.
  • Toolchain Documentation: Detailed instructions on using the MoonBit toolchain for building, testing, and running MoonBit applications.
  • Project Layout: Guide to structuring MoonBit projects, including module, package, and file organization.
  • Coding and Layout Rules: Rules for coding and organizing MoonBit projects for maintainability and scalability.
  • Testing Guide: How to write and run tests for MoonBit applications, including snapshot tests and docstring tests.
  • Spec-Driven Development: Overview of spec-driven development in MoonBit, with examples and guidance.
  • API Discovery: How to use moon doc for discovering available APIs in MoonBit.

Quick Start

Use the moonbit-agent-guide skill to integrate MoonBit into your AI coding agent's workflow. Follow the guide within the repository to learn the necessary language syntax and toolchain usage.

Frequently Asked Questions about moonbit-agent-guide

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

FAQPage Schema
How do I use the MoonBit toolchain for AI coding agents?

The MoonBit toolchain for AI coding agents provides comprehensive guides for language syntax, project structure, and testing. It enables AI agents to learn MoonBit implementation and effectively build, test, and run applications.

What is the best way to structure a MoonBit project?

The best way to structure a MoonBit project involves following specific coding and layout rules for modules, packages, and file organization. This ensures maintainability and scalability for AI-driven development workflows.

How do I write and run tests for MoonBit applications?

Testing MoonBit applications involves writing and running snapshot tests and docstring tests. The MoonBit toolchain provides detailed instructions for executing these tests to verify your application logic.

How does API discovery work in MoonBit?

MoonBit API discovery uses the `moon doc` command to explore available APIs within the language. This allows AI coding agents to programmatically find and implement necessary functions for MoonBit projects.

Do I need prior MoonBit knowledge to use this AI agent guide?

Yes, using this guide requires existing knowledge of the MoonBit language and toolchain. It focuses on teaching AI coding agents how to implement MoonBit syntax and project structures rather than teaching the language from scratch.

Can I use spec-driven development with MoonBit?

Yes, MoonBit supports spec-driven development. The guide provides an overview and examples of how to implement spec-driven workflows within your MoonBit projects for better AI-assisted coding.