zLanqing

zLanqing / codex-claude-academic-skills

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本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计，可在 Claude Code 和 codex 中一键调用。

12
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100% credibility
Found May 17, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository provides three specialized skill packages that help Chinese researchers with academic work. The first package assists with writing research papers, including drafting, revision, and citation management. The second package helps create and edit Word documents and PowerPoint presentations for academic purposes like literature reviews and thesis defenses. The third package provides tools for scientific computing, including data analysis, visualization, and working with specialized scientific formats. All three packages are designed to work together seamlessly, allowing researchers to move smoothly from data analysis to paper writing to presentation creation.

How It Works

1
📚 You discover academic writing assistance

You hear about a tool that helps researchers write papers, create presentations, and run scientific calculations all in one place.

2
🎯 You choose your task

You pick from three specialized helpers: writing papers, making Word/PPT documents, or running scientific calculations.

3
Different paths for different needs
✍️
Writing papers

Get help drafting sections, polishing language, responding to reviewers, and managing citations

📄
Office documents

Convert papers into presentations, create literature reports, or build thesis defense slides

🔬
Scientific computing

Run data analysis, create charts, manage references, or run simulations

4
✨ Your work comes together

The tool helps you connect everything - your data becomes charts, charts become figures, figures go into papers, papers become presentations.

5
📝 You write and refine

You work on your paper section by section, with the tool checking your writing style and keeping references organized.

6
🎬 You create your presentation

From your finished paper, you generate slides for your thesis defense or conference presentation.

🎉 Your academic work is complete

You have a polished paper, professional slides, and all your data analyzed - ready to submit or present.

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Star Growth

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AI-Generated Review

What is codex-claude-academic-skills?

This is a bundle of three AI-powered skills designed for Chinese academic researchers, running inside Claude Code or Codex. The first skill handles paper reading reports and generates Word/PowerPoint documents for thesis defenses and group meetings. The second assists with full paper writing, polishing, and reviewer responses. The third provides MATLAB and Python scientific computing workflows for signal processing, statistical analysis, and journal-quality figure generation. All three skills are Chinese-first by default but preserve English technical terms like formulas, variables, and citations.

Why is it gaining traction?

The workflow chaining is the hook. Researchers can run data analysis, write the paper, then generate the defense presentation in one session without switching tools. The skills enforce academic rigor rules by default: no fabricated data, proper citation formatting, and evidence labeling. The bundled scientific computing toolkit covers 20+ Python libraries including matplotlib, scikit-learn, pymoo, and pymatgen, which saves researchers from assembling their own templates.

Who should use this?

Chinese PhD students and postdocs preparing theses or publications will find the most value. Lab groups doing literature reviews and weekly presentations could use the office automation skills. Researchers in optics, photonics, or materials science benefit most from the scientific-toolkit-skill since it includes domain-specific references for those fields. It is less useful for non-Chinese speakers or researchers outside the targeted disciplines.

Verdict

The concept is solid and the workflow integration is genuinely useful, but the 1.0% credibility score and 12 stars indicate this is a very early-stage project from an individual developer. Documentation exists but lacks community validation or real-world usage reports. Try it if you are already invested in the Claude Code/Codex ecosystem and need Chinese academic document automation, but treat it as experimental until adoption grows.

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