Does it require an existing reference implementation?

No. While it can optionally search for reference code to improve quality, its primary directive is to treat the original paper specifications as the ultimate source of truth.

What is the benefit of the YAML intermediate step?

The YAML representation acts as a structured blueprint, ensuring that all hyperparameters, data flows, and architectural components are correctly identified before code generation begins.

How does Paper2Code handle complex mathematical equations?

It utilizes a dedicated Algorithm Extraction phase that maps equations and pseudocode into a YAML specification, ensuring mathematical accuracy before the final code implementation.

Can I use direct arXiv links with this skill?

Yes, Paper2Code supports arXiv landing page URLs and direct PDF links; it automatically downloads the paper and converts it to text for processing.

Paper2Code

Name: Paper2Code
Author: proyecto26

byproyecto26

•

데이터 과학 및 ML

Converts research papers from arXiv URLs or PDF files into functional, executable code through a structured multi-stage pipeline.

Paper2Code is a specialized Claude Code skill designed to bridge the gap between academic research and practical implementation. By following a rigorous 4+2 stage process, it extracts algorithms, analyzes architectural concepts, and generates a detailed implementation plan using YAML intermediate representations before writing any code. This structured approach ensures that the resulting codebase accurately reflects the original paper's specifications, including complex hyperparameters and equations, making it an essential tool for researchers and developers looking to reproduce state-of-the-art results with high fidelity.

주요 기능

01Multi-phase pipeline including reference search, concept analysis, and planning

02Automated extraction of algorithms, equations, and pseudocode from PDF/arXiv

03Structured YAML-based intermediate representation for implementation accuracy

04Automatic paper-to-text conversion for seamless processing of academic documents

05Incremental, file-by-file code generation focused on executability and reproduction

0614 GitHub stars

사용 사례

01Reproducing experimental results from newly published machine learning research

02Building functional prototypes based on state-of-the-art AI architectures

03Implementing complex mathematical algorithms directly from academic journals

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add proyecto26/sherlock-ai-plugin paper2code

For use in Claude.ai and ChatGPT

Download Skill