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Literature Review

A structured framework for conducting academic literature reviews, from planning your search strategy through final synthesis. Walks you through the PICO framework for research questions, covers major databases like PubMed and Semantic Scholar with Boolean search patterns, and provides screening workflows with PRISMA diagrams. Includes citation format templates for APA, Nature, and Vancouver styles, plus quality assessment tools like Cochrane Risk of Bias. The thematic organization tables and comparison matrices are genuinely useful for keeping track of findings across dozens of papers. Best suited for systematic reviews where you need methodological rigor, though it works fine for narrative reviews too if you ignore the heavy process bits.

skills.sh installs
343
GitHub stars
7
last updated
Aug 21, 2026

Install

$ npx -y skills add eyadsibai/ltk --skill literature-review --agent claude-code

Installs into .claude/skills of the current project.

Files

Literature Review Guide

Conduct comprehensive, systematic literature reviews using academic databases.

When to Use

  • Conducting systematic literature reviews
  • Synthesizing research on a topic
  • Writing literature review sections
  • Identifying research gaps
  • Building bibliographies

Core Workflow

Phase 1: Planning

  1. Define Research Question (PICO framework for clinical)

    • Population, Intervention, Comparison, Outcome
  2. Establish Scope

    • Review type: narrative, systematic, scoping
    • Time period, geographic scope
    • Study types to include
  3. Develop Search Strategy

    • Key terms and synonyms
    • Boolean operators (AND, OR, NOT)
    • Database-specific syntax

Phase 2: Searching

Key Databases:

DatabaseCoverage
PubMedBiomedical, life sciences
arXivPhysics, CS, math preprints
Semantic ScholarBroad academic
Google ScholarBroad coverage
Web of ScienceMultidisciplinary

Search Strategy Template:

(term1 OR synonym1) AND (term2 OR synonym2) AND (term3)

Sponsors

Details

Repository
github.com/eyadsibai/ltk
Categories
Git & Pull Requests, Code Review & Quality, Data Science & ML
First seen
Jun 3, 2026

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