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Yida App Lifecycle

Organization
openyida
yida-app-lifecycle

宜搭应用启用与停用。仅当用户明确要求启用、停用、上线或下线某个已有应用时使用;不用于创建应用、发布页面或发布到钉钉应用中心。

Overview

Publisheropenyida
Repositoryopenyida
Skill nameyida-app-lifecycle
Stars
228
Forks
50
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 openyida on GitHub. Read the source before you install it.

Installation

Install the Yida App Lifecycle 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.
    https://github.com/openyida/openyida/tree/main/yida-skills/skills/yida-app-lifecycle
  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/openyida/openyida.git /tmp/openyida
mkdir -p .claude/skills
cp -r /tmp/openyida/yida-skills/skills/yida-app-lifecycle .claude/skills/yida-app-lifecycle
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yida App Lifecycle 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 Yida App Lifecycle 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 Yida App Lifecycle 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.

宜搭应用启用与停用

严格要求 (MUST DO)

  • 只有用户明确说“启用应用 / 上线应用 / 停用应用 / 下线应用”时,才允许调用本技能的远程写命令;不得从“发布页面”“更新应用”“应用不可用”等间接描述推断执行。
  • 执行前必须确认唯一的 appType 和当前登录组织;目标不明确时先询问用户。
  • app-offline 会让现有应用停止服务,执行前必须向用户展示目标 appType 与完整命令并获得确认。
  • 默认保持 isToDingAppCenter=n、showAppCenter=n。只有用户明确要求同步钉钉应用中心或显示应用中心时,才添加对应开关。
  • 命令失败后完整展示错误并停止;不得无修改连续重试,也不得改用浏览器抓包中的 Cookie、token 或 sec-* header 绕过认证。

严格禁止 (NEVER DO)

  • 不得把首次创建应用、表单/页面发布、应用信息更新自动升级为应用启用。
  • 不得把“暂时隐藏页面”“禁用集成自动化”“关闭公开访问”路由为应用停用。
  • 不得在测试、评测或默认 shared real E2E 中执行真实启用/停用。
  • 不得把本能力扩展为钉钉应用中心完整发布流程。

意图与命令

启用或上线已有应用:

bash
openyida app-online <appType>

停用或下线已有应用(需确认):

bash
openyida app-offline <appType>

仅在用户明确要求应用中心相关行为时使用:

bash
openyida app-online <appType> --to-ding-app-center --show-app-center
openyida app-offline <appType> --to-ding-app-center --show-app-center

完成条件

  • CLI 返回 success: true,且返回的 action 与用户意图一致。
  • 向用户说明目标 appType 已启用或已停用;失败时不得宣称状态已改变。

异常处理

异常场景处理方式
缺少或存在多个 appType 候选停止并要求用户确认唯一目标
登录态失效 / 组织不符重新登录或切换到目标组织后再执行
权限不足停止并提示使用具备应用管理权限的账号
平台返回 success: false 或 content: false展示 errorMsg / errorCode,不得重试或宣称成功

Frequently asked questions

What does the Yida App Lifecycle AI skill do?

宜搭应用启用与停用。仅当用户明确要求启用、停用、上线或下线某个已有应用时使用;不用于创建应用、发布页面或发布到钉钉应用中心。

Why use Yida App Lifecycle on TypingMind?

Because you install it once and use it with any model. Yida App Lifecycle 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 Yida App Lifecycle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openyida/openyida/tree/main/yida-skills/skills/yida-app-lifecycle. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Yida App Lifecycle?

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 Yida App Lifecycle?

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

Is the Yida App Lifecycle AI skill free?

Yes. It is published on GitHub by openyida 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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