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Frontend Typescript Rules

Community
shinpr
frontend-typescript-rules

应用 React/TypeScript 类型安全、组件设计与状态管理规则。用于实现 React 组件时使用。

Overview

Publishershinpr
Repositoryai-coding-project-boilerplate
Skill namefrontend-typescript-rules
Stars
234
Forks
28
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 shinpr on GitHub. Read the source before you install it.

Installation

Install the Frontend Typescript Rules 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/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/frontend-typescript-rules
  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/shinpr/ai-coding-project-boilerplate.git /tmp/ai-coding-project-boilerplate
mkdir -p .claude/skills
cp -r /tmp/ai-coding-project-boilerplate/.claude/skills-zh-CN/frontend-typescript-rules .claude/skills/frontend-typescript-rules
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frontend Typescript Rules 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 Frontend Typescript Rules 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 Frontend Typescript Rules 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.

TypeScript 开发规则(前端)

前端专属的 React/TypeScript 实现规则:阈值、边界类型安全、组件/状态设计、错误处理与项目约定。

前置条件检测

在应用某项项目约定之前,先检查 TypeScript、打包器/框架、lint/format、路径别名以及具有代表性的组件配置。当配置或既有仓库模式支持某项约定时,将其视为已观察到;仅凭少量示例得出的结论应标注为推断。当存在相互冲突的模式,且会影响公共行为、兼容性或组件边界时,应停下来指出所需的权威来源或决策点。

反模式与阈值

触发设计调整的信号:

  • Prop 透传超过 3 层 → 提升到 Context 或状态管理
  • 组件超过 300 行 → 拆分
  • Props 数量超过 10 个 → 拆分组件(3-7 个为合理区间)
  • 可选 props 超过 50% → 引入默认值或 Context
  • Props 嵌套超过 2 层 → 拉平

边界处的类型安全

将不可信或类型未知的数据接收为 unknown,并通过类型守卫进行收窄。仅当运行时/框架不变量能够证明所断言的类型时才使用 as,并在附近注释中记录该不变量。既有的生成代码或第三方声明中包含 any 属于需要包装的边界输入,而不是在应用契约中扩散 any 的理由。

在应用内部,React Props/State 已由类型保证——无需 unknown。在每一个外部边界处,先接收为 unknown,再通过类型守卫收窄后使用:API 响应、localStorage/sessionStorage、URL 参数、解析后的 JSON。受控组件的表单输入通过 React 合成事件保持类型安全。

typescript
const raw: unknown = await (await fetch(url)).json()
if (!isUser(raw)) throw new ValidationError('invalid user')
const user = raw // 已收窄为 User

组件与状态设计

  • 仅使用函数组件。 类组件仅允许用于 Error Boundary(不存在对应的 Hook 方案)
  • 显式为 Props 定义类型,使用具名类型并解构:function UserCard({ user, onSelect }: UserCardProps)。直接在函数上标注 props 类型,使 props 契约保持显式
  • Props 驱动: 当有一个明确的父组件拥有依赖项时,通过 props 传递。当多个非相邻的后代组件共享该值、且逐层传递 props 会引入无所有权作用的中间组件时,使用 Context 或既有的全局状态方案
  • 自定义 Hook 是逻辑复用与依赖注入的基本单元(通过 Hook 注入协作对象以提升可测试性)
  • 函数参数: 0-2 个使用位置参数;3 个及以上使用单一 options 对象
  • State 结构: 显式定义 state 类型;对于具有离散转换的多字段 state,使用带判别联合 action 类型的 useReducer,而不是大量 useState 调用
  • 服务端/客户端边界(仅限 RSC 框架,例如 Next.js App Router):数据获取/渲染默认使用服务端组件,将交互逻辑隔离在所需最小范围的 "use client" 边界之后;仅浏览器可用的 API(window、localStorage、事件处理函数)应保留在客户端组件内,因为在服务端组件中调用它们会破坏渲染。纯客户端 SPA(例如 Vite)没有服务端组件运行时,因此可跳过此项

错误处理

  • 为每个错误设定一个明确的处理结果:将其转换为带类型的预期失败、在所属的 UI 边界处处理,或连同其诊断上下文一并向上传播。在拥有可观测性职责的层级记录日志,避免同一个失败被重复记录
  • 快速失败: 遇到无效状态时应抛出异常,而不是静默返回兜底值
  • 使用 Result 类型将预期内的失败表示为值;将 throw 保留给非预期/不可恢复的情况
  • 使用继承自基类 AppError 的专用错误类,携带 code(例如 ValidationError、ApiError、NotFoundError)
  • 各层职责: API 层将传输层错误转换为领域错误;Hook 向上传播 AppError;Error Boundary 捕获渲染期错误并展示兜底 UI
  • Effect 竞态/清理: 对 useEffect 中的数据获取要防范乱序响应与卸载后的状态更新——中止或忽略过期结果(使用 AbortController 或挂载标志),或使用能自动取消与去重的服务端状态库(React Query/SWR)。仅靠 try-catch 无法覆盖这类情况
  • 仅记录当前信任边界所允许的诊断字段;记录日志前应对凭证、令牌、支付数据等敏感值进行脱敏
typescript
type Result<T, E> = { ok: true; value: T } | { ok: false; error: E }

class AppError extends Error {
  constructor(message: string, readonly code: string, readonly statusCode = 500) {
    super(message); this.name = this.constructor.name
  }
}

Error Boundary ——唯一必须使用类组件的场景:

typescript
class ErrorBoundary extends React.Component<{ children: React.ReactNode; fallback: React.ReactNode }, { hasError: boolean }> {
  state = { hasError: false }
  static getDerivedStateFromError() { return { hasError: true } }
  render() { return this.state.hasError ? this.props.fallback : this.props.children }
}

项目约定

  • 环境变量: 通过所配置打包器暴露的访问方式读取客户端环境变量。匹配已观察到的打包器:Vite 使用 import.meta.env.VITE_*,Next.js 公共变量使用 process.env.NEXT_PUBLIC_*,CRA 使用 process.env.REACT_APP_*。前端构建产物包含公开配置;敏感值应保留在服务端边界之后
  • 构建体积与性能: 使用 build 脚本对照项目预算监控构建体积;使用 React.lazy + Suspense 进行代码分割;组织状态结构以尽量减少重新渲染。记忆化(Memoization):启用 React Compiler 时应依赖它;仅在有性能分析依据或身份稳定性依据时(经测量确认的瓶颈,或第三方 API/effect 依赖需要稳定的引用身份)才手动使用 React.memo/useMemo/useCallback 作为例外手段
  • 命名: 组件/类型使用 PascalCase;变量/函数使用 camelCase;Hook 以 use 为前缀;常量使用 SCREAMING_SNAKE_CASE
  • 导入: 遵循在 tsconfig、lint 配置及代表性文件中观察到的别名与导入顺序规则。仅在配置的别名支持时使用 src/ 绝对路径
  • 格式化: 遵循仓库配置的格式化工具;若使用 Biome,分号与代码风格以其项目配置为准

Frequently asked questions

What does the Frontend Typescript Rules AI skill do?

应用 React/TypeScript 类型安全、组件设计与状态管理规则。用于实现 React 组件时使用。

Why use Frontend Typescript Rules on TypingMind?

Because you install it once and use it with any model. Frontend Typescript Rules 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 Frontend Typescript Rules in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/frontend-typescript-rules. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Frontend Typescript Rules?

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 Frontend Typescript Rules?

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

Is the Frontend Typescript Rules AI skill free?

Yes. It is published on GitHub by shinpr 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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