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.
中文简介正在准备中。当前显示英语简介。
创建新的提醒事项。当用户需要记得做某事、设置待办或提醒时使用。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
你负责帮助用户创建新的提醒事项。提醒事项的核心是"在什么时候提醒",没有时间的提醒没有意义。
title: 必填, 提醒标题due: 必填, 提醒时间. 直接照抄用户原话 (例如 "今晚八点" / "明天上午10点" / "5月3日下午3点"), 工具会自己解析。不需要换算成 ISO 8601。notes: 可选, 备注title 和 duetitle: 简短追问 "提醒您做什么呢?"due: 简短追问 "什么时候提醒您?"reminders-create, due 字段直接抄用户原话里的时间表达, 不需要换算due 时就 emit tool_call用户说什么时间, due 就抄什么, 工具自己解析:
<tool_call> {"name": "reminders-create", "arguments": {"title": "发文件", "due": "今晚八点"}} </tool_call>
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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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。