Menu
Send and receive iMessages/SMS via the imsg CLI on macOS.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| 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"]}} |
| prerequisites | {"commands":["imsg"]} |
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"
Gather fresh frontier signals for AI agent infrastructure, Vue, and Vite from live public feeds before producing summaries or strategic analysis.
Set up Hermes to safely self-upgrade on a schedule with pre-upgrade backup commits, push/tag safeguards, and user notifications before and after any real upgrade.
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Refactor Vue 3 giant files (>500 lines) using Blueprint-First Mode. Extract composables and UI sub-components while preserving 100% business logic.
Systematic multi-phase codebase audit for technical debt, architecture mapping, and defect detection. Read-only scanning before any modifications. Supports Vue/uni-app, JS/TS projects.