lit-review

Search, classify, and map citations across economics literature.

4|Updated May 3, 2026
One-click install
npx skills add https://github.com/zbsaygin/econ-skills --skill lit-review-zbsaygin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lit-review
Source: https://github.com/zbsaygin/econ-skills/tree/main/lit-review
Command: npx skills add https://github.com/zbsaygin/econ-skills --skill lit-review-zbsaygin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires websearch-tools, bibtex-parser, nlp-classifier, and includes references (resource) and scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill helps researchers efficiently explore, classify, and synthesize economics literature related to their research questions, identifying gaps and assessing novelty.

Core Features & Use Cases

  • Literature Exploration: Conduct broad keyword and commentary searches across multiple sources, including academic and policy content.
  • Classification & Screening: Automatically classify papers by relevance, methodology, and topical fit based on abstracts and metadata.
  • Citation Chain Building: Follow citations forward and backward from key papers to map the literature network.
  • Deep Reading & Summarization: Read and extract detailed insights from selected papers to evaluate their relevance and contributions.
  • Gap and Novelty Assessment: Synthesize findings to precisely identify literature gaps, risks of overlap, and strategic framing.
  • Adversarial Review: Critically challenge the gap claims to ensure robustness of the research positioning.

Quick Start

To begin, input your research topic and optional papers, then initiate broad keyword searches across academic and policy sources to start mapping the literature landscape.

Frequently Asked Questions about lit-review

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

FAQPage Schema
How do I automate literature review and gap analysis for economics research papers?

Automated literature review and gap analysis uses keyword searches, citation chain tracking, and NLP classification to map economics papers, summarize insights, and identify research gaps by screening abstracts for relevance and methodology to build structured summaries.

What is citation mapping and how does it work for research synthesis?

Citation mapping for research synthesis tracks references forward and backward from key papers to build a literature network. It classifies papers by methodology and relevance, extracting detailed insights to evaluate contributions and assess novelty.

Does this literature review tool work with bibtex citations and websearch sources?

Yes, literature review tools can parse bibtex citations and integrate websearch-tools to conduct broad keyword and commentary searches across academic and policy sources, enabling automated screening, classification, and deep reading of selected papers.

How do I critically evaluate research positioning and novelty in a literature review?

Critically evaluating research positioning involves adversarial review to challenge gap claims, ensuring robustness. By synthesizing findings from deep reading and citation mapping, you assess overlap risks and strategically frame your economics research.

What are the limitations of automated NLP classification for literature screening?

Automated NLP classification for literature screening relies on abstracts and metadata, which may miss nuanced methodological details or context. It requires adversarial validation to critically challenge gap claims and ensure robust research positioning.