前端响应式设计标准 是做什么的？
使用流式容器、灵活单位、媒体查询和触屏友好设计，构建响应式、移动优先的布局，适用于所有屏幕尺寸。在创建或修改UI布局、响应式网格、断点样式、移动导航或任何需要适应不同屏幕尺寸的界面时，请使用此技能。适用于处理响应式CSS、媒体查询、视口设置、flexbox/grid布局、移动优先样式、断点定义（移动端、平板、桌面）、触控目标大小、相对单位（rem、em、%）、不同屏幕的图像优化或在多个设备上测试布局。使用于任何涉及多设备支持、响应式设计模式或自适应布局的任务。
使用流式容器、灵活单位、媒体查询和触屏友好设计，构建响应式、移动优先的布局，适用于所有屏幕尺寸。
这是一个专门用于构建和修改响应式、移动优先界面的AI代理技能。它提供了一套完整的标准，包括流式容器、flexbox/grid布局、基于视口的媒体查询断点（移动端、平板、桌面）、触控目标大小、相对单位（rem、em、%）以及多屏幕图像优化。该技能适用于Cursor、Claude Code等主流AI编码工具，可帮助开发者在创建UI布局、响应式网格、断点样式、移动导航或任何需要适应不同屏幕尺寸的界面时，确保代码遵循最佳实践。通过应用此技能，开发者可以自动生成符合移动优先设计原则的CSS代码，减少手动调整跨设备兼容性的工作量，从而提升开发效率并保证用户体验的一致性。
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/frontend-responsive-design-standardsInstalled? Explore more 图像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
使用流式容器、灵活单位、媒体查询和触屏友好设计，构建响应式、移动优先的布局，适用于所有屏幕尺寸。在创建或修改UI布局、响应式网格、断点样式、移动导航或任何需要适应不同屏幕尺寸的界面时，请使用此技能。适用于处理响应式CSS、媒体查询、视口设置、flexbox/grid布局、移动优先样式、断点定义（移动端、平板、桌面）、触控目标大小、相对单位（rem、em、%）、不同屏幕的图像优化或在多个设备上测试布局。使用于任何涉及多设备支持、响应式设计模式或自适应布局的任务。
This repo contains 17 individual skills — each has its own dedicated page.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Fetch up-to-date library documentation via Context7 CLI. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about library APIs, patterns, or best practices (3) Implementing features that rely on third-party packages (4) Debugging library-specific issues (5) Need current documentation beyond training data cutoff (6) AND MOST IMPORTANTLY, when you are installing dependencies, libraries, or frameworks you should ALWAYS check the docs to see what the latest versions are. Do not rely on outdated knowledge. Always prefer this over guessing library APIs or using outdated knowledge.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.
Route any website you need to visit through markdown.new by prefixing the URL. **WHEN TO USE:** - You would normally open a website link to read content (docs, blog posts, changelogs, GitHub issues, etc.) - You need a cleaner, Markdown-friendly view for copying notes or summarizing
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Only to be triggered by explicit /parallel-task commands.
Only to be triggered by explicit /parallel-task-spark commands.
Use when user specfically says 'plan harder'.
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.
Read and search GitHub repository documentation via gitmcp.io MCP service. **WHEN TO USE:** - User provides a GitHub URL - User mentions a specific repo in owner/repo format - User asks "what does this repo do?", "read the docs for X repo", or similar - User wants to search code or docs within a repo
Create and update Codex custom agents using standalone custom-agent TOML files.
Only to be triggered by explicit super-swarm-spark commands.
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
Writes failing tests first for test-driven development and hands off a strict implementation contract that requires agents to make those tests pass without weakening the tests. Use when users ask for test-first workflows, RED/GREEN cycles, or behavior-gating tasks with automated tests.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.