skills.rest
FrancyJGLisboa
FrancyJGLisboaCOMMUNITY
Explore all skills by this author →
GitHub

Article-to-Prototype Skill

Convert technical articles into runnable code prototypes with tests and documentation.

2.2k|248|Updated Oct 18, 2025
Search Tags:#code generation#multi-language#technical documentation#article to code#prototype generation#pdf extraction#algorithm implementation
One-click install
npx skills add https://github.com/FrancyJGLisboa/agent-skill-creator --skill article-to-prototype-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Article-to-Prototype Skill
Source: https://github.com/FrancyJGLisboa/agent-skill-creator/tree/main/article-to-prototype-cskill
Command: npx skills add https://github.com/FrancyJGLisboa/agent-skill-creator --skill article-to-prototype-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyPDF2, pdfplumber, requests, beautifulsoup4, trafilatura, nbformat, mistune, anthropic, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Manually translating complex algorithms, architectures, or methodologies from technical articles (PDFs, web pages, Jupyter notebooks, Markdown) into functional code is a time-consuming and error-prone process. This skill automates that translation, allowing you to go from "paper to prototype" in minutes, not days.

Core Features & Use Cases

  • Multi-Format Extraction: Seamlessly extracts technical content from diverse sources including PDF documents, web pages, Jupyter notebooks, and Markdown files, preserving structure and code blocks.
  • Intelligent Analysis: Automatically detects algorithms, architectural patterns, dependencies, and infers the domain of the content to guide accurate code generation.
  • Multi-Language Generation: Generates production-quality, runnable prototypes in various programming languages such as Python, JavaScript/TypeScript, Rust, Go, and Julia, complete with tests and documentation.
  • Use Case: Provide a research paper on a new machine learning algorithm in PDF format. The skill will extract the algorithm's logic and generate a runnable Python prototype, allowing you to experiment with the code immediately.

Quick Start

1. Install dependencies (if not already done)

cd article-to-prototype-cskill pip install -r requirements.txt

2. Then, use in Claude Code

"Extract algorithm from paper.pdf and implement in Python" "Create prototype from https://example.com/tutorial"

Frequently Asked Questions about Article-to-Prototype Skill

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

FAQPage Schema
How do I convert a research paper or technical article into working code?▼

Article-to-prototype extraction automates translation of PDFs, web pages, and notebooks into runnable code. It analyzes algorithms and patterns from your source document, then generates production-ready implementations in Python, JavaScript, Rust, Go, or Julia within minutes instead of days.

What file formats can I extract code from?▼

The skill processes PDFs, web pages, Jupyter notebooks, and Markdown files. It preserves document structure and code blocks during extraction, supporting multi-format sources so you can feed it research papers, tutorials, and technical documentation regardless of original format.

Can I generate prototypes in multiple programming languages?▼

Yes. The skill generates production-quality prototypes in Python, JavaScript/TypeScript, Rust, Go, and Julia. Each output includes complete implementations, tests, and documentation, letting you experiment with algorithms across your preferred language stack.

Do I need to manually parse PDFs or extract code blocks myself?▼

No. The skill handles multi-format extraction automatically using PyPDF2 and pdfplumber for PDFs, plus web scraping and notebook parsing. It detects algorithms, dependencies, and domain context without manual preprocessing, reducing setup time to just specifying your source document.

What happens if the article contains complex algorithms or architectural patterns?▼

Intelligent analysis automatically detects algorithms, design patterns, and dependencies embedded in your source material. The skill infers domain context and technical requirements, then generates code that reflects these patterns accurately, ensuring prototypes capture the original methodology.

Is this suitable for machine learning papers and research implementations?▼

Yes. Common use cases include extracting ML algorithms from research papers in PDF format and generating runnable Python prototypes immediately. The skill automates what normally takes days of manual implementation, enabling rapid experimentation with novel techniques.

Related Skills

Explore More Software Engineering Skills→
yananlongyananlong

exposition-to-notebook

Convert textual expositions and LaTeX into runnable Jupyter notebooks.

Community
Intermediate
Starchild-ai-agentStarchild-ai-agent
1

@554/publish-test

Test the automated skill publishing pipeline with a Python verification script.

Official
Basic
valtterimelkkovaltterimelkko
1

webfetch-skill

Extract clean markdown content from web pages using trafilatura.

Community
Intermediate
mwguerramwguerra
35

article-writer

Write technical articles with runnable examples, web research, and translations.

Community
Advanced