cfd-literature

Retrieve and normalize CFD research papers from Semantic Scholar, OpenAlex, and arXiv into structured JSON.

40|4|Updated Feb 12, 2026

Search Tags:#research #semantic scholar #literature #arxiv #openalex #cfd

Ready to run

npx skills add https://github.com/csml-rpi/AI-CFD-Scientist --skill cfd-literature

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cfd-literature
Source: https://github.com/csml-rpi/AI-CFD-Scientist/tree/main/cfd-skills/cfd-literature
Command: npx skills add https://github.com/csml-rpi/AI-CFD-Scientist --skill cfd-literature

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of efficiently gathering and organizing relevant CFD research papers for literature surveys and literature-informed CFD projects.

Core Features & Use Cases

Automated Literature Search: Fetches relevant CFD papers from Semantic Scholar, OpenAlex, and arXiv based on user-defined topics.
Normalized Data Output: Creates a standardized lit.json file containing key publication details for easy downstream integration.
Use Case: Quickly compile a list of recent high-impact CFD studies related to turbulent flows for a research project.

Quick Start

Use the cfd-literature skill to find recent CFD papers on turbulence by providing a topic string and output directory.

Frequently Asked Questions about cfd-literature

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

FAQPage Schema

How do I retrieve CFD research papers from multiple databases for a literature survey?▼

To retrieve CFD research papers, you query Semantic Scholar, OpenAlex, and arXiv APIs simultaneously. This normalizes publication details into a structured JSON dataset, streamlining literature surveys and research planning without requiring external scripts.

What is the best way to compile a list of recent CFD studies on turbulent flows?▼

The best way to compile recent CFD studies on turbulent flows is using automated literature search across Semantic Scholar, OpenAlex, and arXiv. This normalizes key publication details into a standardized JSON file for easy downstream integration.

How does normalized literature data from arXiv and OpenAlex support CFD research?▼

Normalized literature data from arXiv and OpenAlex supports CFD research by standardizing publication details into a unified JSON format. This eliminates manual formatting, allowing researchers to directly analyze comprehensive literature datasets for project planning.

Do I need external scripts to fetch CFD literature from Semantic Scholar?▼

No, you do not need external scripts to fetch CFD literature from Semantic Scholar. The process directly utilizes the Semantic Scholar API alongside OpenAlex and arXiv to retrieve and normalize papers into a structured JSON dataset automatically.

Can I use a single tool to search arXiv, OpenAlex, and Semantic Scholar for fluid dynamics papers?▼

Yes, you can search arXiv, OpenAlex, and Semantic Scholar for fluid dynamics papers using automated literature retrieval. It queries all three APIs based on a user-defined topic and outputs a standardized JSON dataset for analysis.