kasabulanka2019

kasabulanka2019 / zotero-review-matrix-skill

Public

Codex skill for Zotero literature review matrices and DOCX synthesis

17
0
85% credibility
Found Jun 01, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
PowerShell
AI Summary

This project is a Codex skill that helps researchers transform their annotated Zotero collections into organized literature review documents. Users connect their Zotero library to an AI assistant, select a collection, and receive three types of output: a Markdown matrix summarizing each paper, a CSV spreadsheet for further editing, and a Word document with a structured Chinese literature review including proper academic references. The tool prioritizes the user's own annotations and notes over abstracts, and generates GB/T 7714-2015 formatted references for Chinese academic submissions.

How It Works

1
📚 You have a research collection

You've been reading and annotating papers in Zotero, organizing them into folders for your literature review.

2
🔍 You find this skill online

You discover a tool that can turn your annotated Zotero collection into organized review documents.

3
⚙️ You install the skill

You download and install the skill into your Codex assistant with simple copy-paste commands.

4
✨ You connect your Zotero library

Your assistant links to your Zotero library so it can read your collections, notes, and annotations.

5
You choose your output format
📋
Markdown matrix

A clean, readable table showing all papers with their key details.

📊
CSV spreadsheet

A spreadsheet file you can open and edit in Excel or Google Sheets.

📄
Word document

A complete literature review in Chinese with proper academic formatting.

6
🤖 Your assistant reads and organizes

The assistant reads through all your annotated papers, prioritizing your notes and highlights over abstracts.

🎉 You get your literature review

You receive organized documents with your research organized by theme, ready for your thesis or paper.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 17 to 17 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is zotero-review-matrix-skill?

This is a Codex skill (custom instruction set for OpenAI's Codex) that transforms Zotero libraries into structured academic outputs. Drop in a collection name, and it generates a thematic Markdown literature review matrix, a UTF-8 CSV for further analysis, and a Word document literature review. The skill recursively processes nested subcollections, deduplicates entries, and prioritizes your existing notes and PDF annotations over abstract metadata. It outputs Chinese academic writing with GB/T 7714-2015 formatted references, sorting Chinese sources before English ones.

Why is it gaining traction?

Researchers spending hours manually building literature review tables finally have an AI-assisted shortcut. Unlike generic summarization tools, this respects your existing Zotero workflow—you've already read and annotated PDFs, and the skill amplifies that work rather than starting fresh. The structured matrix output (authors, methods, findings, limitations, relationships to your topic) maps directly to what thesis committees and reviewers expect. The CSV export is particularly useful for iterative screening, letting you filter and supplement in spreadsheets before committing to final prose.

Who should use this?

Graduate students and researchers in Chinese academic institutions writing literature reviews for theses or journal articles. Anyone already organized in Zotero with well-annotated collections will get the best results—garbage in, garbage out applies here. Academic writers who need GB/T 7714-2015 citation formatting will save significant time.

Verdict

A niche but genuinely useful tool for its target audience. At 17 stars with solid documentation and clear installation scripts for Windows and macOS/Linux, it shows signs of real use. The 0.85% credibility score reflects its narrow scope rather than quality issues. If you live in Zotero and write Chinese academic papers, this is worth installing—just don't expect Codex to fix sloppy annotations.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.