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Flight

Community
JinFanZheng
flight

Flight status lookup workflow. Use for flight status, delays, cancellations, airport departures/arrivals, or “today/real-time” aviation updates. Prefer airline/airport official sources; always include source link + local update time; NEVER fabricate.

Overview

PublisherJinFanZheng
Repositorykode-sdk-csharp
Skill nameflight
Stars
80
Forks
30
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Flight 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/flight .claude/skills/flight
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flight 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 Flight 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 Flight 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.

Flight skill(航班:航班号 + 日期 + 机场 + 状态)

心智模型

  • 航班信息是强实时:不查证就回答,基本等于瞎说。
  • 最稳的来源:航司官方航班动态页、机场官方到离港大屏/公告;第三方仅作补证。
  • 时区/日期很关键:同一航班号在不同日期状态不同;跨时区更容易误解“今天”。

只问 1 个关键问题(仅在必要时)

缺关键信息时只问一个:

  • 没航班号: “你有 航班号 吗?(比如 MU5355)”
  • 有航班号但日期不清: “你查的是 哪一天(当地日期) 的这趟航班?”
  • 机场/出发到达歧义: “你要看 出发 还是 到达 状态?”

输出硬要求(强约束)

必须包含:

  • 航班号 + 日期(当地日期)
  • 出发/到达机场(尽量写清楚城市或 IATA 三字码)
  • 状态(计划/延误/取消/起飞/到达…)
  • 来源 + 链接
  • 当地时间(来源页面的更新时间/发布时间;拿不到就写“来源未标注”)

建议格式(Markdown):

  • MUxxxx(YYYY-MM-DD,当地):状态(来源:xxx;当地时间:YYYY-MM-DD HH:mm / 来源未标注)
    • 细节:计划/实际起降时间(如来源提供)

来源策略(中国为主)

白名单(用于下结论)

  • 航司官网/官方 App 的 flight status 页面(以该航司为准)
  • 机场官网到离港信息/公告(以该机场为准)
  • caac.gov.cn(民航局:用于政策/公告类,不等同于单一航班实时状态)

全网(仅作补证/交叉验证)

  • 第三方航班跟踪平台可作线索与交叉验证,但不要作为唯一结论来源(尤其在“延误/取消”上)。

NEVER(绝对禁止)

  • 不要编造航班状态、延误时长、起降时间、登机口、值机柜台
  • 不要把“计划时间”说成“实际时间”
  • 不要在缺航班号/日期时就随便选一班来回答

Frequently asked questions

What does the Flight AI skill do?

Flight status lookup workflow. Use for flight status, delays, cancellations, airport departures/arrivals, or “today/real-time” aviation updates. Prefer airline/airport official sources; always include source link + local update time; NEVER fabricate.

Why use Flight on TypingMind?

Because you install it once and use it with any model. Flight 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 Flight 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/flight. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Flight?

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 Flight?

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

Is the Flight 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.

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