moai-workflow-testing

Automate Python testing, debugging, and code review with pytest, pylint, bandit, and mypy.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/jinwoonghong/MESAsim --skill moai-workflow-testing-jinwoonghong
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/jinwoonghong/MESAsim/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/jinwoonghong/MESAsim --skill moai-workflow-testing-jinwoonghong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, pylint, flake8, bandit, mypy, rope, ast, psutil, memory_profiler, context7-client, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates and enhances the entire software development lifecycle, from testing and debugging to performance optimization and code review, significantly reducing manual effort and improving code quality.

Core Features & Use Cases

  • AI-Powered Testing: Automates test generation, execution, and analysis using DDD principles and Context7 patterns.
  • Intelligent Debugging: Identifies root causes of errors and suggests AI-driven solutions.
  • Performance Optimization: Profiles code, detects bottlenecks, and recommends optimizations.
  • Automated Code Review: Enforces code quality using the TRUST 5 framework and static analysis tools.
  • Use Case: A developer can use this Skill to automatically generate characterization tests for legacy code, debug runtime errors with AI suggestions, optimize slow functions, and ensure code quality through automated reviews before merging a pull request.

Quick Start

Use the moai-workflow-testing skill to run a full DDD cycle for the 'user_authentication' feature.

Frequently Asked Questions about moai-workflow-testing

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

FAQPage Schema
How do I automate Python code review and testing using DDD principles?

Automate Python code review and testing by integrating Domain-Driven Design principles with pytest, pylint, and bandit to generate characterization tests and enforce quality. This approach uses the TRUST 5 framework for end-to-end workflow management.

What is the best way to profile and optimize slow Python functions?

Profile and optimize slow Python functions by using memory_profiler and psutil to detect performance bottlenecks. AI-driven analysis then recommends targeted optimizations to reduce memory usage and improve execution speed.

Can I use pylint and mypy together for comprehensive static analysis?

Yes, you can use pylint and mypy together for comprehensive static analysis. Combining pylint for code quality enforcement and mypy for strict type checking ensures robust error detection before runtime execution.

How do I debug runtime errors with AI suggestions in a Python workflow?

Debug runtime errors with AI suggestions by analyzing execution traces to identify root causes automatically. The intelligent debugging mechanism processes the error context and proposes targeted code fixes directly within the workflow.

Does this AI-powered testing workflow support legacy codebases?

Yes, this AI-powered testing workflow supports legacy codebases by automatically generating characterization tests. This ensures existing behavior is documented and validated before refactoring or introducing new Domain-Driven Design patterns.