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Create Route

Community
AntonHu
create-route

指导在前端项目中按团队规范创建和维护路由,包括目录结构、Page 与 Loader 职责划分及懒加载用法。当前端需要新增或重构页面路由时使用本技能。

Overview

PublisherAntonHu
Repositoryai-coding-project
Skill namecreate-route
Stars
111
Forks
35
Bundled files
Instructions only
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 AntonHu on GitHub. Read the source before you install it.

Installation

Install the Create Route 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/AntonHu/ai-coding-project/tree/main/.agents/skills/create-route
  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/AntonHu/ai-coding-project.git /tmp/ai-coding-project
mkdir -p .claude/skills
cp -r /tmp/ai-coding-project/.agents/skills/create-route .claude/skills/create-route
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Route 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 Create Route 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 Create Route 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.

创建与维护路由

重要提示

在开始创建之前,请务必阅读以下关键规范:

必读规范:

  • .agents/rules/03-项目结构.md - 目录结构要求(特别是 index.module.scss)
  • .agents/rules/06-路由规范.md - 路由配置约束

常见错误警告:

  • 样式文件必须使用 .module.scss 后缀,禁止使用 .scss
  • 路由目录名使用 kebab-case,例如 login、ai-editor
  • 必须在全局唯一路由入口注册,禁止多处维护同一条路由

标准路由目录结构

每个路由对应 src/routes/<route-name>/ 目录:

text
src/routes/login/
  ├─ Page.tsx              # 页面主组件
  ├─ Loader.tsx            # 懒加载包装
  └─ index.module.scss     # 样式文件(必须是 .module.scss)

关键要求:

  • 样式文件后缀:index.module.scss(非 .scss)
  • 组件导出:默认导出 Page 组件
  • 目录名:kebab-case

步骤 1:创建 Page 组件

tsx
// src/routes/login/Page.tsx
import React from 'react';
import styles from './index.module.scss';  // 必须是 .module.scss

const LoginPage: React.FC = () => {
  return <div className={styles.loginPage}>LoginPage</div>;
};

export default LoginPage;

验证点:

  • 文件名为 Page.tsx
  • 样式导入为 ./index.module.scss
  • 默认导出组件

步骤 2:创建 Loader 组件(懒加载)

tsx
// src/routes/login/Loader.tsx
import React from 'react';
import {ErrorBoundary, RouterLoading} from '@/components';

const Component = React.lazy(
  () => import(/* webpackChunkName: "login" */ './Page')
);

const Loader: React.FC = () => {
  return (
    <ErrorBoundary>
      <React.Suspense fallback={<RouterLoading />}>
        <Component />
      </React.Suspense>
    </ErrorBoundary>
  );
};

export default Loader;

验证点:

  • 文件名为 Loader.tsx
  • 使用 React.lazy 懒加载 Page
  • 包含 ErrorBoundary 和 RouterLoading
  • 不在 Loader 中声明路由

步骤 3:在全局路由中注册

在 src/routes/index.tsx 中注册:

tsx
import LoginLoader from './login/Loader';

const routes = [
  {
    path: '/login',
    element: <LoginLoader />,
    isAuthenticated: true,  // 根据实际需求设置
  },
  // ...
];

验证点:

  • 只在唯一路由入口注册
  • 导入路径正确 ./login/Loader

步骤 4:验证文件结构

创建完成后,检查目录结构是否符合规范:

text
src/routes/<route-name>/
  ├─ Page.tsx              ✓
  ├─ Loader.tsx            ✓
  └─ index.module.scss     ✓(必须是 .module.scss)

快速验证命令:

bash
ls -la src/routes/<route-name>/

应该看到三个文件,且样式文件后缀为 .module.scss。


页面级组件放置

如果页面需要专用组件,创建 components/ 目录:

text
src/routes/ai-editor/
  ├─ Page.tsx
  ├─ Loader.tsx
  ├─ index.module.scss
  └─ components/           # 页面专用组件
      └─ xxx/
          ├─ index.tsx
          └─ index.module.scss

组件放置规则(详见 .agents/rules/04-组件规范.md):

  • 页面级组件(仅当前页面使用)→ src/routes/<route>/components/
  • 通用组件(多处复用)→ src/components/

快速检查清单

创建完成后,逐项核对:

  • 路由目录名为 kebab-case
  • 存在 Page.tsx
  • 存在 Loader.tsx
  • 存在 index.module.scss(非 .scss)
  • Page 中样式导入为 ./index.module.scss
  • Loader 只负责懒加载 Page
  • 路由在唯一入口文件注册
  • 组件放置位置正确(通用 vs 页面级)

样式还原检查:涉及 UI 还原的样式开发,请参考 .agents/skills/create-proposal/SKILL.md 中的「样式还原验证检查清单」及对应页面的 docs/样式还原/<名称>-UI分析清单.md。

Frequently asked questions

What does the Create Route AI skill do?

指导在前端项目中按团队规范创建和维护路由,包括目录结构、Page 与 Loader 职责划分及懒加载用法。当前端需要新增或重构页面路由时使用本技能。

Why use Create Route on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AntonHu/ai-coding-project/tree/main/.agents/skills/create-route. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Route?

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 Create Route?

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

Is the Create Route AI skill free?

It is published on GitHub by AntonHu. Check the repository for licensing terms. 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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