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dare-reverse

Generate documentation, flowcharts, and domain models from DARE CLI reverse-engineering artifacts.

Updated Jul 20, 2026
Search Tags:#architecture#code analysis#documentation#legacy code#reverse engineering#dare method
One-click install
npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-reverse
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dare-reverse
Source: https://github.com/darelabs-tech/dare-cli/tree/main/.agents/skills/dare-reverse
Command: npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-reverse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of understanding undocumented legacy software by automating the semantic inference of code purpose, domain logic, and system flow.

Core Features & Use Cases

  • Semantic Inference: Automatically fills in architectural gaps like purpose, domain concepts, and data models.
  • Visual Documentation: Generates Mermaid-based flowcharts and sequence diagrams directly from code structures.
  • Use Case: Use this skill when you have inherited a brownfield project and need to generate a comprehensive IDEIA.md document to understand how the system modules interact before starting new development.

Quick Start

Run the dare-reverse skill to analyze the current project structure and populate the missing architectural documentation in the DARE directory.

Frequently Asked Questions about dare-reverse

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

FAQPage Schema
How do I automate documentation for an undocumented legacy codebase?▼

You can automate legacy code documentation by running semantic analysis on your codebase to infer architectural intent and system behavior. This process generates comprehensive documentation, flowcharts, and domain models to help you understand inherited software structures.

What is semantic code analysis for reverse engineering?▼

Semantic code analysis for reverse engineering is the process of inferring the purpose, domain logic, and data models of existing code. It fills architectural gaps by analyzing code structures to determine how undocumented system modules interact and behave.

Do I need a reverse-facts.json file to generate architecture documentation?▼

Yes, you need a pre-existing reverse-facts.json file generated by DARE CLI artifacts. This file is required to maintain deterministic traceability and confidence reporting when inferring architectural intent and generating domain models.

Can I generate flowcharts and sequence diagrams directly from legacy code?▼

Yes, you can generate Mermaid-based flowcharts and sequence diagrams directly from legacy code structures. The semantic analysis maps your code interactions to visual documentation, making it easier to trace system flow and module behavior.

What is the best way to understand domain logic in a brownfield project?▼

The best way to understand domain logic in a brownfield project is to use semantic inference to automatically identify domain concepts and data models. This generates a comprehensive architectural document detailing how system modules interact before starting new development.

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