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Docx Comment Reply

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foryourhealth111-pixel
docx-comment-reply

Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.

Overview

Publisherforyourhealth111-pixel
RepositoryVibe-Skills
Skill namedocx-comment-reply
Stars
3.3K
Forks
288
Bundled files
4
LicenseApache-2.0
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 foryourhealth111-pixel on GitHub. Read the source before you install it.

Installation

Install the Docx Comment Reply 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/foryourhealth111-pixel/Vibe-Skills.git /tmp/Vibe-Skills
mkdir -p .claude/skills
cp -r /tmp/Vibe-Skills/bundled/skills/docx-comment-reply .claude/skills/docx-comment-reply
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docx Comment Reply 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 Docx Comment Reply 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 Docx Comment Reply 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 批注回复(.docx/.doc)

这个 skill 解决的问题:把 Word 文档里的批注(comments)按“原文锚点上下文”整理出来,生成待回复清单,然后把回复以 threaded replies 的方式写回到新的 .docx 文件里(不改原文件)。

适用场景:专利/论文/合同/内部评审等需要“逐条回复批注”的文档。

输出物(约定)

在当前工作目录的 outputs/ 下生成:

  • *_批注定位与上下文_*.md:人可读的批注+锚点上下文报告
  • *_comment_context_*.json:机器可读上下文(用于并行写回复/自动化)
  • *_replies_todo_*.json:待回复模板(键=comment_id,值=空字符串)
  • *_批注已回复_*.docx:写回批注回复后的最终交付文件

工作流(推荐)

1) 提取批注上下文

powershell
python scripts/extract_comment_context.py --input "path\\to\\file.docx"

如果输入是 .doc,脚本会尝试用 LibreOffice soffice 转成 .docx 后继续。

2) 生成回复(由你/Claude 来写)

  • 打开 outputs\\*_批注定位与上下文_*.md,逐条写回复。
  • 把回复填进 outputs\\*_replies_todo_*.json(保持 JSON 结构不变)。

回复口径(强约束)

  • 直接回答问题(别写“后续补充”但不说补什么)
  • 必须贴合锚点原文(避免泛泛而谈)
  • 不要用“老师您好/您好”类开头;口语化但专业

3) 写回批注回复并生成新 docx

powershell
python scripts/apply_comment_replies.py `
  --unpacked "outputs\\<xxx>_unpacked_<timestamp>" `
  --replies "outputs\\<xxx>_replies_todo_<timestamp>.json" `
  --author "YourName" `
  --initials "YN"

4) 校验(必须)

脚本默认会在保存时做 schema + redlining 校验;如需单独验证:

powershell
python ..\\docx\\ooxml\\scripts\\validate.py "outputs\\<unpacked_dir>" --original "outputs\\<out>.docx"

并行(XL 可选)

当批注数量较多(例如 ≥20 条):

  1. 先跑提取脚本得到 comment_context.json
  2. 以 comment_id 分片给子代理写回复(每个子代理 prompt 末尾加 $vibe
  3. 合并为一个 replies JSON,再执行 apply_comment_replies.py

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 Docx Comment Reply AI skill do?

Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.

Why use Docx Comment Reply on TypingMind?

Because you install it once and use it with any model. Docx Comment Reply 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 Docx Comment Reply in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/docx-comment-reply. 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 Docx Comment Reply?

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 Docx Comment Reply?

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

Is the Docx Comment Reply AI skill free?

Yes. It is published on GitHub by foryourhealth111-pixel under the Apache-2.0 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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