LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/docx-comment-replyContext preview
The summary Claude sees to decide when to auto-load this skill.
Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
name: docx-comment-reply description: "Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML."
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。
在当前工作目录的 `outputs/` 下生成:
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。
**回复口径(强约束)**
python scripts/apply_comment_replies.py ` --unpacked "outputs\\<xxx>_unpacked_<timestamp>" ` --replies "outputs\\<xxx>_replies_todo_<timestamp>.json" ` --author "YourName" ` --initials "YN"
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"
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`
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Repo: foryourhealth111-pixel/Vibe-Skills
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
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