@QingQ77: An integrated AI academic skills package for Chinese researchers, covering three scenarios: paper writing, academic Office document generation, and scientific computing. https://github.com/zLanqing/codex-claude-academic-skills… Three skills…

Provide an integrated AI academic skills package for Chinese researchers, covering three main scenarios: paper writing, academic Office document generation, and scientific computing. https://github.com/zLanqing/codex-claude-academic-skills… Three skills packages, each covering paper writing, academic Office documents, and scientific computing, all directly usable in Claude Code and Codex. research-writing-skill handles writing, editing, and responding to reviewers, defaulting to Chinese. office-academic-skill creates literature reports, group meeting PPTs, and thesis defense PPTs, outputting editable files. scientific-toolkit-skill targets the optoelectronics field, packaging MATLAB/Python computation, figure plotting, and literature searching. The three can be chained: first compute data and generate figures, then write the paper, and finally create the defense PPT. — # zLanqing/codex-claude-academic-skills Source: https://github.com/zLanqing/codex-claude-academic-skills # Academic Skills for Claude Code & Codex > Three academic skills packages for Chinese researchers, covering paper writing, academic Office document generation, and scientific computing. > All skills are directly usable on both Claude Code and Codex. — ## Skills Overview | Skill | Core Use | Typical Scenarios | |——|–––––|–––––| | research-writing-skill | Paper section writing, revision, polishing | Paper body, abstract, introduction, methodology, experiments, response to reviewers | | office-academic-skill | Academic Word/PPT generation and editing | Literature reading reports, group meeting PPT, proposal/mid-term/defense PPT | | scientific-toolkit-skill | Scientific computing and data analysis | MATLAB/Python simulation, signal processing, statistics, machine learning, publication figures | The three skills are designed to be complementary and collaborative, callable in sequence within the same task: Paper writing scenario: scientific-toolkit-skill (data analysis, figure generation) → research-writing-skill (write paper body) → office-academic-skill (generate defense PPT) Literature reading scenario: office-academic-skill (PDF → Word reading report) → office-academic-skill (group meeting PPT) Simulation research scenario: scientific-toolkit-skill (MATLAB/Python simulation + publication figures) → research-writing-skill (method + experiment sections) — ## 1. research-writing-skill — Paper Writing Chinese-first academic writing skill, suitable for paper body, LaTeX/Overleaf manuscripts, dissertations, etc. ### Features - Writing paper sections: abstract, introduction, related work, methodology, experiments, discussion, conclusion - Paper revision and polishing: logic, terminology consistency, citation accuracy - Peer-review response writing (Rebuttal) - Argument planning: from vague ideas to paper outline ### Writing Principles - Default to Chinese expression, retain English titles, formulas, variables, method names, software commands, references - Do not fabricate data, DOIs, journal information, or experimental results - Distinguish between four information types: “original/existing data”, “user-confirmed content”, “inference”, “suggested extensions” - Avoid vague terms like “significant”, “advanced”, “effective”; replace with measurable conditions and comparison baselines ### Built-in Reference Resources | Path | Content | |——|––––| | paper-writing/section_rhetorical_moves/ | Rhetorical structure guides for each section | | paper-writing/writing_checklists/ | Writing self-check checklists | | paper-writing/figure_templates/ | Figure planning templates | | paper-writing/brainstorming_guide.md | From idea to paper blueprint | — ## 2. office-academic-skill — Academic Office Documents Chinese-first academic Word and PowerPoint workflow, generating editable .docx and .pptx files. ### Features Word Documents - PDF/paper → literature reading report (bilingual or Chinese) - Structured DOCX generation: headings, tables, figure placeholders, source annotations - Versioned editing of existing Word documents PowerPoint Presentations - Literature report PPT, group meeting PPT, course report PPT - Proposal/mid-term/defense PPT (template matching, master slide cloning) - Research presentation PPT, science communication PPT ### PPT Quality Rules - One core idea per slide, using “action titles” (state conclusions, not topic labels) - Figures and formulas carry technical arguments; avoid large blocks of text - Maintain scientific accuracy of axes, units, legends, formulas, data sources - White or restrained academic background; use color to guide attention ### Built-in Reference Resources and Tools | Path | Content | |——|––––| | office-docx/ | OOXML-level DOCX inspection and editing, including XSD schema library | | office-pptx/ | OOXML-level PPTX inspection and editing | | thesis-defense-pptx/scripts/ | Tool scripts for thesis context extraction, template cloning, slide export, overflow checking, etc. | | report-structure.md | Default literature report structure and evidence annotation format | — ## 3. scientific-toolkit-skill — Scientific Computing Toolkit Scientific computing skill focused on Optoelectronic Information Science