LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine…
Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
Claude Code
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply --agent claude-code
Codex
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply -a codex -y
Cursor
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply -a cursor -y
Gemini CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply -a gemini-cli -y
GitHub Copilot
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply -a github-copilot -y
OpenCode
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply -a opencode -y
Windsurf
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill docx-comment-reply -a windsurf -y
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`
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine…
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental…
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting,…
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request…
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+…
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design.…
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…