systematic-literature-review

Conduct systematic literature reviews following PRISMA 2020 guidelines.

Updated Feb 20, 2026
One-click install
npx skills add https://github.com/yananlong/codex-skills --skill systematic-literature-review-yananlong
Or copy as Structured Prompt for Agent
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Skill: systematic-literature-review
Source: https://github.com/yananlong/codex-skills/tree/main/skills/systematic-literature-review
Command: npx skills add https://github.com/yananlong/codex-skills --skill systematic-literature-review-yananlong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of conducting systematic literature reviews, ensuring rigorous methodology and comprehensive analysis of research publications.

Core Features & Use Cases

  • Full PRISMA 2020 Compliance: Follows core PRISMA guidelines for transparent reporting.
  • Automated Workflow: Manages discovery, deduplication, screening, evidence extraction, synthesis, and confidence grading.
  • Adversarial Stress-Testing: Red-teams conclusions for robustness and identifies potential biases or overgeneralizations.
  • Use Case: A researcher needs to synthesize the state-of-the-art in a specific AI domain. This Skill can be used to discover, screen, and synthesize relevant papers, providing a structured and confidence-graded overview of the evidence.

Quick Start

Use the systematic-literature-review skill to conduct a literature review on the topic of "large language models" within the "artificial intelligence" domain.

Frequently Asked Questions about systematic-literature-review

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

FAQPage Schema
How do I automate a systematic literature review following PRISMA 2020 guidelines?

Automate a systematic literature review by using a workflow that manages paper discovery, deduplication, screening, data extraction, and evidence synthesis. This ensures full PRISMA 2020 compliance while prioritizing peer-reviewed publications over preprints and resolving version conflicts.

What is adversarial stress-testing in evidence synthesis?

Adversarial stress-testing in evidence synthesis red-teams research conclusions to evaluate robustness, identifying potential biases or overgeneralizations. This process ensures confidence grading accurately reflects the reliability of the synthesized literature.

How do I extract data from research papers for a systematic review?

Extract data from research papers for a systematic review through an automated workflow that handles screening and evidence extraction. This process synthesizes findings while assigning confidence grades to evaluate the strength of the extracted evidence.

Can I use an automated tool to deduplicate research papers and resolve version conflicts?

Yes, you can use an automated workflow to deduplicate research papers and resolve version conflicts. This deduplication process operates during the discovery phase, ensuring a clean dataset for screening and prioritizing peer-reviewed publications over preprints.

How do I conduct a literature review that prioritizes peer-reviewed publications over preprints?

Conduct a literature review prioritizing peer-reviewed publications by configuring the automated discovery and screening workflow to filter sources. This methodology resolves version conflicts and assigns confidence grades to synthesize robust evidence.