Does it include unit tests in the generated prototype?

Yes, the skill generates clean, production-quality code that includes a structured test suite (e.g., pytest for Python or Jest for TypeScript).

What input formats does this skill support?

The Article-to-Prototype skill supports a wide range of formats including academic PDFs, web-based blog posts, Jupyter notebooks (.ipynb), and Markdown files.

How does it handle complex mathematical equations in papers?

The skill uses layout analysis and semantic parsing to interpret LaTeX and mathematical notation, translating them into executable algorithmic logic.

Which programming languages can it generate?

It intelligently selects the best language for the task, with native support for Python, JavaScript/TypeScript, Rust, and Go.

Is the generated code documented?

Absolutely. It produces comprehensive README files and inline documentation that link the implementation back to specific sections of the source material.

Article-to-Prototype

Name: Article-to-Prototype
Author: thanhtoan105

bythanhtoan105

•

학습 및 문서화

Transforms technical documentation, academic papers, and blog posts into functional code prototypes and proof-of-concept implementations.

The Article-to-Prototype Skill is an advanced autonomous agent designed to bridge the gap between theoretical research and executable software. By analyzing diverse input formats—including PDFs, Jupyter notebooks, and technical blogs—it identifies core algorithms and architectural patterns to generate high-quality, documented code. The skill intelligently selects the optimal programming language (Python, Rust, Go, or TypeScript) based on the domain requirements, enabling researchers and developers to accelerate their prototyping phase from days to minutes while maintaining strict traceability back to the original source material.

주요 기능

01Multi-format extraction for PDFs, web pages, and Jupyter notebooks

02Intelligent detection of algorithms, pseudocode, and system architectures

031 GitHub stars

04Full project generation including dependencies, tests, and READMEs

05Automated programming language selection based on domain best practices

06Semantic context preservation from source documentation to code

사용 사례

01Rapidly prototyping proof-of-concepts from official API and library documentation

02Implementing complex algorithms from academic research papers on arXiv or IEEE

03Converting technical blog tutorials into fully functional local project structures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thanhtoan105/accounting_erp_chatbot article-to-prototype-cskill

For use in Claude.ai and ChatGPT

Download Skill