Generate "image + text" style visual decks on the open-slide React framework with 绿皮火车's design system — dark-teal / dark-coral themes, four core layouts (hero-cover / chapter-cover / takeaway / thesis), Nano Banana background imagery, and safe-zone typography discipline. Use when the user wants a visually dense, cinematic slide deck where layout is image-driven rather than text-driven and is comfortable shipping a static URL or PDF. NOT for legacy .pptx file output — that path was removed in v1.0; future PPTX export is planned as an open-slide upstream contribution.
[DEPRECATED — narrow use only] Inject content into a pre-existing hand-authored Google Slides master template via gws CLI batchUpdate (replaceAllText + replaceAllShapesWithImage). Use ONLY when (1) a polished Slides master template already exists on Drive and (2) you need to batch-fill it with N variants of content. For all other "make a visual deck" use cases (general drafting, ep-style content decks, first-time deck), use the visual-deck skill instead — it ships better visual fidelity via open-slide and no template wall.
Set up a research-driven PPT thesis using a three-section framework (counter-consensus paradox / structural decomposition / investigation paths) plus a six-question specificity diagnostic. Use when the PPT type is Research — NOT Pitch. Run ppt-classify first if type is unknown.
Review a PPT storyline for structural fit, pacing, and key-visual anchors. Type-aware — research-driven, pitch-driven, and teaching-driven decks have different valid storyline shapes. Use after thesis is set (ppt-classify + ppt-research-setup or plan-ceo-review) and BEFORE visual-deck generation.
Classify a PPT brief into one of four types (Pitch / Research / Teaching / Narrative), then emit a high-level chapter skeleton for that type personalized to the topic. Different PPT types need different立论 frameworks AND different chapter structures — a research PPT is not a pitch, a pitch is not a narrative. Use at the very start of PPT planning, BEFORE thesis setup. Pairs with ppt-research-setup / other per-type setup skills for detailed per-chapter reasoning.
Mac 智能磁盘清理助手，基于 Mole (https://github.com/tw93/Mole) 的用户友好包装器
| name | file-organizer |
| description | Mac 智能文件整理助手，专注整理下载文件夹中的办公文档，避免误移动代码文件 |
帮助用户整理下载文件夹中散落的办公文档，支持手动整理（智能文件夹）和自动整理两种模式，并与 disk-cleaner 配合保护重要文件。
Use this skill when users:
专注办公文档，避免误移动代码文件：
| 分类 | 扩展名 |
|---|---|
| 📊 演示文稿 | .ppt, .pptx, .key |
| 📝 文档 | .doc, .docx, .pages, .rtf |
| 📈 表格 | .xls, .xlsx, .numbers, .csv |
| 🖼️ 图片 | .jpg, .png, .gif, .webp, .heic |
| 🎬 视频 | .mp4, .mov, .avi, .mkv |
| 🎵 音频 | .mp3, .wav, .flac, .m4a |
| 📦 压缩包 | .zip, .rar, .7z, .dmg |
| 📚 电子书 | .epub, .mobi, .azw3 |
类似 Mole 的白名单机制，自动排除：
.git, node_modules, venv, __pycache__Library, .Trash.idea, .vscodebuild, dist, DerivedData# 默认整理下载文件夹
python scripts/file_organizer.py --manual
# 整理文档文件夹
python scripts/file_organizer.py --manual --scope documents
# 整理整个用户目录
python scripts/file_organizer.py --manual --scope home
# 自动整理下载文件夹
python scripts/file_organizer.py --auto
# 预览模式（不实际移动）
python scripts/file_organizer.py --auto --dry-run
# 只整理最近 30 天的文件
python scripts/file_organizer.py --auto --days 30
# 查看截图
python scripts/file_organizer.py --screenshots
# 自动整理截图（按月份）
python scripts/file_organizer.py --screenshots --auto
# 查找大于 100MB 的文件
python scripts/file_organizer.py --large-files
# 查找大于 500MB 的文件
python scripts/file_organizer.py --large-files --min-size 500
python scripts/file_organizer.py --status
~/Desktop/待整理/
├── 📊 演示文稿.savedSearch
├── 📝 文档.savedSearch
├── 📈 表格.savedSearch
├── 📄 PDF.savedSearch
├── 🖼️ 图片.savedSearch
├── 🎬 视频.savedSearch
├── 🎵 音频.savedSearch
├── 📦 压缩包.savedSearch
├── 📚 电子书.savedSearch
└── 💾 大文件 (>100MB).savedSearch
~/Desktop/已整理文件-20240125/
├── 演示文稿/
├── 文档/
├── 表格/
├── PDF/
├── 图片/
├── 视频/
├── 音频/
├── 压缩包/
└── 电子书/
自动模式整理后的文件夹路径会自动写入 ~/.config/mole/whitelist.txt，确保这些文件不会被 disk-cleaner 清理。