paper-to-code

Translate papers into implementation roadmaps with modules, data flows, and interfaces.

3|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/JunMA98/Computer-science-claude-skills --skill paper-to-code
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-to-code
Source: https://github.com/JunMA98/Computer-science-claude-skills/tree/main/skills/paper-to-code
Command: npx skills add https://github.com/JunMA98/Computer-science-claude-skills --skill paper-to-code

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Paper-to-code translates a publication's claims, methods, and diagrams into a concrete implementation roadmap, surfacing ambiguities and actionable tasks.

Core Features & Use Cases

  • Convert paper content into modular components, data flows, and interfaces.
  • Produce a baseline plan that supports prototyping, reproduction, and extension.

Quick Start

Provide the paper and constraints and ask for an implementation roadmap.

Frequently Asked Questions about paper-to-code

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

FAQPage Schema
How do I turn a research paper into an executable implementation roadmap?

To turn a research paper into an implementation roadmap, extract the publication's claims, methods, and diagrams to generate modular components, data flows, and interfaces. This process separates stated details from inferred choices to produce a traceable baseline plan.

What is the best way to translate a preprint method description into code modules?

Translating a preprint method description into code modules involves extracting the core techniques and defining a build order. You generate actionable modules and tie milestones to evaluation targets, ensuring a structured transition from academic concepts to executable architecture.

Can I use this approach to generate interfaces and data flows from a paper's architecture?

Yes, you can generate interfaces and data flows from a paper's architecture. By analyzing the publication's stated methods and diagrams, the process surfaces actionable tasks and defines the necessary interfaces to support prototyping and reproduction.

How do I separate stated paper details from inferred implementation choices?

Separating stated details from inferred implementation choices requires mapping the paper's explicit claims against the generated architecture. This ensures the baseline plan clearly distinguishes between what the authors specified and what was inferred to fill technical gaps.

How do I define a build order and milestones for reproducing a paper's baseline?

Defining a build order for reproducing a paper's baseline involves sequencing the extracted modules and data flows. You tie these developmental milestones directly to the evaluation targets stated in the publication to ensure accurate tracking and reproduction.

Does paper-to-code implementation planning work for extending existing methods?

Yes, paper-to-code implementation planning works for extending existing methods. The generated roadmap produces a baseline plan that supports prototyping and reproduction, allowing you to systematically build upon and extend the original architecture.