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latte-review-guide

Automate systematic literature reviews with AI agents for screening and data extraction.

Updated Jun 12, 2026
Search Tags:#systematic review#literature review#PRISMA#AI review#LatteReview
One-click install
npx skills add https://github.com/flowel/AiSkills --skill latte-review-guide
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: latte-review-guide
Source: https://github.com/flowel/AiSkills/tree/main/skills/codex/paper-review-skills/latte-review-guide
Command: npx skills add https://github.com/flowel/AiSkills --skill latte-review-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires latte-review, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Automates systematic literature reviews, saving researchers time by handling tasks like title/abstract screening, full-text assessment, and PRISMA-compliant reporting.

Core Features & Use Cases

  • Automated Screening: Screen papers using AI agents with configurable criteria.
  • Data Extraction: Extract structured data from papers.
  • Reporting: Generate PRISMA-compliant reports.
  • Use Case: Use the Skill to automate a literature review process for a research project in medical imaging.

Quick Start

Create a new review project using LatteReview Guide.

Frequently Asked Questions about latte-review-guide

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

FAQPage Schema
How do I automate a systematic literature review using AI agents?▼

To automate a systematic literature review, you can use AI agents to screen scientific papers and extract structured data. This Skill automates title/abstract screening, full-text assessment, and generates PRISMA-compliant reports.

Can I generate a PRISMA-compliant report for an AI-assisted literature review?▼

Yes, you can generate a PRISMA-compliant report for an AI-assisted literature review. The Skill automates the reporting process to ensure your systematic review meets PRISMA standards for evidence-based research.

Do I need a Python environment with LatteReview installed to screen papers?▼

Yes, you need a Python environment with LatteReview installed to screen papers. This Skill requires the LatteReview dependency to run AI agents for automated title/abstract screening and full-text assessment.

How do I extract structured data from scientific papers during a systematic review?▼

You extract structured data from scientific papers by configuring AI agents to assess full-text content. The Skill automates this data extraction process, pulling relevant information from papers during your systematic review.

What is the best way to perform automated screening for medical imaging research?▼

The best way to perform automated screening for medical imaging research is using configurable AI agents. This Skill applies directly to researchers performing evidence-based reviews in the medical field, automating the screening criteria.

Are there limitations when using AI to automate systematic reviews?▼

Limitations of using AI to automate systematic reviews include the requirement for a specific Python environment and LatteReview dependency. You must also configure screening criteria appropriately to ensure accurate evidence-based review results.

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