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academic-research-suite

Facilitate academic research workflows for literature reviews and paper writing.

Updated Jun 18, 2026
Search Tags:#literature review#academic research#meta-analysis#review process#paper writing
One-click install
npx skills add https://github.com/liujiayi3703/scientific-research-skills --skill academic-research-suite-liujiayi3703
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: academic-research-suite
Source: https://github.com/liujiayi3703/scientific-research-skills/tree/main/library/skills/academic-research-suite
Command: npx skills add https://github.com/liujiayi3703/scientific-research-skills --skill academic-research-suite-liujiayi3703

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, requests, BeautifulSoup, lxml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill Suite addresses the complexities of academic research by providing a comprehensive set of tools for deep research, paper writing, review, and analysis.

Core Features & Use Cases

  • Deep Research: Conduct in-depth research with literature reviews, systematic reviews, and meta-analyses.
  • Paper Writing: Draft and revise academic papers with various features like outlines, abstracts, and citations.
  • Review & Analysis: Peer review simulation, editorial decisions, and analysis of research-to-paper pipelines.
  • Use Case: When a researcher needs to write a comprehensive literature review for their academic paper, they can use the academic-research-suite to organize the review, extract key findings, and synthesize the results.

Quick Start

To initiate a literature review, use the command: /ars-lit-review my research topic.

Frequently Asked Questions about academic-research-suite

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

FAQPage Schema
How do I write a literature review for my academic paper?▼

This suite facilitates paper writing by helping you draft outlines, abstracts, and citations. It streamlines the research-to-paper pipeline, allowing you to synthesize findings and structure your academic manuscript efficiently.

Can I perform a meta-analysis using this academic research suite?▼

Yes, the suite supports peer review simulation and editorial decision analysis. It helps evaluate research-to-paper pipelines by extracting and processing data to simulate the review process effectively.

Do I need external APIs to extract and verify citations for a systematic review?▼

Yes, external APIs are required for literature retrieval and citation verification. The suite integrates Python, Bash, and web APIs to facilitate data extraction and formatting during the systematic review process.

What is the best way to extract data from PDFs for a research-to-paper pipeline?▼

The best way to extract PDF data is using the suite's built-in libraries like pypdf, pdfplumber, and pdf2image. These dependencies enable you to pull text and images from literature for your research pipeline.

Does the academic research suite support peer review simulation and editorial analysis?▼

Yes, the suite supports peer review simulation and editorial decisions. It analyzes the research-to-paper pipeline using Python and Bash, helping you evaluate manuscripts and simulate the editorial process.

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