Lov Any2docx logo

Lov Any2docx

Organization
lovstudio
lov-any2docx

Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Configurable Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to docx", "md2docx", "any2docx", "md转word", "md转docx", "生成word", or asks for an "editable document" from markdown source.

Overview

Publisherlovstudio
Repositoryskills
Skill namelov-any2docx
Stars
67
Forks
17
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lovstudio on GitHub. Read the source before you install it.

Installation

Install the Lov Any2docx AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/lovstudio/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/any2docx .claude/skills/lov-any2docx
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lov Any2docx in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lov Any2docx on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lov Any2docx is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Word 大师 · Word Master

This skill converts any Markdown file into a professionally styled Word document using Python's python-docx library. It shares the same theme palette as any2pdf and handles all CJK/Latin edge cases correctly.

When to Use

  • User wants to convert .md.docx (Word)
  • User needs an editable document (not PDF)
  • Document contains CJK characters mixed with Latin text
  • Document has fenced code blocks, markdown tables, or lists
  • User wants a cover page, table of contents, or watermark in their DOCX

Quick Start

bash
python lov-any2docx/scripts/md2docx.py \
  --input report.md \
  --output report.docx \
  --title "My Report" \
  --author "Author Name" \
  --theme warm-academic

All parameters except --input are optional — sensible defaults are applied.

Pre-Conversion Options (MANDATORY)

IMPORTANT: You MUST use the AskUserQuestion tool to ask these questions BEFORE running the conversion. Do NOT list options as plain text — use the tool so the user gets a proper interactive prompt. Ask all options in a SINGLE AskUserQuestion call.

Use AskUserQuestion with the following template:

开始转 Word!先帮你确认几个选项 👇

━━━ 📐 设计风格 ━━━
 a) 暖学术    — 陶土色调,温润典雅,适合人文/社科报告
 b) 经典论文  — 棕色调,灵感源自 LaTeX classicthesis,适合学术论文
 c) Tufte     — 极简留白,深红点缀,适合数据叙事/技术写作
 d) 期刊蓝    — 藏蓝严谨,灵感源自 IEEE,适合正式发表风格
 e) 精装书    — 咖啡色调,书卷气,适合长篇专著/技术书
 f) 中国红    — 朱红配暖纸,适合中文正式报告/白皮书
 g) 水墨      — 纯灰黑,素雅克制,适合文学/设计类内容
 h) GitHub    — 蓝白极简,程序员熟悉的风格
 i) Nord 冰霜 — 蓝灰北欧风,清爽现代
 j) 海洋      — 青绿色调,清新自然
 k) 投资报告  — 楷体+深红,专业严谨,适合投资/尽调报告

━━━ 💧 水印 ━━━
 1) 不加
 2) 自定义文字(如 "DRAFT"、"内部资料")

示例回复:"a, 水印:仅供内部参考"
直接说人话就行,不用记编号 😄

Mapping User Choices to CLI Args

ChoiceCLI arg
Design style a-k--theme with value from table below
Watermark text--watermark "文字"

Theme Name Mapping

Choice--theme value
a) 暖学术warm-academic
b) 经典论文classic-thesis
c) Tuftetufte
d) 期刊蓝ieee-journal
e) 精装书elegant-book
f) 中国红chinese-red
g) 水墨ink-wash
h) GitHubgithub-light
i) Nordnord-frost
j) 海洋ocean-breeze
k) 投资报告invest-report

Architecture

Markdown → Strip frontmatter → Preprocess (split merged headings) → Parse (code-fence-aware) → python-docx Document → .docx

Key components:

  1. CJK font switching: _split_mixed() detects CJK runs and assigns Songti SC / SimSun / Noto CJK
  2. Inline markdown: _parse_inline() handles bold, italic, code, links
  3. Images: Local paths (relative to .md) and remote URLs — auto-downloaded and embedded via add_picture()
  4. Code blocks: Shaded paragraph with monospace font and border
  5. Tables: Header row with accent background, alternating row shading
  6. Watermark: VML-based diagonal watermark in header (Word-native)
  7. TOC: Field code with static fallback entries; updateFields=true triggers auto-refresh on open
  8. YAML frontmatter: Automatically stripped (won't leak status: draft etc. into output)
  9. Adaptive cover title: Font size scales down for long titles (36pt → 22pt)

Configuration Reference

ArgumentDefaultDescription
--input(required)Path to markdown file
--outputoutput.docxOutput DOCX path
--titleFrom first H1Document title for cover page
--subtitle""Subtitle text
--author""Author name
--dateTodayDate string
--version""Version string for cover
--watermark""Watermark text (empty = none)
--themewarm-academicColor theme name
--covertrueGenerate cover page
--toctrueGenerate table of contents
--header-title""Report title in page header
--footer-leftauthorBrand/author in footer
--stats-line""Stats on cover
--stats-line2""Second stats line
--edition-line""Edition line on cover
--code-max-lines30Max lines per code block

Dependencies

bash
pip install python-docx --break-system-packages

Runtime context (shared)

运行前读取本 Skill 包的 skill.yaml,由宿主提供 skill-runtime/v1 上下文。字段解析顺序为:当前请求、项目上下文、个人 Preferences、品牌 Profile、通用默认值。

  • 只使用 Manifest 声明的字段;Profile 保存公开品牌事实,Preferences 保存个人工作偏好。
  • required: true 字段缺失时,按 Manifest 的问题配置向用户提出一个聚焦问题;用户明确同意后再保存回答。
  • 报错提供可复制的 context_id、字段路径与来源,诊断内容避开秘密、完整私人路径和原始配置。

通用反馈闭环

用户在 Skill 驱动任务中提出修改意见时,继续当前产物前必须执行:

  1. 先判断意见是 task-specific(仅本次)还是 reusable(可跨任务复用)。
  2. task-specific 只修改当前任务,不改 Skill。
  3. reusable 先确定作用域:领域规则先更新对应 canonical Skill;适用于所有 Skill 的规则先更新共享规范。
  4. 完成规则更新、版本、lint 与分发核验后,再把修改应用到当前任务。
  5. reusable 修改会使此前的“确认”“继续”“发吧”失效;完成当前产物修改和回读后必须停下,等待用户下一步指示,不自动进入发布、提交或其他外部写入。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Lov Any2docx AI skill do?

Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Configurable Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involv...

Why use Lov Any2docx on TypingMind?

Because you install it once and use it with any model. Lov Any2docx is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lov Any2docx in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lovstudio/skills/tree/main/skills/any2docx. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Lov Any2docx?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lov Any2docx?

As many as you like. As long as a model supports skills, you can use Lov Any2docx with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lov Any2docx AI skill free?

Yes. It is published on GitHub by lovstudio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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