lit-review

Systematize literature review planning, searching, screening, and synthesis.

Updated Jan 13, 2026
One-click install
npx skills add https://github.com/MrGKanev/agent-skills --skill lit-review-mrgkanev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lit-review
Source: https://github.com/MrGKanev/agent-skills/tree/main/my-skills/lit-review
Command: npx skills add https://github.com/MrGKanev/agent-skills --skill lit-review-mrgkanev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides researchers through rigorous, transparent literature reviews across multiple databases, ensuring reproducible methodology and high-quality synthesis.

Core Features & Use Cases

  • Structured planning: define research questions, selection criteria, and data extraction templates.
  • Multi-database searches: coordinate queries across PubMed, arXiv, bioRxiv, Semantic Scholar, and more.
  • Transparent reporting: produce PRISMA-style documentation and reproducible data extraction records.
  • Use cases: academic reviews, policy briefs, or method-focused literature mapping.

Quick Start

Define your review question and criteria, plan a search, and begin screening and data extraction using a structured template.

Frequently Asked Questions about lit-review

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

FAQPage Schema
How do I conduct a systematic literature review across multiple databases?

A systematic literature review across multiple databases requires structured planning, coordinated search queries across platforms like PubMed and arXiv, transparent screening, and reproducible synthesis. This Skill systematizes that entire workflow to ensure rigorous documentation.

What is the best way to generate PRISMA flow documentation for a research review?

Generating PRISMA flow documentation requires tracking search queries, screening results, and inclusion stages transparently. This Skill produces PRISMA-style reporting and reproducible data extraction records to document your review methodology systematically.

How do I extract data consistently during systematic review screening?

Data extraction during systematic reviews requires predefined templates to capture findings consistently. This Skill provides structured data extraction templates to ensure reproducible records and standardized thematic synthesis across medical, scientific, or social science domains.

Can I use this for literature mapping in social science domains, or is it only for medical reviews?

Literature mapping in social science domains is fully supported alongside medical and scientific reviews. The Skill applies systematic planning, searching, screening, and thematic synthesis transparently across multiple research domains.

Do I need to manually query PubMed and arXiv before starting a literature review here?

Manual queries across PubMed and arXiv are coordinated within the workflow rather than handled externally. This Skill systematizes multi-database searches to ensure your review question and selection criteria yield reproducible search results.

Why does my literature review lack reproducibility and transparent documentation?

Literature reviews lack reproducibility when search queries, screening criteria, and extraction methods are undocumented. This Skill enforces transparent documentation and structured outputs like PRISMA flows to guarantee methodological rigor.