# 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 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。

Repository: https://github.com/zLanqing/codex-claude-academic-skills
Canonical: https://ross.abutalabs.com/products/codex-claude-academic-skills
Language: Python
License: MIT
License Family: permissive
Last push: 2026-05-14T09:08:48+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 82, release rhythm 35, longevity 7
- inputs: {"age_days": 111, "days_push": 111, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3220, forks 189 (observed 2026-08-28T04:07:49.636265+00:00)

## What it is
A collection of three academic skill packages for Claude Code and Codex covering paper writing, academic Word/PPT document generation, and scientific computing with MATLAB/Python. Designed Chinese-first for researchers, it supports the full workflow from literature reading and paper drafting to simulation and journal-quality figures.

## Use cases
- write and polish academic paper sections in Chinese
- generate literature reading reports from PDFs as Word documents
- create thesis defense and group meeting PPTs
- draft rebuttals to peer-review comments
- run MATLAB/Python simulations and export publication-quality figures
- plan a paper outline from a vague research idea

## When to choose
- you are a Chinese-speaking researcher using Claude Code or Codex
- you need an end-to-end academic workflow from data analysis to writing to presentation slides
- you want editable .docx and .pptx outputs rather than plain text

## When to avoid
- you need English-first academic writing tooling
- you are not using Claude Code or Codex as your AI coding environment
- you need a standalone application rather than AI agent skills

## Facets
- artifact type: plugin
- maturity: active
- function: nlp, data-visualization, data-science, documentation, llm-inference, prompt-engineering
- domain: education, data-science, documentation, developer-tools
- platform: python, cli, cross-platform
- tags: academic-writing, claude-code-skills, codex, paper-writing, pptx-generation, docx-generation, scientific-computing, chinese-researchers, peer-review, thesis-defense, matlab, latex, natural-language-processing

## Member repositories
- zLanqing/codex-claude-academic-skills (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:49.636265+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:44:21.288569+00:00, confidence not recorded.
  - readme: https://github.com/zLanqing/codex-claude-academic-skills (fetched 2026-08-28T04:07:49.636265+00:00, sha 909b171d0192)
- Data as of 2026-08-30T08:39:29.467469+00:00.