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Found 18 Skills
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
Expert frontend development with React, Vue, and modern frameworks including component architecture, state management, performance optimization, and accessibility.
Expert full-stack development covering frontend frameworks, backend services, databases, APIs, and deployment for modern web applications.
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
JavaScript and TypeScript development with ES6+, Node.js, React, and modern web frameworks. Use for frontend, backend, or full-stack JavaScript/TypeScript projects.
React 19 patterns with React Compiler. Trigger: When writing React 19 components/hooks in .tsx (React Compiler rules, hook patterns, refs as props). If using Next.js App Router/Server Actions, also use nextjs-15.
Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks.
Guide for code refactoring, use this skill to guide you when user asked to refactor a components or functions and when an implementation of a plan requiring a code refactoring.
This skill should be used when the user asks to "write a Next.js app", "follow React best practices", "optimize a Next.js application", "build with the App Router", or needs guidance on modern React and Next.js patterns for 2025.
Use this skill when designing AI agent architectures, implementing tool use, building multi-agent systems, or creating agent memory. Triggers on AI agents, tool calling, agent loops, ReAct pattern, multi-agent orchestration, agent memory, planning strategies, agent evaluation, and any task requiring autonomous AI agent design.
Use when component does too many things. Use when mixing data fetching, logic, and presentation. Use when code is hard to test.
Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.