在 Manus 中运行任何 Skill
一键导入
一键导入
一键在 Manus 中运行任何 Skill
开始使用$pwd:
$ git log --oneline --stat
stars:0
forks:0
updated:2026年3月7日 08:47
SKILL.md
readonly
$ install --global
$ download --local
| name | apple-notes |
| description | Manage Apple Notes via the memo CLI on macOS (create, view, search, edit). |
| version | 1.0.0 |
| author | Hermes Agent |
| license | MIT |
| platforms | ["macos"] |
| metadata | {"hermes":{"tags":["Notes","Apple","macOS","note-taking"],"related_skills":["obsidian"]}} |
Use memo to manage Apple Notes directly from the terminal. Notes sync across all Apple devices via iCloud.
brew tap antoniorodr/memo && brew install antoniorodr/memo/memoobsidian skillmemory tool insteadmemo notes # List all notes
memo notes -f "Folder Name" # Filter by folder
memo notes -s "query" # Search notes (fuzzy)
memo notes -a # Interactive editor
memo notes -a "Note Title" # Quick add with title
memo notes -e # Interactive selection to edit
memo notes -d # Interactive selection to delete
memo notes -m # Move note to folder (interactive)
memo notes -ex # Export to HTML/Markdown
memory tool for agent-internal notes that don't need to syncobsidian skill for Markdown-native knowledge managementQuery Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.
Manage Apple Reminders via remindctl CLI (list, add, complete, delete).
Send and receive iMessages/SMS via the imsg CLI on macOS.
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.