yishitys

yishitys / academic-report-generator-skill

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An AI-powered tool that reads academic PDF papers and automatically generates structured, high-quality PDF reports.

31
0
100% credibility
Found Feb 06, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository provides a skill for the Cursor AI assistant that automates extracting text from research paper PDFs, generating markdown summaries, and compiling them into an IEEE-style LaTeX report as a PDF.

How It Works

1
📚 Discover the report maker

You hear about a simple tool that turns a folder of research papers into a professional summary report without the hassle.

2
📥 Add to your AI helper

You easily add this skill to your AI coding assistant so it can guide you through the process.

3
📁 Gather your papers

Create a folder and drop all your PDF research papers into it, ready for magic.

4
✨ Let AI summarize

Tell your AI helper to process the folder – it pulls out the text and creates clear, structured summaries for each paper.

5
🖼️ Add pictures if you like

Drop any relevant images into subfolders for each paper to make your report more visual.

6
🏗️ Build the report

Ask the tool to combine the summaries into a polished, professional-looking document.

✅ Get your PDF report

Celebrate as your ready-to-print or share academic report appears, saving you hours of work!

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AI-Generated Review

What is academic-report-generator-skill?

This Python tool automates turning a folder of academic PDF papers into structured markdown summaries and a polished IEEE-style LaTeX PDF report. Drop PDFs in a target folder, extract text with PyMuPDF, use Cursor's AI to generate per-paper summaries in a standard format (title, contribution, methods, etc.), then build and compile the combined report via simple CLI commands like `python scripts/build_report_from_summaries.py --target week2`. It solves the drudgery of manual literature reviews for students and researchers, outputting a professional PDF ready for submission.

Why is it gaining traction?

It stands out among ai powered tools for education on GitHub by integrating directly as a Cursor skill, letting you prompt "summarize papers in week2" for hands-off AI-assisted workflows—no custom prompts needed. Add your own figures per paper, and it handles LaTeX compilation automatically, unlike generic pdf-to-text tools or manual report builders. Developers digging ai powered projects github love the end-to-end pipeline for content creation in academia.

Who should use this?

Grad students cranking through weekly paper readings, professors compiling lit reviews for classes, or researchers building reports from 5-10 PDFs. Ideal for ai powered tools for students or doctoral supervision setups where you use Cursor daily and need quick, structured outputs over raw text dumps.

Verdict

Grab it if you're in academia and on Cursor—solid docs and MIT license make setup painless, but 31 stars and 1.0% credibility score signal early-stage maturity with no tests. Prototype-worthy for ai powered tools for education, but watch for updates before production workflows.

(198 words)

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