xiuneng0-collab

xiuneng0-collab / -

Public

中文核心期刊_skill

39
3
100% credibility
Found May 02, 2026 at 36 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A repository of templates, writing instructions, checklists, and AI prompts designed to help authors create and refine high-quality engineering papers for Chinese core journals.

How It Works

1
🔍 Discover helpful paper templates

While searching online for tips on writing strong engineering papers for Chinese journals, you stumble upon this collection of guides and templates.

2
📖 Read the quick start guide

You open the main guide that walks you through everything in simple steps, like setting up your paper's structure first.

3
📝 Build your paper framework

Using the ready-made chapter templates, you quickly outline your entire paper, making sure it flows like a real journal article.

4
✏️ Write and refine your content

You fill in your research details, data, and results, following tips to keep language clear, precise, and professional.

5
🤖 Get AI help if needed

For tricky parts like summaries or conclusions, you use the special prompts to let AI suggest improvements without changing your main ideas.

6
✅ Double-check with the list

Run through the final checklist to ensure figures, tables, formulas, and wording all match journal standards.

🎉 Paper ready to submit

Your polished paper now reads like a pro journal submission, boosting your chances of acceptance.

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Star Growth

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AI-Generated Review

What is -?

This repo delivers templates, checklists, and AI prompts for crafting engineering papers aimed at Chinese core journals in fields like electronics, automation, and embedded systems. It tackles common pitfalls—turning project reports into polished journal pieces, unifying figures, formulas, and terminology, and refining abstracts or conclusions without AI-generated fluff. Users get ready-to-use Word norms, section frameworks, and OpenAI-compatible YAML configs for tools like GitHub Copilot, all in Chinese with English hooks for global devs.

Why is it gaining traction?

In a sea of generic writing aids, it stands out with journal-specific tweaks that preserve data integrity while enforcing "evidence-first" structure—perfect for GitHub Copilot users via its skill directory integration. Devs hook into it for github cli workflows or GitHub Actions to automate paper checks, dodging the "AI taste" in outputs, much like github antigravity skill demos on YouTube. Low-key features like Copilot student/education pricing tie-ins make it accessible for teams on GitHub Enterprise.

Who should use this?

Graduate students or engineers drafting Chinese core papers in instrumentation or control tech, especially those iterating on intros/conclusions with GitHub Copilot. Teams standardizing formats across labs, or solo researchers using github pages for sharing drafts before submission.

Verdict

Skip unless you're targeting Chinese journals—36 stars and 1.0% credibility signal early-stage maturity with thin docs and no tests. Still, the AI prompts offer real value for Copilot education users; fork and expand it yourself.

(178 words)

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