reverse-engineering:analysis

Analyze a codebase feature and generate an AI implementation prompt in analysis.md.

Updated May 31, 2025

Search Tags:#documentation #codebase #analyze #feature-analysis #reverse-engineering #ai-prompt #prompt-generation

Ready to run

npx skills add https://github.com/dEitY719/dotfiles --skill reverse-engineering-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reverse-engineering:analysis
Source: https://github.com/dEitY719/dotfiles/tree/main/claude/skills/reverse-engineering-analysis
Command: npx skills add https://github.com/dEitY719/dotfiles --skill reverse-engineering-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes a specific feature or component in a codebase and generates a ready-to-use AI implementation prompt that can be pasted into any AI coding assistant to reproduce the feature in another project.

Core Features & Use Cases

Deep feature analysis: identify core logic, data flows, and dependencies to create a reusable prompt.
AI-prompt generation: produce a copy-pasteable prompt that encodes implementation details and requirements.
Quick reuse in new projects: output designed to be dropped into new repositories with minimal modification.

Quick Start

Provide a feature path and optional output directory; the tool will generate an analysis.md in the specified location.

Frequently Asked Questions about reverse-engineering:analysis

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

FAQPage Schema

How do I generate an AI prompt from an existing codebase feature?▼

To generate an AI prompt from a codebase feature, the tool analyzes the specified feature path to extract core logic and dependencies, producing an analysis.md file containing a copy-pasteable AI implementation prompt for immediate use.

What is reverse engineering a feature into an AI implementation prompt?▼

Reverse engineering a feature into an AI implementation prompt involves examining existing codebase logic and data flows to create a detailed prompt that encodes implementation requirements for reproducing that feature in a new project.

Does the feature analysis work with any programming language or framework?▼

Yes, the feature analysis applies to any programming language or framework, accepting a feature name or file path to map out key libraries and generate an implementation prompt.

How do I document codebase logic for quick reuse in new projects?▼

You document codebase logic for reuse by running an analysis on the target feature, which outputs an analysis.md file containing an overview, file map, and a ready-to-use prompt designed for new repositories.

What is included in the analysis output when reverse engineering a codebase?▼

The analysis output includes an analysis.md file containing an Overview, Key Libraries, How It Works, File Map, and the AI Implementation Prompt to ensure comprehensive feature reproduction.