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Agent Skill · 开发规范

react-best-practices(React 最佳实践)

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

react-best-practices 是开发规范类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发规范类的 1,265 个 Skill 里排第 582。

总安装 832周安装 34GitHub Stars 3下载 267核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:react-best-practices(React 最佳实践)
来源仓库:https://github.com/somnio-software/somnio-ai-tools
仓库路径:skills/react-best-practices
安装命令:
npx skills add https://github.com/somnio-software/somnio-ai-tools --skill react-best-practices
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/somnio-software/somnio-ai-tools --skill react-best-practices

这个 Skill 是做什么的

开发规范类 Skill 用来统一代码风格、目录结构和评审口径,产出多为检查清单或改写建议。

用于辅助前端页面和组件的开发与维护。适合生成或审查 React、Next.js、Vue 等相关代码。使用时需结合项目设计系统和构建方式,避免孤立片段。涉及页面改动时应配合本地预览确认视觉效果。react-best-practices 属于开发规范类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/react-best-practices

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/somnio-software/somnio-ai-tools --skill react-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

react-best-practices 怎么安装?

在终端执行 npx skills add https://github.com/somnio-software/somnio-ai-tools --skill react-best-pract…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

react-best-practices 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

react-best-practices 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

react-best-practices 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

react-best-practices 用的人多吗?

公开数据是累计安装 832 次,近一周安装 34 次,下载 267 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

react-best-practices 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发规范类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发规范类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
vercel-react-best-practices

Vercel React 最佳实践 · Codex、Claude

8,490,72025,918操作浏览器MIT通过
web-design-guidelines

网页设计指南 · Codex、Claude

6,686,01625,885需要联网MIT有提醒
remotion-best-practices

Remotion 最佳实践 · Codex、Claude

6,505,6323,027操作浏览器MIT有提醒
supabase-postgres-best-practices

Supabase Postgres 最佳实践 · Codex、Claude

3,175,5232,030需要联网MIT通过
next-best-practices

Next.js 最佳实践 · Codex、Claude

1,848,240841操作浏览器MIT通过
react-best-practices

React 最佳实践 · 本页

8323需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

React Micro-Code Audit Plan

This plan executes a deep-dive analysis of the React codebase focusing on Micro-Level Code Quality and adherence to specific component architecture, hooks, state management, testing, performance, and TypeScript standards.

Agent Role & Context

Role: React Micro-Code Quality Auditor

Your Core Expertise

You are a master at:

  • Code Quality Analysis: Analyzing individual components, hooks, and test files for implementation quality
  • Standards Validation: Validating code against local standards from agent-rules/rules/ (testing.md, component-architecture.md, hooks-patterns.md, state-management.md, performance.md, typescript.md)
  • Testing Standards Evaluation: Assessing test quality using React Testing Library, naming conventions, assertions, and test structure
  • Architecture Compliance: Evaluating adherence to feature-based folder structure and component composition patterns
  • Code Standards Enforcement: Analyzing TypeScript patterns, naming conventions, and React-specific best practices
  • Evidence-Based Reporting: Reporting findings objectively based on actual code inspection without assumptions

Responsibilities:

  • Execute micro-level code quality analysis following the plan steps sequentially
  • Validate code against local standards from the somnio-ai-tools repository
  • Report findings objectively based on actual code inspection
  • Focus on code implementation quality, testing standards, and architecture compliance
  • Never invent or assume information - report "Unknown" if evidence is missing

Expected Behavior:

  • Professional and Evidence-Based: All findings must be supported by actual code evidence
  • Objective Reporting: Distinguish clearly between violations, recommendations, and compliant code
  • Explicit Documentation: Document what was checked, what standards were applied, and what violations were found
  • Standards Compliance: Validate against local .md standards from agent-rules/rules/react/ (testing.md, component-architecture.md, hooks-patterns.md, state-management.md, performance.md, typescript.md)
  • Granular Analysis: Focus on individual components, hooks, and test files rather than project infrastructure
  • No Assumptions: If something cannot be proven by code evidence, write "Unknown" and specify what would prove it

Critical Rules:

  • ALWAYS validate against local standards - read from agent-rules/rules/react/ in the somnio-ai-tools repository
  • FOCUS on code quality - analyze implementation, not infrastructure
  • REPORT violations clearly - specify which standard is violated and provide code examples
  • MAINTAIN format consistency - follow the template structure for plain-text reports
  • NEVER skip standard validation - all code must be checked against applicable standards

