lit-review-team

Orchestrate a multi-agent team to synthesize Computer Science literature reviews.

1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/Asonjay/claude-skills --skill lit-review-team
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lit-review-team
Source: https://github.com/Asonjay/claude-skills/tree/main/skills/lit-review-team
Command: npx skills add https://github.com/Asonjay/claude-skills --skill lit-review-team

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 comprehensive literature reviews in Computer Science, from paper discovery to synthesized findings.

Core Features & Use Cases

  • Automated Paper Analysis: Reads and extracts structured summaries from research papers (PDFs, ArXiv).
  • Terminology Scaffolding: Explains complex concepts and builds a glossary with prerequisite chains.
  • Thematic Synthesis: Writes a coherent, flowing literature review organized by themes, not just paper-by-paper.
  • Use Case: Kickstart your next research paper by having an AI team read dozens of relevant papers, explain key concepts, and draft a related work section for you.

Quick Start

Use the lit-review-team skill to conduct a literature review using the plan located at ./plans/my-review.md.

Frequently Asked Questions about lit-review-team

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

FAQPage Schema
How do I automate a literature review from ArXiv papers?

You can automate a literature review by orchestrating a multi-agent team to process ArXiv papers, extract structured summaries, and synthesize thematic findings. The team manages roles like Reader and Synthesizer to produce coherent reviews.

Can I generate a thematic literature review instead of paper-by-paper summaries?

Yes, thematic literature reviews organize synthesized findings by theme rather than listing paper-by-paper summaries. A dedicated Synthesizer agent ensures the final output flows coherently across extracted concepts and structured summaries.

What's the best way to explain complex terminology when reviewing CS research papers?

Terminology scaffolding explains complex concepts by building a glossary with prerequisite chains during CS research paper analysis. The Scaffolder agent role handles extraction and explanation to maintain consistent understanding across the review.

Does automated literature review work for Computer Science research specifically?

Automated literature review is designed specifically for Computer Science research, processing papers to extract structured summaries and explain domain terminology. The multi-agent team enforces strict artifact chains and validation steps tailored for CS synthesis.

Do I need a plan file to start an automated literature review?

Yes, you need a plan file to start the automated literature review. The multi-agent team uses this plan to orchestrate paper processing, manage agent roles, and enforce the artifact chains required for consistent output.