Reminders

CommunityPopular

kellyvv

Reminders

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。

Overview

Publisher	kellyvv
Repository	`PhoneClaw`
Skill name	`Reminders`
Stars	1.3K
Forks	167
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by kellyvv on GitHub. Read the source before you install it.

Installation

Install the Reminders AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/kellyvv/PhoneClaw.git /tmp/PhoneClaw
mkdir -p .claude/skills
cp -r /tmp/PhoneClaw/Skills/Library/reminders .claude/skills/Reminders

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reminders in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Reminders on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Reminders is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

提醒事项创建

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。

可用工具

reminders-create: 创建提醒事项
- 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

执行流程

从用户话语里提取 title 和 due
如果缺 title: 简短追问 "提醒您做什么呢?"
如果缺 due: 简短追问 "什么时候提醒您?"
两者都有时才调用 reminders-create, due 字段直接抄用户原话里的时间表达, 不需要换算
工具成功后, 直接告诉用户提醒已创建 (如 "好的, 已设置明天早上 8 点提醒买牛奶")
禁止在未拿到 due 时就 emit tool_call

完成后回复

工具成功后, 用一句自然中文确认结果, 不要提工具名、JSON 或内部步骤
优先说用户关心的信息: 提醒内容 + 时间
示例: "已设置：今晚八点提醒发文件。"

调用格式

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>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

SKILL.en.md2 KB
SKILL.ja.md3 KB

Frequently asked questions

What does the Reminders AI skill do?

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。

Why use Reminders on TypingMind?

Because you install it once and use it with any model. Reminders is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Reminders in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kellyvv/PhoneClaw/tree/main/Skills/Library/reminders. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Reminders?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Reminders?

As many as you like. As long as a model supports skills, you can use Reminders with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Reminders AI skill free?

Yes. It is published on GitHub by kellyvv under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

提醒事项创建

可用工具

执行流程

完成后回复

调用格式

Bundled files

Frequently asked questions

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