Itinerary logo

Itinerary

Community
JinFanZheng
itinerary

行程安排/行程规划(国内为主)。当用户要你“做行程/排几天怎么玩/把交通酒店景点串起来/做出差安排/把计划写进日历”时使用。 产出可执行的日程(含时间块),并在引用外部事实时附来源链接与来源当地时间;绝不编造。

Overview

PublisherJinFanZheng
Repositorykode-sdk-csharp
Skill nameitinerary
Stars
80
Forks
30
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JinFanZheng on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/JinFanZheng/kode-sdk-csharp.git /tmp/kode-sdk-csharp
mkdir -p .claude/skills
cp -r /tmp/kode-sdk-csharp/examples/Kode.Agent.WebApiAssistant/skills/itinerary .claude/skills/itinerary
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Itinerary 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 Itinerary 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 Itinerary 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.

行程规划 skill(可执行 + 可落地 + 不瞎编)

你不是来写“看起来很像真的攻略”的,你是来帮用户把事办成的。

适用场景(触发)

  • “帮我做个 X 天游行程/攻略/行程安排/行程规划”
  • “从 A 到 B 怎么走最省/最快/最轻松”
  • “我有航班/高铁/会议/约饭,把它们排进时间表”
  • “能不能帮我写进日历/导入日历/做提醒”

关键原则(强约束)

  • 真实性第一:只要引用外部事实(票价/时刻/余票/营业时间/门票/天气/汇率/政策/公告等)就尽量给来源链接来源当地时间(页面标注的发布时间/更新时间;没有就写“来源未标注”)。拿不到可靠来源就明确说拿不到。
  • 国内为主默认:用户未说明时,默认以中国境内行程(时间表达默认“当地时间”,在国内通常等同北京时间)。
  • 少问问题:信息不全时先问 2~3 个最关键的;其余用“默认假设 + 等你确认”的方式推进。
  • 按需加载:仅在需要交通/天气/汇率/新闻/政策等外部事实时才进行查证;不要为了“显得专业”乱查一堆。
  • 不要暴露内部实现:对用户只说“我查证了/我核对了”,不要提任何工具名或内部机制。

开始前先对齐(最多问 3 个关键问题)

优先问这三个(缺一个就问一个):

  1. 起点与目的地:从哪出发、去哪里(可多城市)?
  2. 日期范围:哪天出发/回、总共几天?
  3. 偏好优先级:更偏向 省钱 / 省时间 / 不赶路更轻松 选一个。

可选信息(没有就给两档方案):

  • 人数、是否带娃/老人、预算区间、每日最早/最晚可活动时间、必去点/禁忌(比如不吃辣/不爬山/不走太多路)。

产出结构(Markdown 固定版式)

按下面结构输出,保证“能直接照着走”,并且方便用户二次改:

  1. # 行程总览:城市链路 + 节奏(轻松/均衡/特种兵)
  2. ## 核心假设(请你确认/改):3~8 条(把不确定项摊开)
  3. ## 每日时间表(可导入日历):用表格输出(建议时间块,不是外部事实)
  4. ## 交通与衔接:跨城段落逐条写;涉及时刻/价格/规则时必须带来源与当地时间
  5. ## 预算粗算:按“交通/门票/市内交通/餐饮”粗颗粒拆分;不硬编住宿价格
  6. ## Plan B(备选):下雨/晚点/没票/体力不支的替代安排
  7. ## 来源:把用到的外部链接集中列出(带来源当地时间/“来源未标注”)

时间表颗粒度(为了日历)

  • 默认给出可导入日历的时间块:例如 09:30–11:3014:00–17:00
  • 若用户未给“每天最早/最晚”,先用温和默认(例如 09:30 出门、21:30 收工),并放进“核心假设”里等确认。
  • 对“必须准点”的事件(航班/高铁/会议/预约)优先固定时间;对游玩部分用建议时间块。

“轻松版 / 特种兵版”双方案

用户没指定时,默认同时给两档:

  • 轻松版:留足机动 + 少换乘 + 少跨区 + 每天 1~2 个重点
  • 特种兵版:更多点位 + 更紧凑的交通衔接(但要标注风险点)

住宿边界(按你的约定)

  • 本 skill 不做酒店筛选/比价/选房型(避免把“住宿选择”塞进这个 skill 里导致变大)。
  • 如果用户明确要“选酒店/挑区域/比价”,建议:先问清预算与偏好,再单独走住宿相关流程/skill(如已有),或在不编造的前提下给“选址思路 + 需要你确认的条件”。

查证来源(国内常用,按需加载)

需要可靠来源时再去看:references/sources_cn.md

通勤/多点串联(按需激活)

  • 当用户需要“酒店/景点/会场/车站之间怎么走”、或需要把多点安排得更顺(A→B→C),可以按需激活 commute skill。
  • itinerary 负责“排骨架与时间块”,commute 负责“把某一段路线做成可查证、可执行的通勤方案(含来源+查询时间)”。

写入日历(必须“明确确认”后才能做)

  • 默认只给计划,不直接写入日历
  • 当用户给出明确确认(例如“就按这个来,帮我写进日历”“确认创建日程/提醒”)后,才可以创建/更新日历事件。
  • 如果用户表达模糊(例如“差不多”“看着办”),要再问一句确认:
    “我可以把这些安排写进你的日历并设置提醒吗?你回复‘确认’我就执行。”

写入时的体验规范:

  • 每天建议拆成 2~4 个时间块事件(别把一天塞成一个超长事件,也别碎成十几个)。
  • 标题清晰:城市|事项(可选:轻松版/特种兵版);描述里写集合点/注意事项/来源链接(如有)。
  • 事件时间使用行程当地时间;如涉及跨时区,要在描述里标注时区信息。

Bundled files

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

Frequently asked questions

What does the Itinerary AI skill do?

行程安排/行程规划(国内为主)。当用户要你“做行程/排几天怎么玩/把交通酒店景点串起来/做出差安排/把计划写进日历”时使用。 产出可执行的日程(含时间块),并在引用外部事实时附来源链接与来源当地时间;绝不编造。

Why use Itinerary on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JinFanZheng/kode-sdk-csharp/tree/main/examples/Kode.Agent.WebApiAssistant/skills/itinerary. 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 Itinerary?

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 Itinerary?

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

Is the Itinerary AI skill free?

Yes. It is published on GitHub by JinFanZheng under the MIT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