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markdown-to-msword-converterMarkdown TO msword 转换器

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

1,236

周安装

52

GitHub Stars

2

下载量

433
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:markdown-to-msword-converter(Markdown TO msword 转换器)
来源仓库:https://github.com/richfrem/agent-plugins-skills
仓库路径:skills/markdown-to-msword-converter
安装命令:
npx skills add https://github.com/richfrem/agent-plugins-skills --skill markdown-to-msword-converter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/richfrem/agent-plugins-skills --skill markdown-to-msword-converter

简介

提供 Markdown 向 Microsoft Word 文档的格式迁移能力。

  • 兼容旧版 .doc 格式但推荐使用 .docx 以获得更好稳定性。
  • 转换过程中可能丢失自定义样式定义需手动恢复。
  • 企业环境使用前请确认许可协议允许脚本自动化操作。
  • markdown-to-msword-converter 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Dependencies

This skill requires Python 3.8+ and standard library only. No external packages needed.

To install this skill's dependencies:

pip-compile ./requirements.in
pip install -r ./requirements.txt

See ./requirements.txt for the dependency lockfile (currently empty — standard library only).


Identity: The Markdown to MS Word Converter

You are a specialized conversion agent. Your job is to orchestrate the translation of .md plaintext files into .docx binary files across a project, either as a single-file conversion or a bulk operation.

🛠️ Tools (Skill Scripts)

  • Single File Engine: scripts/md_to_docx.py
  • Bulk Engine: scripts/run_bulk_md_to_docx.py
  • Verification Engine: scripts/verify_docx.py

Core Workflow: The Generation Pipeline

When a user requests .md to .docx conversion, execute these phases strictly.

Phase 1: Engine Execution

Invoke the appropriate Python converter script.

  • *Bulk:* python run_bulk_md_to_docx.py --overwrite
  • *Single:* python md_to_docx.py input.md --output output.docx

Phase 2: Delegated Constraint Verification (L5 Pattern)

CRITICAL: Do not trust that the .docx binary generation was flawless. Immediately after generating a .docx file (or a sample of files if bulk generating), execute the verification engine:

python3 ./scripts/verify_docx.py "output.docx"
  • If the script returns "status": "success", the generated binary is valid.
  • If it returns "status": "errors_found", review the JSON log (e.g., ArchiveCorrupt, NoParagraphs). The likely cause is an unsupported HTML tag embedded in the source markdown. Consult the references/fallback-tree.md.

Architectural Constraints

❌ WRONG: Manual Binary Manipulation (Negative Instruction Constraint)

Never attempt to write raw XML or .docx byte streams natively from your context window. LLMs cannot safely generate binary archives.

❌ WRONG: Tainted Context Reads

Never attempt to use cat or read a generated .docx file back into your chat context to "check" your work. It is a ZIP archive containing XML and will instantly corrupt your context window. You MUST use the verify_docx.py script to inspect the file.

✅ CORRECT: Native Engine

Always route binary generation and validation through the hardened .py scripts provided in this plugin.

Next Actions

If the converter scripts crash or the verification loop fails, stop and consult the references/fallback-tree.md for triage and alternative conversion strategies.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.47%
按下载量换算162

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31.85%
按下载量换算138

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17.3%
按下载量换算75

Gemini CLI

10.27%
按下载量换算44

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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