MrGeDiao

MrGeDiao / paper-reading-zh

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Evidence-aware Chinese paper reading rules for Codex, Claude Code, Claude Project, and ChatGPT Project

academic-papers agent-skills chatgpt chinese claude
27
1
69% credibility
Found May 27, 2026 at 27 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A collection of prompts in Chinese designed to help readers systematically analyze and understand academic research papers by providing structured questions and frameworks for deeper engagement with scholarly content.

How It Works

1
📚 Discover Paper Reading Prompts

You find a collection of helpful questions designed to make reading research papers easier and more effective.

2
🔍 Browse Available Prompts

You explore the different prompts organized in the collection to find ones that match what you want to learn.

3
✨ Choose Your Paper

You pick a research paper you're curious about and select the right prompts to guide your reading.

4
How Would You Like to Read?
🤝
Use Prompts Together

Work through the prompts with a study group or friend to discuss and learn together

🧠
Study Alone

Use the prompts for personal reflection and deep thinking about the paper's ideas

5
💭 Work Through Each Prompt

As you read, you answer the thoughtful questions that help you understand the paper's main ideas, methods, and conclusions.

6
🌱 Build Your Understanding

Step by step, the prompts help you break down complex ideas into pieces you can really grasp and remember.

🎉 Gain Deep Knowledge

You now truly understand the research paper and can explain its insights in your own words.

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Star Growth

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AI-Generated Review

What is paper-reading-zh?

This project provides structured prompts to help AI coding assistants like Codex, Claude Code, Claude Project, and ChatGPT Project read and analyze academic papers more effectively. The prompts are designed to be "evidence-aware," meaning they guide the AI to ground its responses in specific citations and findings from the papers being analyzed. The project is written in Chinese and targets developers or researchers who work with AI-assisted paper analysis.

Why is it gaining traction?

The hook here is specificity: instead of generic "read this paper" requests, these prompts enforce a structured approach that produces more reliable, citation-backed summaries. With multiple AI platforms supported, it offers a portable workflow. The evidence-aware framing also addresses a common complaint about AI hallucinations in research contexts.

Who should use this?

Researchers reading papers in Chinese who want consistent, traceable AI-assisted analysis. Developers building pipelines that process academic literature. Anyone frustrated with AI summaries that sound plausible but lack specific citations to back claims.

Verdict

This is a niche tool with potential, but the 27 stars and binary README files make it impossible to verify quality or scope without downloading and converting the content manually. The 0.699999988079071% credibility score reflects real uncertainty about project maturity and documentation quality. Approach with caution: try it on a low-stakes paper first to see if the output meets your standards for evidence grounding.

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