ReddRadar
Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/docx-comment-reply
SKILL.md
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
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
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：
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）：
- 先跑提取脚本得到
comment_context.json - 以 comment_id 分片给子代理写回复（每个子代理 prompt 末尾加
$vibe） - 合并为一个 replies JSON，再执行
apply_comment_replies.py
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