moai-workflow-ddd

Preserve software behavior during refactoring using the ANALYZE-PRESERVE-IMPROVE cycle.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/globalmsq/solo-relayer-service --skill moai-workflow-ddd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-workflow-ddd
Source: https://github.com/globalmsq/solo-relayer-service/tree/main/.claude/skills/moai-workflow-ddd
Command: npx skills add https://github.com/globalmsq/solo-relayer-service --skill moai-workflow-ddd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams preserve observable software behavior while refactoring large codebases by applying Domain-Driven Development's ANALYZE-PRESERVE-IMPROVE cycle.

Core Features & Use Cases

  • Behavior-preserving refactoring: Map domain boundaries, capture characterization tests, and apply incremental changes without altering external behavior.
  • Structured, auditable workflow: Use AST-Grep-inspired analysis to guide safe transformations and create snapshots for regression verification.
  • Use Case: Long-lived applications undergoing architectural modernization can refactor modules with confidence, keeping APIs stable while improving design.

Quick Start

  1. Start a DDD workflow session against a target codebase to perform ANALYZE-PRESERVE-IMPROVE without changing observable behavior.
  2. Generate characterization tests and behavior snapshots for critical paths, then apply safe, incremental refactorings.
  3. Validate with the full test suite and compare before/after metrics to ensure behavior preservation.

Frequently Asked Questions about moai-workflow-ddd

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

FAQPage Schema
How do I preserve software behavior during large codebase refactoring?

To preserve software behavior during refactoring, you can apply a structured ANALYZE-PRESERVE-IMPROVE cycle that maps domain boundaries and captures characterization tests to ensure external behavior remains unaltered.

How do I safely refactor legacy modules without breaking existing APIs?

Safely refactor legacy modules by generating behavior snapshots for critical paths, then applying incremental changes using AST-Grep-inspired analysis to guide transformations without breaking existing APIs.

What are characterization tests and when do I need them for domain-driven refactoring?

Characterization tests capture the current observable behavior of a system to serve as regression checkpoints. You need them during domain-driven refactoring to verify that incremental design improvements do not alter external functionality.

How does AST-Grep code analysis help with behavior-preserving refactoring?

AST-Grep code analysis guides safe code transformations by parsing the abstract syntax tree to map domain boundaries. This creates structured, auditable snapshots for regression verification during refactoring.

What is the best way to modernize application architecture without changing observable behavior?

The best way to modernize application architecture without changing behavior is to execute a domain-driven workflow that validates the full test suite and compares before/after metrics to ensure behavior preservation.

Can I use domain-driven development for incremental refactoring on long-lived applications?

Yes, domain-driven development is suited for long-lived applications undergoing architectural modernization, allowing you to refactor modules with confidence while keeping APIs stable and improving the internal design.