Create calendar events, check schedules, and review how busy a day or week is. It can summarize key appointments and use available time windows to help identify when a meeting might fit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a product review meeting to the calendar
• Checking today’s or tomorrow’s schedule
• Reviewing this week’s workload and open time

Read the current text from the system clipboard or copy text into it when asked. This skill helps check copied content and prepare text for pasting elsewhere, with writing performed only when the user explicitly requests it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking what is currently on the clipboard
• Copying a drafted message for pasting
• Reading copied text before using it

Search contacts for phone numbers or email addresses, save new contact details, update existing records, or delete a selected contact. When a deletion could match multiple people, the skill asks which entry the user means.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Looking up a contact's phone number
• Saving a new contact with a name and phone number
• Updating a contact's company or email

Summarizes HealthKit data such as steps, activity, sleep, heart rate, and weight on the device. Use it to check a single metric or request a combined report for a chosen period; it only reads data and does not upload it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking today's or yesterday's step count
• Reviewing recent sleep or heart-rate readings
• Getting a weekly or monthly health summary

Create a reminder with a title and the time the user specifies. The skill asks for whichever detail is missing before creating it, so each reminder has both something to remember and a time to be notified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting a reminder to send a file at a stated time
• Creating a reminder to buy something tomorrow
• Adding a timed task after providing its title and due time

Use MLX in Swift to work with arrays and build neural networks on Apple Silicon. The skill covers automatic differentiation for gradients, model training with optimizers, performance compilation, custom Metal kernels, and memory coordination for concurrent work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating and manipulating MLX arrays
• Building a neural network in Swift
• Calculating gradients and training a model