reversa

Orchestrate legacy system analysis into executable specifications for AI agents.

Updated Feb 27, 2026

Search Tags:#system analysis #AI agent orchestration #legacy systems #executable specifications #analysis framework

Ready to run

npx skills add https://github.com/luisgustavooliveira/skills --skill reversa-luisgustavooliveira

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reversa
Source: https://github.com/luisgustavooliveira/skills/tree/main/reversa
Command: npx skills add https://github.com/luisgustavooliveira/skills --skill reversa-luisgustavooliveira

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the analysis of legacy systems, transforming it into executable specifications ready for AI agents, significantly reducing manual analysis time.

Core Features & Use Cases

Comprehensive System Analysis: Orchestrate the analysis of complex legacy systems.
Executable Specifications: Generate specifications for agents to follow.
Use Case: When a user initiates an analysis with a command like "/reversa", "iniciar análise", or "engenharia reversa", this skill becomes the entry point for the entire analysis process.

Quick Start

Use the 'reversa' skill to start the analysis of your legacy system by typing '/reversa' in your session.

Frequently Asked Questions about reversa

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

FAQPage Schema

How do I analyze a legacy system to generate executable specifications for AI agents?▼

To analyze a legacy system into executable specifications, you need an orchestration framework that systematically extracts system logic and transforms it into deterministic rules for AI agents to follow. This significantly reduces manual analysis time.

What is the best way to start reverse engineering an existing codebase into an analysis framework?▼

Starting reverse engineering of an existing codebase involves initiating an analysis command that triggers an orchestration framework. The framework then processes the legacy system architecture to produce structured, executable specifications.

Does this legacy system analysis framework work with Claude Code and Gemini CLI?▼

Yes, this legacy system analysis framework supports Claude Code, Codex, Cursor, Gemini CLI, and compatible agents. It orchestrates comprehensive system analysis into executable specifications across these platforms.

How do I structure documents and references when orchestrating AI agent analysis of legacy systems?▼

When orchestrating AI agent analysis, structure documents and references using dedicated directories for deterministic tasks, in-depth information, and document storage. This organizes the executable specifications and assets effectively.

Can I use this system analysis approach to reduce manual reverse engineering time?▼

Yes, you can use this system analysis approach to reduce manual reverse engineering time. It streamlines the comprehensive analysis of legacy systems by transforming them directly into executable specifications ready for AI agents.

When should I not use an executable specifications framework for legacy system analysis?▼

You should not use an executable specifications framework for legacy system analysis if your project lacks a compatible AI agent environment like Claude Code or Cursor, or if the system logic cannot be structured into deterministic scripts and references.