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moai-workflow-testing

Manage Python software development lifecycle with pytest, pylint, bandit, and mypy.

Updated Feb 2, 2026
Search Tags:#testing#code review#performance#debugging#refactoring#ai#ddd
One-click install
npx skills add https://github.com/CJ-1981/excel-processor --skill moai-workflow-testing-cj-1981
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-workflow-testing
Source: https://github.com/CJ-1981/excel-processor/tree/main/.claude/skills/moai-workflow-testing
Command: npx skills add https://github.com/CJ-1981/excel-processor --skill moai-workflow-testing-cj-1981

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, context7-client, rope, ast-visitor, pylint, flake8, bandit, mypy, playwright, playwright-lighthouse, axe-playwright, mutmut, pytest-watch, uv, and includes scripts (resource) and references (resource) and modules (resource) components.

What problem does it solve?

This Skill streamlines the entire software development lifecycle, from initial coding and testing to debugging, performance optimization, and code review, ensuring high-quality, robust, and efficient software delivery.

Core Features & Use Cases

  • AI-Powered Debugging: Intelligently identifies and suggests fixes for code errors.
  • DDD Testing: Manages the full Domain-Driven Design testing cycle (Analyze, Preserve, Improve) with AI assistance.
  • Performance Optimization: Profiles code, detects bottlenecks, and suggests AI-driven optimizations.
  • Automated Code Review: Applies the TRUST 5 framework (Truthfulness, Relevance, Usability, Safety, Timeliness) for comprehensive code quality analysis.
  • Use Case: A developer can use this Skill to automatically generate characterization tests for legacy code, refactor it safely, optimize its performance, and ensure it meets strict quality and security standards 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 run a Domain-Driven Design testing cycle for a Python project?▼

Domain-Driven Design testing is managed through a full cycle of Analyze, Preserve, and Improve phases, using AI assistance to validate domain logic and integrate with pytest for Python projects.

Can I automate code review and security analysis using pytest and bandit?▼

Automated code review applies the TRUST 5 framework for quality, while bandit integration handles security analysis, combining with pylint and mypy to evaluate Python code before merging pull requests.

What is the best way to profile code and detect performance bottlenecks in Python?▼

Performance optimization profiles Python code to detect bottlenecks and suggests AI-driven optimizations, ensuring high-quality and efficient software delivery throughout the development lifecycle.

Does this AI-powered debugging workflow support legacy code refactoring?▼

AI-powered debugging supports legacy code by automatically generating characterization tests, allowing you to safely refactor code while ensuring it meets strict quality and security standards.

How do I generate characterization tests for legacy Python code?▼

You can generate characterization tests for legacy code by running the AI-assisted DDD cycle, which preserves existing behavior during refactoring and validates outputs using pytest.

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