literature-review

Automate systematic literature reviews across academic databases and generate markdown and PDF documents.

8|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/hxk622/TokenDance --skill literature-review-hxk622
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/scientific/writing/literature-review
Command: npx skills add https://github.com/hxk622/TokenDance --skill literature-review-hxk622

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of conducting systematic literature reviews, ensuring rigor, accuracy, and professional output for academic and research purposes.

Core Features & Use Cases

  • Systematic Search: Integrates with multiple academic databases (PubMed, arXiv, Semantic Scholar, etc.) to perform comprehensive searches.
  • Data Extraction & Synthesis: Extracts key data from studies, assesses quality, and synthesizes findings thematically.
  • Citation Verification: Ensures all citations are accurate and properly formatted using multiple styles (APA, Nature, Vancouver, etc.).
  • Professional Output: Generates high-quality markdown documents and PDFs, including AI-generated figures.
  • Use Case: A researcher needs to write the literature review section for a grant proposal on CRISPR gene editing for sickle cell disease. This Skill will search relevant databases, identify key papers, extract data, synthesize findings, verify citations, and produce a well-formatted document with figures.

Quick Start

Use the literature-review skill to conduct a systematic review on the efficacy of CRISPR for sickle cell disease, outputting the results in APA format.

Frequently Asked Questions about literature-review

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

FAQPage Schema
How do I automate a systematic literature review across academic databases?

Automate a systematic literature review by using tools that integrate with PubMed and arXiv to search, extract data, synthesize findings thematically, and verify citations for academic publication.

What is the best way to synthesize academic research and format citations?

The best way to synthesize academic research is to extract key data, assess study quality, and use citation verification tools to format references in styles like APA, Nature, or Vancouver.

Can I generate a literature review PDF with AI-generated figures?

Yes, you can generate a professional literature review PDF with AI-generated figures by synthesizing academic findings and exporting the reviewed data into formatted markdown and PDF documents.

Does this systematic review process support rigorous academic methodology for meta-analysis?

Yes, the systematic review process supports rigorous academic methodology for meta-analysis by comprehensively searching databases, verifying citations, and synthesizing data thematically.

Do I need Python requests to conduct data synthesis for scientific writing?

Yes, you need the Python requests dependency to connect to academic databases for data extraction and data synthesis during the scientific writing process.

Why should I use an automated literature review tool instead of manual academic research?

Use an automated literature review tool to eliminate the time-consuming manual steps of searching databases, extracting data, verifying citation accuracy, and formatting professional publication documents.