literature-review

Conduct structured literature reviews with search strategies and PRISMA-style reporting.

147|32|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/seb1n/awesome-ai-agent-skills --skill literature-review-seb1n
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/seb1n/awesome-ai-agent-skills/tree/main/research-and-knowledge/literature-review
Command: npx skills add https://github.com/seb1n/awesome-ai-agent-skills --skill literature-review-seb1n

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of conducting academic literature reviews, transforming raw research papers into structured, synthesized knowledge.

Core Features & Use Cases

  • Structured Search Strategy: Develops targeted queries for academic databases.
  • Systematic Screening: Applies inclusion/exclusion criteria to filter relevant studies.
  • Data Extraction & Synthesis: Extracts key findings and synthesizes them into narrative reviews with tables.
  • Use Case: A product manager needs to understand the latest research on user engagement metrics for a new feature. This Skill can identify, filter, and summarize the most relevant academic papers, providing a concise overview of current findings and gaps.

Quick Start

Conduct a literature review on LLM evaluation benchmarks published between 2022-2025.

Frequently Asked Questions about literature-review

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

FAQPage Schema
How do I conduct a systematic literature review for academic research?

To conduct a systematic literature review, define a search strategy, apply inclusion and exclusion criteria, extract findings, and synthesize results into a coherent narrative with PRISMA-style reporting.

What is PRISMA-style reporting and when do I need it for a literature review?

PRISMA-style reporting is a systematic review practice that structures literature review screening and synthesis. You need it for academic research, technology landscape analysis, and evidence-based decision making.

How do I apply inclusion and exclusion criteria to filter academic papers?

Apply inclusion and exclusion criteria during systematic screening to filter relevant studies. This process identifies relevant academic papers, ensuring only studies meeting predefined criteria proceed to data extraction.

Can I use a structured literature review for technology landscape analysis?

Yes, a structured literature review supports technology landscape analysis. It develops targeted queries for academic databases, extracts key findings, and synthesizes results into coherent academic reviews for decision making.

What is the best way to synthesize research papers into actionable insights?

The best way to synthesize research papers is through structured data extraction and narrative synthesis. This transforms raw academic papers into actionable insights by identifying current findings and research gaps.

Does this literature review process generate tables for extracted findings?

Yes, the literature review process extracts key findings and synthesizes them into narrative reviews with tables. This structured data extraction organizes raw research papers into coherent academic summaries.