Article-to-Prototype Skill

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"