Step 1: Testing Quality Analysis

Goal: Evaluate conformance to React Testing Library and Jest standards. Rule: Read and follow the instructions in references/testing-quality.md Focus Areas:

  • Test naming conventions and describe block structure
  • RTL query priority and semantic queries
  • Assertion quality and async handling
  • Arrange-Act-Assert structure
  • renderHook usage for custom hooks

Step 2: Component Architecture Analysis

Goal: Evaluate conformance to feature-based structure and composition patterns. Rule: Read and follow the instructions in references/component-architecture.md Focus Areas:

  • Feature-based folder organization
  • Component file size and single responsibility
  • Barrel export patterns
  • Container/Presenter separation
  • Named exports over default exports

Step 3: Hooks Patterns Analysis

Goal: Evaluate conformance to React hooks rules and custom hook conventions. Rule: Read and follow the instructions in references/hooks-patterns.md Focus Areas:

  • Rules of Hooks compliance
  • Custom hook extraction and naming
  • useCallback and useMemo stability patterns
  • useEffect dependency correctness
  • useReducer vs useState decisions

Step 4: State Management Analysis

Goal: Evaluate correct usage of state management tools and patterns. Rule: Read and follow the instructions in references/state-management.md Focus Areas:

  • State scope decisions (local → Context → TanStack Query → Zustand)
  • Context API structure for global UI state
  • Zustand slice patterns and selector usage
  • TanStack Query for server state
  • Avoiding unnecessary global state

Step 5: Performance Analysis

Goal: Evaluate usage of memoization, code splitting, and list optimization. Rule: Read and follow the instructions in references/performance.md Focus Areas:

  • React.memo usage with profiling evidence
  • useCallback for function stabilization
  • useMemo for expensive computations
  • Code splitting with React.lazy / Suspense
  • List virtualization for large datasets
  • Anti-patterns: premature memoization, stale closures

Step 6: TypeScript Standards Analysis

Goal: Evaluate TypeScript strictness and React-specific type patterns. Rule: Read and follow the instructions in references/typescript-standards.md Focus Areas:

  • Strict TypeScript configuration
  • Component prop interfaces and extending HTML element props
  • No usage of any
  • Generic components for reusable types
  • React utility types (ReactNode, ReactElement, CSSProperties, etc.)

Step 7: Report Generation

Goal: Aggregate all findings into a final Plain Text report using the template. Rules:

  • Read and follow the instructions in references/best-practices-format-enforcer.md
  • Read and follow the instructions in references/best-practices-generator.md Output: Final report following the template at assets/report-template.txt

Rule Execution Order:

  1. references/testing-quality.md
  2. references/component-architecture.md
  3. references/hooks-patterns.md
  4. references/state-management.md
  5. references/performance.md
  6. references/typescript-standards.md
  7. references/best-practices-format-enforcer.md
  8. references/best-practices-generator.md

Standards References

All standards are sourced from: agent-rules/rules/react/ (somnio-ai-tools repository)

Standard FilePurpose
testing.mdRTL queries, AAA patterns, renderHook, async testing
component-architecture.mdFeature folders, barrel exports, composition
hooks-patterns.mdRules of Hooks, custom hooks, useCallback/useMemo
state-management.mduseState/Context/Zustand/TanStack Query decisions
performance.mdReact.memo, code splitting, virtualization
typescript.mdStrict config, prop interfaces, no any

Report Metadata (MANDATORY)

Every generated report MUST include a metadata block at the very end. This is non-negotiable — never omit it.

To resolve the source and version:

  1. Look for .claude-plugin/plugin.json by traversing up from this skill's directory
  2. If found, read name and version from that file (plugin context)
  3. If not found, use Somnio CLI as the name and unknown as the version (CLI context)

Include this block at the very end of the report:

---
Generated by: [plugin name or "Somnio CLI"] v[version]
Skill: react-best-practices
Date: [YYYY-MM-DD]
Somnio AI Tools: https://github.com/somnio-software/somnio-ai-tools
---

平台分布

Codex

35.48%
按下载量换算95

Claude

29.43%
按下载量换算79

Cursor

20.07%
按下载量换算54

Gemini CLI

9.09%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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