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.

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

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.

• 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.

• 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.

• 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.

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

Build Swift apps that run language and vision-language models locally on Apple Silicon with MLX. The skill covers streaming responses, tool calls, memory coordination, LoRA fine-tuning, text embeddings for search, and porting model architectures to Swift.

• Running a local language model in a Swift app
• Streaming model responses or processing images and video
• Adding tool calls to model responses