paper2code-workflow

Convert research papers into code or implementation plans.

Updated Apr 5, 2026

Search Tags:#software development #code generation #algorithm implementation #research paper analysis #paper to code

Ready to run

npx skills add https://github.com/tony-ng-vn/Resume-agent --skill paper2code-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper2code-workflow
Source: https://github.com/tony-ng-vn/Resume-agent/tree/main/.agents/skills/paper2code-workflow
Command: npx skills add https://github.com/tony-ng-vn/Resume-agent --skill paper2code-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires paper2code, python, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of converting research papers into actionable code or implementation plans, streamlining the process from planning to coding stages.

Core Features & Use Cases

Paper to Code: Converts research papers into implementation plans or code repositories.
Planning and Analysis: Assists in outlining the necessary steps and understanding the paper's content.
Code Generation: Automates the generation of code based on the paper's findings.
Evaluation: Compares generated code with the original paper for accuracy.
Use Case: Ideal for researchers or developers looking to implement algorithms described in academic papers.

Quick Start

Run the paper2code-workflow skill with the research paper 'transformer.pdf' to generate a code implementation.

Frequently Asked Questions about paper2code-workflow

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

FAQPage Schema

How do I convert a research paper into executable code?▼

To convert a research paper into code, provide the document to the paper2code workflow. It analyzes the paper's findings and generates an actionable code repository or implementation plan using a structured planning and code generation process.

What is the paper to code conversion process for algorithm implementation?▼

The paper to code process involves analyzing the research paper, outlining implementation steps, generating code, and evaluating the output against the original document. This structured workflow ensures accurate algorithm implementation from academic publications.

Do I need Python and numpy to implement algorithms from research papers?▼

Yes, Python and numpy are required dependencies for this paper to code workflow. You need these libraries installed in your environment to successfully generate and run the code implementations derived from the research paper analysis.

Can I generate an implementation plan instead of full code from a research paper?▼

Yes, converting research papers can yield either full code repositories or structured implementation plans. The workflow assists in outlining the necessary steps and understanding the paper's content before proceeding to actual code generation.

How does paper to code evaluation compare generated code with the original research?▼

Paper to code evaluation compares the generated implementation against the original research paper to verify accuracy. This step ensures that the algorithm implementation correctly reflects the findings and methodology described in the source document.

What are the limitations of automated code generation from research papers?▼

Automated code generation from research papers targets software engineering and research roles but may require manual refinement. The intermediate implementation depth means complex algorithms might need additional human review to ensure full functional accuracy.