modernize-reimagine

Mines legacy specifications and generates an AI-native design with a structured spec.

15|6|Updated May 7, 2026
One-click install
npx skills add https://github.com/MinhThang1009/dotclaude --skill modernize-reimagine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: modernize-reimagine
Source: https://github.com/MinhThang1009/dotclaude/tree/main/plugins/code-modernization/skills/modernize-reimagine
Command: npx skills add https://github.com/MinhThang1009/dotclaude --skill modernize-reimagine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams extract actionable specifications from legacy systems and reimagine them as AI-native architectures, enabling a clean transition from old to modern designs.

Core Features & Use Cases

  • Conducts specification mining (business rules, interfaces, domain entities) and outputs a structured AI_NATIVE_SPEC.md capturing capabilities, domain model, interface contracts, and nonfunctional requirements.
  • Performs HITL checkpoints and architecture critique to align stakeholder expectations before scaffolding and implementation.
  • Spawns parallel agents to generate an end-to-end modernized design, create project scaffolds, and define executable acceptance tests, ensuring traceability from legacy to modern system.

Quick Start

Provide the legacy system identifier and target vision to start the multi-agent modernization workflow.

Frequently Asked Questions about modernize-reimagine

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

FAQPage Schema
How do I modernize legacy systems into AI-native architectures?

To modernize legacy systems into AI-native architectures, you provide a legacy system identifier and target vision. A multi-agent team then mines specifications to extract a formal AI-native spec and generate executable project scaffolding.

What is AI-native specification mining for legacy codebases?

AI-native specification mining extracts business rules, interfaces, and domain entities from legacy codebases. It outputs a structured AI_NATIVE_SPEC.md capturing capabilities, domain models, and interface contracts for modernization.

Can I enforce human-in-the-loop checkpoints during legacy system modernization?

Yes, you can enforce human-in-the-loop checkpoints during legacy modernization. The workflow integrates HITL checkpoints and architecture critique sessions to align stakeholder expectations before scaffolding and implementation.

Does the modernization workflow generate executable tests for the new architecture?

Yes, the modernization workflow generates executable tests. It spawns parallel agents to create end-to-end modernized designs, project scaffolds, and executable acceptance tests ensuring traceability from legacy to modern systems.

What is the best way to transition legacy interfaces to a modern domain model?

The best way to transition legacy interfaces to a modern domain model is using a coordinated multi-agent team. It targets legacy interfaces and core domain entities to produce a complete spec and reimagined architecture.