ZyhSechub

ZyhSechub / chinese-thesis-workbench-skill

Public

本科毕业论文skill：会把你的项目的源码、数据库、截图和文献，按学校模板与样文风格，工程化地写成整合成可追溯、可续写、可审查的本科毕业论文

18
0
89% credibility
Found May 07, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of templates and helpers designed to standardize, generate, revise, and quality-check Chinese undergraduate theses using AI, ensuring compliance with academic standards and evidence traceability.

How It Works

1
🔍 Discover the Thesis Helper

You find this handy workbench skill that turns your project into a polished Chinese undergrad thesis following school standards.

2
📝 Set Up Your Thesis Blueprint

You fill out simple guides with your school's template rules, project details, and what evidence you have.

3
📁 Collect Your Project Proofs

You scan your code, diagrams, research papers, and notes to build a solid evidence folder.

4
✨ Let AI Craft Your Paper

The AI reads your blueprint and proofs to write, revise, and organize chapters into a natural academic style.

5
🔍 Review Figures and Citations

You check lists for images, tables, references, and fix any style risks like repetitive phrases.

6
📄 Generate Final Document

Everything comes together into a ready-to-print Word file with perfect formatting and comments handled.

🎓 Thesis Ready to Submit

You have a complete, standard-compliant thesis with clear evidence chains, feeling confident for review.

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AI-Generated Review

What is chinese-thesis-workbench-skill?

This Python skill automates turning your project's source code, database schemas, screenshots, and literature into a full Chinese undergraduate thesis matching school templates and sample styles. It builds traceable evidence chains, generates DOCX outputs, extracts PDF references, renders Mermaid diagrams, and captures UI screenshots via Playwright. Like a github claude skill or skill github agent, it integrates with tools such as skill github copilot or skill github cursor for AI-assisted thesis drafting.

Why is it gaining traction?

In a sea of generic AI writing tools, this stands out with chinese-thesis-specific features: AIGC style reviews to flag formulaic prose, figure registries for compliance, and evidence builders that link code to claims without fabrication. Devs grab it for the workbench CLI scripts that handle real pain points like DOCX comment extraction and literature cross-referencing, saving weeks on formatting drudgery.

Who should use this?

CS undergrads in China tackling project-based theses—think backend devs documenting Django apps or frontend teams with React UIs needing ER diagrams and test tables. Ideal for those using skill github anthropic claude code or skill github openclaw agents to iterate drafts while keeping everything reviewable and school-compliant.

Verdict

Grab it if you're in the niche; 18 stars and 0.9% credibility score reflect early maturity, but comprehensive docs and battle-tested Python scripts make it reliable for one-off thesis grinds. Pair with skill github cli for seamless workflows—solid 8/10 for targeted use.

(198 words)

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