Lov Domain Cutover logo

Lov Domain Cutover

Organization
lovstudio
lov-domain-cutover

在 ICP 通过后把备案域名安全切换到中国大陆网站,核验部署、DNS、证书、HTTPS、ICP 页脚和旧域名处理;用户说“备案通过后绑定域名”或 "cut over the filed domain" 时使用。

Overview

Publisherlovstudio
Repositoryskills
Skill namelov-domain-cutover
Stars
67
Forks
17
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Lov Domain Cutover 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/lovstudio/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/china-website-filing/skills/domain-cutover .claude/skills/lov-domain-cutover
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lov Domain Cutover 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 Lov Domain Cutover 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 Lov Domain Cutover 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.

备案域名上线 · Domain Launch

Input and output

  • 输入:ICP 通过证据与服务备案号、目标域名、部署服务、DNS/证书现状和旧域名策略。
  • 输出:可访问的 HTTPS 域名、ICP备案展示、旧域名结果和真实回读证据。

Triggers

Activate when

  • 用户说“备案通过了,部署并绑定域名”“把新域名替换旧域名”“网站底部加 ICP 号”。
  • User asks to "cut over the filed domain" or "verify DNS, TLS, and the ICP footer".

Do not activate when

  • ICP 尚未通过或服务备案号无法权威回读;不得开放中国大陆网站,返回上游。
  • 只做通用构建、不涉及备案域名开放;使用生产构建或部署能力。

Workflow (MANDATORY)

  1. 读取 $KIT_DIR/references/status-taxonomy.mdauthority-gates.md 和本模块组合记录。
  2. 重新核验 ICP 通过、备案号、域名和目标接入资源的对应关系。
  3. 先验证可部署制品和服务健康,再申请/绑定证书并配置 DNS;不要用浏览器缓存代替 DNS/TLS/HTTP 检查。
  4. 仅在用户明确授权时解绑、替换或使旧域名失效。保留可回滚路径,避免误删 DNS 区域或证书。
  5. 在首页底部展示准确服务备案号并链接 https://beian.miit.gov.cn/;按当前管局/接入商要求核验根域与 www
  6. 从外部真实访问域名,检查解析、证书主机名、HTTP 状态、预期页面、备案号文字与链接。
  7. 输出 completedpartially-verified,并向公安备案模块交接网站开通时间、域名、IP/接入商和公开页脚证据。

Completion gate

控制台显示“绑定成功”不够;DNS、TLS、页面内容和 ICP 页脚必须从真实域名回读。旧域名结果必须与用户授权一致。

Dependencies

The site's existing deployment, DNS and certificate providers; no provider is hard-coded.

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 Lov Domain Cutover AI skill do?

在 ICP 通过后把备案域名安全切换到中国大陆网站,核验部署、DNS、证书、HTTPS、ICP 页脚和旧域名处理;用户说“备案通过后绑定域名”或 "cut over the filed domain" 时使用。

Why use Lov Domain Cutover on TypingMind?

Because you install it once and use it with any model. Lov Domain Cutover 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 Lov Domain Cutover in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lovstudio/skills/tree/main/skills/china-website-filing/skills/domain-cutover. 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 Lov Domain Cutover?

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 Lov Domain Cutover?

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

Is the Lov Domain Cutover AI skill free?

Yes. It is published on GitHub by lovstudio 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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