systematic-literature-review

Automate systematic literature reviews with multi-source search, deduplication, scoring, and LaTeX drafting.

2.6k|247|Updated Feb 12, 2024
One-click install
npx skills add https://github.com/huangwb8/ChineseResearchLaTeX --skill systematic-literature-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: systematic-literature-review
Source: https://github.com/huangwb8/ChineseResearchLaTeX/tree/main/skills/systematic-literature-review
Command: npx skills add https://github.com/huangwb8/ChineseResearchLaTeX --skill systematic-literature-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, requests, numpy, scikit-learn, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Systematic-literature-review automates the end-to-end process of performing rigorous literature reviews, reducing manual effort and increasing reproducibility. It orchestrates AI-driven search, deduplication, relevance scoring, subtopic clustering, and drafting in LaTeX with fixed structural constraints.

Core Features & Use Cases

  • Multi-source search planning: Auto-generates diverse query variants and retrieves from OpenAlex, Semantic Scholar, Crossref, and more.
  • Deduplication & scoring: Merges results, removes duplicates, and scores papers by relevance to the topic, selecting high-quality evidence for synthesis.
  • Structured writing automation: Produces a LaTeX-ready review with fixed sections (摘要/引言/子主题/讨论/展望/结论) and BibTeX-ready references.
  • Export & reproducibility: Outputs PDF/Word and a validation-ready report to support audits and research reproducibility.

Quick Start

Provide a research topic and optional constraints; the skill will perform AI-driven search, deduplication, scoring, selection, and draft a LaTeX-ready document that you can refine into a publishable review.

Frequently Asked Questions about systematic-literature-review

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

FAQPage Schema
How do I automate a systematic literature review and generate a LaTeX document?

Automate a systematic literature review by providing a research topic, which triggers AI-driven search, deduplication, scoring, and drafting to produce a LaTeX-ready document with BibTeX references.

What is the best way to search multiple academic databases like OpenAlex and Semantic Scholar for a review?

The best way to search multiple academic databases is to auto-generate diverse query variants and retrieve results simultaneously from OpenAlex, Semantic Scholar, and Crossref, followed by merging and deduplication.

How do I extract data from academic papers and remove duplicates for a literature synthesis?

Extract data and remove duplicates by merging multi-source search results, scoring papers by relevance, and selecting high-quality evidence for subtopic clustering and final synthesis.

Can I export my literature review to PDF and Word with validation reports?

Yes, you can export your literature review to PDF and Word formats, which also generates a validation-ready report to support research audits and reproducibility.

Does the systematic literature review process support multilingual translation?

Yes, the systematic literature review process supports multilingual translation, allowing you to draft structured reviews in different languages while tracking operational costs.

What fixed structural sections are enforced when drafting a LaTeX-ready literature review?

The LaTeX-ready literature review enforces fixed structural sections including abstract, introduction, subtopics, discussion, outlook, and conclusion to ensure academic formatting compliance.