Skills

Nature Paper2word

Compile an academic Markdown manuscript into a journal- or school-compliant Word...

Install

npx skills add Yuan1z0825/nature-skills --skill nature-paper2word -g -a claude-code -y
Category
Design
Updated
4d ago
License
MIT
Context cost
Mediumabout 2,559 tokens
Runs scripts
No, instructions only

What it does

Compile an academic Markdown manuscript into a journal- or school-compliant Word (.docx): declared typography, native OMML equations, three-line tables, cross-references, per-section page numbers, CSL bibliographies (GB/T 7714, APA, Nature, IEEE), and pre/post-export quality gates. 把学术论文的 Markdown 稿件导出为符合期刊或学位论文规范的 Word:摘要、公式编号、三线表、题注、交叉引用、目录域、参考文献。Use when the user wants a submission-ready .docx, 论文转 Word、学位论文排版、期刊投稿排版、prepare submission docx, or a readable copy of a manuscript. Not for PDF, HTML or LaTeX output, and not for slide decks or grant forms.

Markdown → compliant Word

This file is the router. The engine is deterministic: the same manuscript and the same format requirements always produce a byte-identical .docx. Do not substitute a hand-written python-docx script; run the installed pipeline.

Before the first export in a session, confirm the engine is available: md-to-word --version must print a version. This skill ships documentation only; if the command is missing, install it with pip install md-to-word-docx, then run the check again.

The full vocabulary lives in the manual inside the package, not here. md-to-word --contract prints its absolute path (Chinese or English, following the manuscript). Everything below is order of work; every spelling is looked up in the manual.

1. Decide the scenario first

ScenarioWhat the user saysWhat to do
Journal or school compliance"format it for Nature / my university"Get a target .docx template or a written spec, then build a requirements file.
Existing requirements"use our lab's spec file"Pass it with -r.
Baseline export (no explicit spec)"turn this into a Word file"Normalize the manuscript to the contract, then export with the built-in preset. The preset is a complete, valid format, not a provisional default.

State the chosen preset or requirements path in one line, then proceed. Without -r the only file picked up is one named exactly format.txt beside the manuscript; no other .txt is guessed at (if one is there, the run names it in a reminder). With no format.txt, the preset follows the manuscript's language: zh-academic for Chinese, en-nature for everything else. The run reports which one it used.

Read the whole SKILL.md on GitHub

More in Design