and Engineering. ### Features MATLAB/Octave - Signal/image processing, FFT, filtering, matrix computation, simulation, publication figure export - Preserve original code structure, centralize key parameters, add physically meaningful comments Python Scientific Computing | Library | Use | |———|—–| | NumPy, SciPy, pandas | Data processing and numerical computing | | matplotlib, seaborn | Publication-level data visualization | | scikit-learn | Machine learning (classification, regression, clustering, dimensionality reduction) | | statsmodels | Statistical modeling (linear models, time series, GLM) | | SymPy | Symbolic mathematics and formula derivation | | pymoo | Multi-objective optimization | | simpy | Discrete-event simulation | | QuTiP | Quantum optics / open quantum systems | | pymatgen | Materials science computing (crystal structure, band structure, DOS) | | TimesFM | Time series forecasting | | NetworkX | Graph and network analysis | | Astropy | Astronomy / optical imaging data processing | Literature and Citations - Paper search: arXiv, PubMed, CrossRef, Semantic Scholar, OpenAlex - Citation management: DOI → BibTeX, literature metadata extraction, citation verification ### Domain Focus - Optics, optoelectronics, optical communication, fiber sensing - BOTDR/BOTDA, BGS, SPM, dispersion, noise, deconvolution - Spectroscopy, detector data, sensor time series, calibration and uncertainty ### Built-in Reference Resources 20+ sub-modules with detailed reference documentation, script templates, and examples, including matplotlib figure templates, statistical test selection guide, scikit-learn classification pipeline, etc. — ## Cross-platform Installation All three skills share the same directory structure and SKILL.md format, loadable directly in Claude Code and Codex. ### Claude Code bash # Clone repository git clone https://github.com/your-username/claude-academic-skills.git # Install to global skills directory cp -r claude-academic-skills/research-writing-skill ~/.claude/skills/ cp -r claude-academic-skills/office-academic-skill ~/.claude/skills/ cp -r claude-academic-skills/scientific-toolkit-skill ~/.claude/skills/ Or install via the Plugin method: bash /plugin install your-username/claude-academic-skills ### Codex bash # Install to global skills directory cp -r claude-academic-skills/research-writing-skill ~/.codex/skills/ cp -r claude-academic-skills/office-academic-skill ~/.codex/skills/ cp -r claude-academic-skills/scientific-toolkit-skill ~/.codex/skills/ Or load directly in the current session via --plugin-url: bash codex --plugin-url https://github.com/your-username/claude-academic-skills > For project-level installation, place the skill directory into .claude/skills/ or .codex/skills/ under the project root; it will only take effect for that project. — ## Directory Structure Each skill follows a unified structure: skill-name/ ├── SKILL.md # Skill definition and usage instructions ├── agents/ # Sub-agent configurations └── references/ # Reference documents, scripts, templates, etc. — ## Language and Evidence Standards All three skills adhere to the following standards: | Standard | Description | |–––––|———––| | Default Chinese | Explanations, text writing, and slide creation use Chinese | | Keep English | Paper titles, formulas, variable names, model names, software commands, reference entries | | No fabricated data | Do not fabricate DOIs, authors, journals, experimental values, figure numbers, page numbers, conclusions | | Source annotation | Attach source labels to claims, parameters, quantitative results, datasets, figures, etc. | — ## Acknowledgments This project references the following excellent open-source Skill projects during design. We thank the authors for their public contributions: | Project | Description | |———|———––| | zouchenzhen/thesis-defense-pptx-skill (https://github.com/zouchenzhen/thesis-defense-pptx-skill) | Generate editable defense PPTX from paper PDF/LaTeX, supporting template style retention, per-slide PNG export, and text overflow checking, optimized for Windows + PowerPoint | | K-Dense-AI/scientific-agent-skills (https://github.com/K-Dense-AI/scientific-agent-skills) | 134+ scientific Agent Skills covering MATLAB/Octave, Matplotlib, signal processing, scientific visualization, etc. | | tfriedel/claude-office-skills (https://github.com/tfriedel/claude-office-skills) | Systematic Office document processing Skill set, including docx/, pptx/, pdf/, xlsx/ sub-modules, clean structure | | Gabberflast/academic-pptx-skill (https://github.com/Gabberflast/academic-pptx-skill) | Focus on academic PPT standards: conclusion-based titles, one core idea per slide, figure citation standards, and references page | | SNL-UCSB/paper-writing-skill (https://github.com/SNL-UCSB/paper-writing-skill) | Encodes validated paper writing principles, covering argument logic, figure support, draft restructuring and compression | — ## License This repository is open-sourced under the MIT License. - You are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software - You must retain the copyright notice and this permission notice in all copies or substantial portions of the software - The software is provided “as is”, without warranty of any kind, express or implied Some external resources referenced (e.g., scripts in scientific-toolkit-skill/references/scientific-skills/) follow their original license agreements.