literature-reader

Convert academic PDFs into structured JSON for downstream analysis.

23|4|Updated May 29, 2026
One-click install
npx skills add https://github.com/Eureka39/CARS --skill literature-reader-eureka39
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-reader
Source: https://github.com/Eureka39/CARS/tree/main/modules/literature-reader
Command: npx skills add https://github.com/Eureka39/CARS --skill literature-reader-eureka39

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of deep-reading and deconstructing literature, converting PDF papers into structured JSON for downstream Matrix Engine consumption, streamlining academic research.

Core Features & Use Cases

  • Deep-Reading PDFs: Converts PDF papers into structured Markdown reports using Gemini multimodal capabilities.
  • Deconstruction: Parses structured Markdown reports into JSON, ready for Matrix Engine analysis.
  • Use Case: Ideal for academic researchers who need to analyze large volumes of literature efficiently, such as those working on complex research projects or thesis writing.

Quick Start

Execute the 'read papers' command to begin the process of deep-reading and deconstructing literature from the specified PDFs.

Frequently Asked Questions about literature-reader

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

FAQPage Schema
How do I convert academic PDF papers into structured JSON for research analysis?

To convert academic PDF papers into structured JSON, this Skill uses Google Gemini for deep reading and deconstructs the literature into Markdown reports before parsing them into structured JSON for downstream analysis.

What is the best way to automate deep-reading of academic literature for thesis writing?

Automating deep-reading of academic literature is handled by executing the 'read papers' command, which leverages Gemini multimodal capabilities to process PDFs and generate structured research matrices.

Do I need Google Gemini and MCP tools to process academic PDFs into structured data?

Yes, you need Google Gemini for multimodal deep reading and MCP tools for processing to successfully convert academic PDFs into structured JSON data within this research workflow.

Can I use this literature deconstruction tool for large volumes of academic research papers?

You can use this tool for large volumes of academic research papers, as it is specifically designed to streamline literature analysis workflows and generate structured outputs for complex research projects.

How does the Matrix Engine consume structured JSON from deconstructed academic literature?

The Matrix Engine consumes structured JSON generated by parsing Markdown reports, which are initially created from PDF papers using Gemini multimodal capabilities during the literature deconstruction process.