react-nextjs-patterns
React and Next.js implementation patterns for performance and maintainability. Use when building frontend components, pages, and applications with React ecosystem.
浏览 duyet 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
16收录技能的仓库 Stars 合计
56仓库 Forks
0平均每个技能的仓库 Stars
4同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
React and Next.js implementation patterns for performance and maintainability. Use when building frontend components, pages, and applications with React ecosystem.
Break down complex tasks into parallel workstreams for efficient execution. Use when planning multi-component features, large refactors, or any work that benefits from parallelization.
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 avoid...
Systematic quality verification procedures for code review and delivery. Use when validating completed work, conducting code reviews, or ensuring production readiness.
TypeScript best practices, strict typing patterns, and type safety strategies. Use when implementing TypeScript code with focus on type correctness and maintainability.
Backend and API implementation patterns for scalability, security, and maintainability. Use when building APIs, services, and backend infrastructure.
Create distinctive, production-grade terminal user interfaces with high design quality. Use this skill when the user asks to build CLI tools, TUI applications, or terminal-based interfaces. Generates creative,...
MANDATORY - You must load this skill before doing anything else. This defines how you operate.
Core engineering principles for sustainable, maintainable code. No shortcuts, no hacks. Quality gates before completion.
Prompt engineering guidance for Grok (xAI) model. Use when crafting prompts for Grok to leverage its conversational style, real-time knowledge access, and less-constrained responses.
Orchestrate complex work through parallel agent coordination. Decompose requests into task graphs, spawn background workers, and synthesize results elegantly. Use for multi-component features, large investigati...
Prompt engineering guidance for Claude (Anthropic) model. Use when crafting prompts for Claude to leverage XML-style tags, long-context capabilities, extended thinking, and strong instruction following.
Prompt engineering guidance for Gemini (Google) model. Use when crafting prompts for Gemini to leverage system instructions, multimodal capabilities, ultra-long context, and strong reasoning features.
Patterns for showing thinking process and execution chain. Every step visible, every decision traceable.
Iterative execution methodology. Small steps, verify each, adapt based on results.
Spawn and coordinate team-agents and orchestration patterns for parallel execution. Use for complex multi-component work.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。