تشغيل أي مهارة في Manus
بنقرة واحدة
بنقرة واحدة
تشغيل أي مهارة في Manus بنقرة واحدة
ابدأ الآن$pwd:
$ git log --oneline --stat
stars:٠
forks:٠
updated:٧ مارس ٢٠٢٦ في ٠٨:٤٧
SKILL.md
readonly
$ install --global
$ download --local
| name | imessage |
| description | Send and receive iMessages/SMS via the imsg CLI on macOS. |
| version | 1.0.0 |
| author | Hermes Agent |
| license | MIT |
| platforms | ["macos"] |
| metadata | {"hermes":{"tags":["iMessage","SMS","messaging","macOS","Apple"]}} |
Use imsg to read and send iMessage/SMS via macOS Messages.app.
brew install steipete/tap/imsgimsg chats --limit 10 --json
# By chat ID
imsg history --chat-id 1 --limit 20 --json
# With attachments info
imsg history --chat-id 1 --limit 20 --attachments --json
# Text only
imsg send --to "+14155551212" --text "Hello!"
# With attachment
imsg send --to "+14155551212" --text "Check this out" --file /path/to/image.jpg
# Force iMessage or SMS
imsg send --to "+14155551212" --text "Hi" --service imessage
imsg send --to "+14155551212" --text "Hi" --service sms
imsg watch --chat-id 1 --attachments
--service imessage — Force iMessage (requires recipient has iMessage)--service sms — Force SMS (green bubble)--service auto — Let Messages.app decide (default)User: "Text mom that I'll be late"
# 1. Find mom's chat
imsg chats --limit 20 --json | jq '.[] | select(.displayName | contains("Mom"))'
# 2. Confirm with user: "Found Mom at +1555123456. Send 'I'll be late' via iMessage?"
# 3. Send after confirmation
imsg send --to "+1555123456" --text "I'll be late"
Query Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.
Manage Apple Notes via the memo CLI on macOS (create, view, search, edit).
Manage Apple Reminders via remindctl CLI (list, add, complete, delete).
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.