literature-mentor

Provide interactive, tutor-led analysis of academic papers using Zotero for retrieval.

16|1|Updated Jan 2, 2026
One-click install
npx skills add https://github.com/bahayonghang/my-ai-cli-toolkit --skill literature-mentor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-mentor
Source: https://github.com/bahayonghang/my-ai-cli-toolkit/tree/main/skills/research-learning-knowledge/literature-mentor
Command: npx skills add https://github.com/bahayonghang/my-ai-cli-toolkit --skill literature-mentor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the challenge of superficial academic reading by providing a structured, tutor-like interface that helps researchers in CS, Deep Learning, and Automation fields truly understand complex papers.

Core Features & Use Cases

  • Multi-Mode Reading: Automatically switches between quick-screening, deep-dive tutoring, and research-review modes based on user intent.
  • Zotero Integration: Prioritizes fetching full-text content and existing annotations directly from your Zotero library.
  • Evidence-Based Analysis: Employs a rigorous protocol for narrative judgment, figure-by-figure breakdown, and critical evaluation of claims and assumptions.

Quick Start

Ask the literature mentor to help you read the paper with the title or DOI you are currently investigating.

Frequently Asked Questions about literature-mentor

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

FAQPage Schema
How do I do a deep reading of a deep learning paper?

Deep reading of a deep learning paper involves structured analysis using an interactive mentor that breaks down figures, evaluates claims, and provides tutor-led explanations to ensure rigorous comprehension.

Can I analyze academic papers directly from my Zotero library?

Yes, you can analyze academic papers directly from Zotero by integrating with the library to fetch full-text content and existing annotations for structured reading workflows.

What is the best way to screen multiple research papers quickly?

Screening research papers quickly is best achieved through a rapid screening mode that evaluates core claims and novelty, allowing you to decide if a full deep-dive analysis is necessary.

Does this academic reading workflow support critical research review?

Yes, this academic reading workflow supports critical research review by employing a rigorous protocol to evaluate evidence, calibrate novelty, and assess underlying assumptions in computer science papers.

How do I generate non-incremental follow-up research ideas?

Generating non-incremental follow-up research ideas requires evidence-based academic synthesis and novelty calibration, evaluating a paper's limitations and assumptions to propose genuinely novel directions.