zlanqing/codex-claude-academic-skills

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...

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 19 minutes ago
Added to GitGenius on September 17th, 2026
Created on May 14th, 2026
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 228
Total Stargazers: 4,116 (+0)
Total Subscribers: 3 (+0)

Repository Insights (GitGenius)

Most active contributors

Sign in to see contributor activity.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 67 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

No label distribution available yet.

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Codex Claude Academic Skills is a collection of three Claude skills designed for academic researchers that covers the complete workflow from literature reading, paper writing, to scientific computing.

The project addresses the need for integrated AI assistance tailored to Chinese-language academic work. It provides three complementary skills that work together: research-writing-skill handles paper composition, revision, and peer-review responses with Chinese-first principles; office-academic-skill generates editable Word and PowerPoint documents for literature reports, group meetings, and defense presentations; scientific-toolkit-skill integrates MATLAB and Python computation with publication-quality figure generation. Each skill includes built-in reference resources such as rhetorical structure guides, writing checklists, and figure templates to support users through different research stages.

Researchers should adopt this if they work primarily in Chinese and need AI assistance across multiple stages of academic output. The tool suits projects requiring coordinated support for writing, presentation, and computation rather than isolated point solutions. The skills are designed to work together within the same task, allowing users to move fluidly between writing a paper section, generating supporting slides, and producing computational results. All three skills run directly in Claude Code and Codex platforms without additional setup.

The project maintains active development with regular updates to its skill implementations and reference materials. Documentation is comprehensive and structured around practical research workflows rather than abstract feature lists. The codebase reflects ongoing refinement of the writing principles and quality rules embedded in each skill, particularly around avoiding vague academic language and maintaining scientific accuracy in figures and citations.