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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
eyadsibai avatar

Literature Review

eyadsibai/ltk
335 installs7 stars
Summary

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.

Install to Claude Code

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

Installs into .claude/skills of the current project.

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create and run specialised agents in minutes
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Files
SKILL.md

Select a file.

Featured
CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
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create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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one prompt install →
Categories
Git & Pull RequestsCode Review & QualityData Science & ML
First SeenJun 3, 2026
View on GitHub

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