lit-review

Plans, collects, synthesizes, and documents academic research articles for structured literature reviews.

42|7|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/neuromechanist/research-skills --skill lit-review-neuromechanist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lit-review
Source: https://github.com/neuromechanist/research-skills/tree/main/plugins/manuscript/skills/lit-review
Command: npx skills add https://github.com/neuromechanist/research-skills --skill lit-review-neuromechanist

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the process of organizing, synthesizing, and critically analyzing academic literature, helping researchers produce structured review documents efficiently.

Core Features & Use Cases

  • Multi-Phase Workflow Management: Guides users through phases from defining angles to writing citation-grounded direction papers.
  • Corpus Organization: Assists in collecting and categorizing papers into research strands with appropriate metadata and license compliance.
  • Synthesis and Gap Analysis: Provides templates and structure for creating thematic ontologies, maps, and identifying research gaps systematically.
  • Use Case: Suppose you're conducting a systematic review on neuroinformatics methods; this Skill helps you organize papers, synthesize findings, and prepare direction documents aligned with formal reporting standards.

Quick Start

Use the lit-review skill to generate an initial collection outline for a review on neural data analysis techniques.

Frequently Asked Questions about lit-review

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

FAQPage Schema
How do I structure a literature review for academic research synthesis?

Structure a literature review by guiding multi-phase workflows from defining research angles to organizing citation-grounded direction papers. It provides templates for thematic ontologies and maps while ensuring adherence to formal reporting guidelines, giving you a systematically documented academic review.

What is the best way to conduct gap analysis in a systematic literature review?

Conduct gap analysis by applying structured templates to map collected research strands and identify thematic ontologies. This process systematically highlights research gaps within your academic workflow, ensuring traceability and clear identification of underexplored areas for your direction documents.

How do I collect and categorize research articles into research strands?

Collect and categorize research articles by organizing your paper corpus into distinct research strands with appropriate metadata. This ensures license compliance and provides a structured foundation for traceability, allowing you to systematically synthesize findings across multi-phase review workflows.

Can I use structured reporting guidelines for a neuroinformatics systematic review?

Yes, you can use structured reporting guidelines for a neuroinformatics systematic review. The workflow ensures adherence to discipline-specific structures and formal reporting standards, helping you organize papers, synthesize methods, and prepare direction documents with traceable citations.

What are the limitations of automated research synthesis workflows?

Automated research synthesis workflows require discipline-specific structural inputs and do not replace critical analysis. They facilitate organization, gap identification, and structured reporting, but users must manually ensure metadata accuracy, license compliance, and the critical evaluation of cited literature.