유동적인 컨테이너, 유연한 단위, 미디어 쿼리 및 터치 친화적인 디자인을 사용하여 모든 화면 크기에서 작동하는 모바일 우선 레이아웃을 구축합니다.
이 스킬은 Claude Code, Cursor, Codex와 같은 AI 에이전트가 반응형 웹 디자인을 구현할 때 일관된 표준을 따르도록 지원합니다. 유동 그리드, 유연한 이미지, 미디어 쿼리 등 핵심 반응형 디자인 원칙을 기반으로 하여, 모바일, 태블릿, 데스크톱 등 다양한 디바이스에서 최적의 사용자 경험을 제공합니다. `rem`, `em`, `%`와 같은 상대적 단위 사용을 권장하며, 터치 대상 크기, 뷰포트 설정, 중단점 정의 등 구체적인 구현 가이드를 제공합니다. Flexbox와 CSS Grid를 활용한 레이아웃 구성, 모바일 내비게이션 패턴, 이미지 최적화, 다중 기기 테스트 방법 등을 포괄하여 개발자가 효율적이고 접근성 높은 UI를 제작할 수 있도록 돕습니다.
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/frontend-responsive-design-standardsInstalled? Explore more 이미지 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
유동적인 컨테이너, 유연한 단위, 미디어 쿼리, 터치 친화적인 디자인을 사용하여 모든 화면 크기에서 작동하는 모바일 우선 레이아웃을 구축하세요. UI 레이아웃, 반응형 그리드, 중단점 스타일, 모바일 내비게이션 또는 다양한 화면 크기에 적응해야 하는 모든 인터페이스를 만들거나 수정할 때 이 스킬을 사용하세요. 반응형 CSS, 미디어 쿼리, 뷰포트 설정, 플렉스박스/그리드 레이아웃, 모바일 우선 스타일링, 중단점 정의(모바일, 태블릿, 데스크톱), 터치 대상 크기, 상대적 단위(rem, em, %), 다양한 화면을 위한 이미지 최적화 또는 여러 기기에서 레이아웃 테스트와 같은 작업에 적용하세요. 다중 기기 지원, 반응형 디자인 패턴 또는 적응형 레이아웃과 관련된 모든 작업에 사용하세요.
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 Do not rely on outdated knowledge. Always prefer this over guessing library APIs or using outdated knowledge.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.