Doryoku1223

Doryoku1223 / lunwen-skill

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面向本科计科学生的一键论文初稿 Skill，支持样文/开题报告/模板驱动生成，并补全流程图、ER 图和项目截图

71
4
89% credibility
Found Apr 05, 2026 at 71 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of tools designed to help AI assistants generate formatted Chinese academic theses by analyzing sample documents, incorporating diagrams, screenshots, references, and exporting to DOCX.

How It Works

1
📚 Discover the thesis helper

You find this friendly assistant that helps create school papers in Chinese style, perfect for your graduation project.

2
📄 Share your sample paper

You give it a example thesis or template file so it learns the right look and structure.

3
💬 Describe your project

You explain your real project details, like what you built and key facts.

4
✨ Watch it write the draft

The assistant creates a full draft matching the sample's style, with chapters, figures, and placeholders all in place.

5
🖼️ Fill in pictures and diagrams

It helps add flowcharts, database diagrams, screenshots of your app, and tables automatically.

6
📊 Check lengths and details

You review chapter word counts, references, and make sure everything fits perfectly.

🎉 Get your polished paper

Download the final beautiful document ready for submission, looking just like a professional thesis.

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AI-Generated Review

What is lunwen-skill?

Lunwen-skill is a Python-based toolkit that automates initial drafts for undergraduate computer science theses, targeted at Chinese students. Feed it a sample paper, opening report, or template in DOCX/PDF, and it extracts styles, structures chapters by word count targets, generates Mermaid flowcharts/ER diagrams, data tables, test cases, and even captures project screenshots via browser automation. Output is a ready-to-polish Markdown file converted to a styled DOCX matching your sample.

Why is it gaining traction?

With 71 stars, it's niche but hooks devs weary of manual thesis drudgery—formatting, asset placeholders, and Word tweaks eat weeks. Unlike generic Markdown-to-DOCX converters, it enforces CS thesis must-haves like architecture diagrams and screenshot plans, plus reference checks and length controls, delivering a compliant first draft fast. The agent-friendly YAML prompt makes it plug-and-play for AI workflows.

Who should use this?

CS undergrads grinding graduation theses on web/mobile projects, especially those needing ER diagrams, flowcharts, or app screenshots. Supervisors or TAs prototyping sample structures. Skip if you're in humanities or want zero Chinese thesis conventions.

Verdict

Grab it for a huge time-save on drafts if you're in the target niche—tools work out-of-box with Node/Playwright for screenshots—but low 0.9% credibility score and 71 stars signal early-stage; expect tweaks for edge cases. Solid for bootstrapping, not final submission.

(198 words)

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