Calendar

CommunityPopular

kellyvv

Calendar

创建日历事项, 查询日程, 分析忙闲和空闲时间。

Overview

Publisher	kellyvv
Repository	`PhoneClaw`
Skill name	`Calendar`
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 Calendar 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/calendar .claude/skills/Calendar

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

Use it in TypingMind

Enable Calendar 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 Calendar 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 Calendar 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.

日历

严格遵循下面的参数规则, 不要自由发挥, 不要反问多余问题。

工具选择

新建/创建/添加/安排会议、约会、日程 → 调 calendar-create-event
查询今天/明天/本周有什么日程、行程安排 → 调 calendar-query-events
分析忙不忙、有没有空、找空闲时间 → 先调 calendar-query-events, 再基于工具返回的 events / busy_minutes / free_windows 总结
读取日程前不要编造；必须先调用查询工具

查询和分析参数

calendar-query-events 参数:

period: 预设范围。今天=today, 明天=tomorrow, 本周=this_week, 下周=next_week, 未来 7 天=next_7_days
start: 用户说的时间/日期/时段, 直接照抄, 如 "今天" / "明天下午" / "6月3日 14:00"
end: 用户明确给结束范围才填
days: "未来 N 天" 这类范围用数字
calendar: 用户指定某个日历才填
limit: 默认省略
include_notes: 默认不要传 true; 只有用户明确要求查看备注/详情时才传 true

查询常见映射:

"今天有什么日程" → {"period":"today"}
"明天下午有没有空" → {"start":"明天下午"}
"这周忙不忙" → {"period":"this_week"}
"未来 7 天行程" → {"period":"next_7_days"}

查询后回复:

简洁总结事件数量、关键日程和忙碌程度
如果用户问有没有空, 结合 free_windows 判断; 有足够空窗就说有空, 否则指出冲突时段
不要输出 JSON、工具名或内部字段名

创建参数

硬参 (必填, 缺失就简短追问一次):

start: 用户话语里的时间表达, 直接照抄原话, 工具会自己解析。
title: 事项标题 / 事由 / 关于什么

软参 (用户没说就省略字段, 永远不追问):

end: 结束时间 (同 start, 直接抄原话)
location: 地点
notes: 备注

start 提取规则

用户话语里只要有任何时间线索就视为 start 已提供, 把那段时间表达直接照抄进 start 字段:

相对时间: "明天下午两点" / "今晚八点" / "后天中午"
绝对时间: "5月3日 15:00" / "4月10日晚上"
已是机器格式: "2026-04-07T14:00:00"

重要: 不需要把"明天下午两点"换算成 "2026-04-XXTHH:MM:SS", 工具会自己算。直接 "start": "明天下午两点" 就行。换算反而容易算错 — 把转换工作交给工具。

禁止对已经给了相对时间的用户反问 "哪一天"。

如果用户完全没给时间 (如"安排个会议"), 先简短追问 "什么时候?"。

title 提取规则

用户话语里有名词短语 (如"产品评审会议" / "跟李总开会") → 直接当 title
只有光杆动作 (如"安排个会" / "在明天下午 3 点安排一个会议") → 追问一次: "要安排什么事呢?" / "主题是什么?"
用户后续补的短语 (如"产品评审, 跟设计团队") → 组合成 title ("产品评审 - 设计团队")
追问后用户再次含糊 → 用 "会议" 作为兜底 title, 不再追问第二次

跨轮参数合并 (关键)

判断"参数是否齐全"时, 必须合并整个对话历史中的用户消息, 不是只看当前一轮:

上一轮用户说了 "明天下午 3 点安排一个会议" → start 已有
本轮用户只说 "产品评审, 跟设计团队" → title 现在也有了
两个硬参都齐 → 立刻 emit tool_call, 不要再追问 start

反面教材 (不要这样): 上一轮给了时间、本轮给事由, 你却反问 "希望定在什么时候?" —— 这是把上一轮的用户消息当空气了, 是错误行为。

创建行为

两个硬参都拿到 (不管是哪一轮给的) → 立刻 emit tool_call, 不解释
完整历史里都缺 start 或 title → 简短一句话追问缺的那一个, 不要输出 tool_call
永远不追问 end/location/notes 这些软参

创建完成后回复

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: 事项名称 + 时间
示例: "已创建：产品评审会议，明天下午两点。"

调用格式

用户原话里的时间是什么样, start 就抄什么样, 工具自己解析:

<tool_call> {"name": "calendar-create-event", "arguments": {"title": "产品评审会议", "start": "明天下午两点"}} </tool_call>

<tool_call> {"name": "calendar-query-events", "arguments": {"period": "today"}} </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.md6 KB
SKILL.ja.md7 KB

Frequently asked questions

What does the Calendar AI skill do?

创建日历事项, 查询日程, 分析忙闲和空闲时间。

Why use Calendar on TypingMind?

Because you install it once and use it with any model. Calendar 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 Calendar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kellyvv/PhoneClaw/tree/main/Skills/Library/calendar. 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 Calendar?

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 Calendar?

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

Is the Calendar 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

日历

工具选择

查询和分析参数

创建参数

start 提取规则

title 提取规则

跨轮参数合并 (关键)

创建行为

创建完成后回复

调用格式

Bundled files

Frequently asked questions

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