literature-review

Search scientific databases and synthesize literature into publication-ready documents.

5|1|Updated Jun 7, 2020
One-click install
npx skills add https://github.com/mseok/dot --skill literature-review-mseok
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/mseok/dot/tree/main/ai/codex/skills/literature-review
Command: npx skills add https://github.com/mseok/dot --skill literature-review-mseok

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill enables researchers to perform rigorous literature reviews by coordinating multi-database searches, organizing findings by themes, and ensuring citation accuracy for reproducible results.

Core Features & Use Cases

  • Multi-database search orchestration (PubMed, bioRxiv, arXiv, Semantic Scholar, OpenAlex) to collect relevant literature.
  • Automated deduplication, metadata extraction, and thematic synthesis support for quick reporting.
  • Citation verification workflow with Crossref/DOI validation and formatted references.
  • Professional output generation in Markdown and PDF, including templates and style guidelines.

Quick Start

Provide your research question and let the skill execute multi-database searches, verify citations, and generate a publication-ready literature review.

Frequently Asked Questions about literature-review

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

FAQPage Schema
How do I automate a systematic literature review across multiple academic databases?

Automate a systematic literature review by orchestrating multi-database queries across PubMed, arXiv, bioRxiv, Semantic Scholar, and OpenAlex. The workflow executes searches, extracts metadata, and organizes themes to synthesize findings for scholarly publication.

What is the best way to deduplicate search results and extract metadata for a meta-analysis?

The best way to deduplicate search results for a meta-analysis is using an automated workflow that extracts metadata and organizes thematic synthesis. This ensures quick reporting and reproducible results across multiple queried databases.

How do I verify citations and format references with DOI validation for academic writing?

Verify citations for academic writing by applying a Crossref and DOI validation workflow. This process checks reference accuracy and generates formatted citations directly within the publication-ready output document.

Can I generate a publication-ready literature review in Markdown and PDF directly from search results?

Yes, you can generate publication-ready literature reviews in Markdown and PDF directly from search results. The workflow uses configurable templates and style guidelines to output professional scholarly synthesis documents automatically.

Does this multi-database search workflow require specific Python dependencies to run locally?

Running this multi-database search workflow locally requires the Python requests dependency to execute API calls. It orchestrates queries and processes the returned JSON metadata within its automated scripts.

When do I need an automated scoping review workflow instead of manual database searches?

You need an automated scoping review workflow when coordinating multi-database searches across PubMed, arXiv, and OpenAlex becomes too complex for manual methods. It ensures rigorous thematic synthesis and citation verification for reproducible results.