ng:prompt-extractor

Analyze project directories to reconstruct prompt sequences from vibe-coded projects.

Updated Aug 23, 2026

Search Tags:#reporting #prompt-engineering #reverse-engineering #ai-prompts #prompt-extractor #vibe-coded

Ready to run

npx skills add https://github.com/huunghiaish/ng-skills --skill ng-prompt-extractor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ng:prompt-extractor
Source: https://github.com/huunghiaish/ng-skills/tree/main/ng-prompt-extractor
Command: npx skills add https://github.com/huunghiaish/ng-skills --skill ng-prompt-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Reverse-engineer the prompt sequence used to build a vibe-coded project. Analyze original human-written requirements against AI-generated docs and code to produce a reusable, ordered list of prompts.

Core Features & Use Cases

Reconstruct prompt sequences from vibe-coded projects.
Compare original requirements with AI-generated artifacts to identify gaps and dependencies.
Produce a structured prompt plan including order, phase, inputs, outputs, and dependencies for handoff.

Quick Start

Feed a vibe-coded project into the extractor to obtain a reconstructed prompt sequence and a detailed plan.

Frequently Asked Questions about ng:prompt-extractor

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

FAQPage Schema

How do I reverse-engineer prompts from an AI-generated project?▼

Reconstructing a prompt sequence involves mapping original requirements to AI-generated artifacts to produce a reusable, ordered list of prompts. The extractor analyzes the project root and key directories to classify content and determine dependencies among the prompts used.

What is a vibe-coded project and how does prompt extraction work?▼

A vibe-coded project is built using AI-generated code and artifacts. Prompt extraction works by comparing original human-written requirements against these AI outputs to identify gaps, map dependencies, and produce a structured prompt plan suitable for reuse and handoff.

How do I reconstruct the prompt chain used to build my AI application?▼

You reconstruct the prompt chain by feeding the vibe-coded project into the extractor. It analyzes the project structure, classifies content, determines prompt dependencies, and outputs a structured sequence detailing the phase, prompt text, input context, and expected output for each step.

Can I extract a structured prompt plan from existing AI-generated code?▼

Yes, you can extract a structured prompt plan from existing AI-generated code. The tool analyzes your project directories to produce an ordered prompt sequence that includes the phase, prompt text, input context, expected output, and a final report for handoff.

What format does the reconstructed prompt sequence output use?▼

The reconstructed prompt sequence outputs a structured format that includes the phase, prompt text, input context, and expected output for each step. It also generates a final report detailing dependencies among prompts, making it suitable for project handoff and reuse.

Does the prompt extractor require original requirements to analyze dependencies?▼

Yes, the prompt extractor requires original human-written requirements to compare against AI-generated docs and code. This comparison is necessary to accurately identify gaps, classify content, determine dependencies among prompts, and reconstruct the end-to-end prompt chain.