moai-workflow-loop

Automate code quality improvement with LSP diagnostics, AST-grep scanning, and test validation.

Updated Nov 20, 2025
One-click install
npx skills add https://github.com/soo-kate-yeon/shadowoo --skill moai-workflow-loop-soo-kate-yeon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-workflow-loop
Source: https://github.com/soo-kate-yeon/shadowoo/tree/main/.agents/skills/moai-workflow-loop
Command: npx skills add https://github.com/soo-kate-yeon/shadowoo --skill moai-workflow-loop-soo-kate-yeon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the continuous improvement of code quality by integrating language server diagnostics, security scanning, and test validation into an iterative feedback loop.

Core Features & Use Cases

  • Automated Error Correction: Continuously identifies and fixes code errors and warnings using LSP diagnostics.
  • Security & Quality Scanning: Integrates AST-grep for proactive vulnerability and code quality checks.
  • Use Case: Implement a new feature with a zero-error goal, allowing the AI to automatically fix any introduced bugs or style issues as they are detected, ensuring a clean codebase.

Quick Start

Use the moai-workflow-loop skill to start an automated feedback loop for code quality improvement.

Frequently Asked Questions about moai-workflow-loop

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

FAQPage Schema
How do I automate code quality checks using LSP diagnostics and AST-grep?

An automated feedback loop integrates LSP diagnostics and AST-grep security scanning to continuously identify and fix code errors. This iterative process ensures continuous code refinement and robust application stability.

Can I use AST-grep to automatically fix security vulnerabilities during development?

Yes, AST-grep is integrated into the feedback loop to perform proactive security and code quality scanning. It identifies vulnerabilities and triggers automated fixing workflows to address them immediately.

What is the best way to maintain a zero-error codebase when implementing new features?

The best way to maintain a zero-error codebase is using an automated error correction loop. It continuously detects and resolves introduced bugs or style issues via LSP diagnostics and test validation, ensuring high standards.

Does automated code refinement work without manual review?

Automated code refinement reduces manual review time by using an integrated feedback loop of LSP diagnostics, security scanning, and test validation. It handles continuous error correction, though it exists to support robust stability rather than replace review entirely.

Why integrate test validation into an automated error correction loop?

Integrating test validation into an automated error correction loop ensures that applied fixes do not break existing functionality. It validates changes continuously, satisfying requirements for robust application stability and high code standards.