A robust CLI skill that enables AI agents to manage Apple Reminders lists and tasks directly from the terminal via remindctl.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mh-apple-reminders
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install mh-apple-reminders using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill leverages the remindctl command-line interface to bridge the gap between AI agents and the native macOS Reminders ecosystem. By providing a structured way to interact with Apple Reminders, it allows users to synchronize tasks across iPhone, iPad, and Mac through simple terminal commands. It stands out among Openclaw Skills for users who rely on the Apple ecosystem for their daily productivity and personal organization.
Designed specifically for macOS, the skill handles everything from creating quick to-dos to managing complex lists with specific due dates, times, and priority filters. It ensures that your AI coding agent can effectively organize your schedule and track deliverables without ever leaving the development environment.
To incorporate this into your suite of Openclaw Skills, you must first install the remindctl binary using Homebrew:
brew install steipete/tap/remindctl
After installation, you must authorize the tool and verify its status:
remindctl authorize
remindctl status
The skill interacts with the native macOS Reminders database and supports several output structures for data processing:
| Format | Description |
|---|---|
| JSON | Detailed metadata objects including unique IDs, titles, and timestamps. |
| Plain | Tab-separated values (TSV) designed for human-readable terminal views. |
| Quiet | Minimalist output that returns only the item count. |
Supported date formats include ISO 8601, YYYY-MM-DD HH:mm, and relative terms like today, tomorrow, or yesterday.
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