reverse-deep-logic-architecture

Reverse-engineer deep-logic architecture elements into a standardized Markdown report.

52|3|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill reverse-deep-logic-architecture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reverse-deep-logic-architecture
Source: https://github.com/ZTE-AICloud/Co-OmniSpec/tree/main/skills/reverse-deep-logic-architecture
Command: npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill reverse-deep-logic-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill automates the reverse-assembly of deep-logic architecture elements from a codebase, producing a standardized logic_architecture.md that can be used for design audits and onboarding.

Core Features & Use Cases

  • Detects deep logic architecture components in a repository and generates a canonical Markdown report at {REPO_ROOT}/omni-doc/on-demand/logic_architecture.md for quick consumption.
  • Caches results to speed up re-runs and supports on-demand re-generation when the repository changes.
  • Works when triggered with reverse --target deep_logic_architecture to produce the logic architecture artifact for architecture reviews.

Quick Start

Trigger the reverse deep-logic-architecture flow by running reverse --target deep_logic_architecture with your repository scope and analysis options.

Frequently Asked Questions about reverse-deep-logic-architecture

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

FAQPage Schema
How do I generate architecture documentation from an existing codebase?

To generate architecture documentation from an existing codebase, trigger the reverse deep-logic-architecture flow to automatically analyze repository code and produce a standardized logic_architecture.md report for design audits and onboarding.

What is reverse-engineering deep-logic architecture used for?

Reverse-engineering deep-logic architecture is used to extract hidden architectural components from a codebase, generating a canonical Markdown report that provides immediate architectural visibility for design reviews and onboarding.

Does the reverse deep-logic-architecture analysis support incremental updates for changed repositories?

Yes, the reverse deep-logic-architecture analysis supports incremental updates by caching results to speed up re-runs and allowing on-demand re-generation of the logic architecture artifact when the repository changes.

How do I trigger the reverse deep-logic-architecture flow for a specific repository scope?

To trigger the reverse deep-logic-architecture flow, run the command reverse --target deep_logic_architecture while specifying your repository scope and analysis options to generate the on-demand architectural artifacts.

What specific files are generated when reverse-engineering logic architecture?

Reverse-engineering logic architecture generates a standardized {REPO_ROOT}/omni-doc/on-demand/logic_architecture.md report and an optional {REPO_ROOT}/omni-doc/on-demand/logic_architecture.cache-status.md file to track analysis state.

Why should I use automated reverse-engineering for architecture documentation instead of manual analysis?

Automated reverse-engineering for architecture documentation uses a sub-agent to detect deep logic components quickly, eliminating manual analysis overhead and producing a consistent, canonical Markdown format for immediate consumption.