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Implement form validation using React Hook Form, Formik, Vee-Validate, and custom validators. Use when building robust form handling with real-time validation.
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage...
This skill should be used when the user asks to "add a component", "use shadcn", "install Button", "create Dialog", "add Form", "use DataTable", "implement dark mode toggle", "use cn utility", or...
Pack entire codebases into AI-friendly files for LLM analysis. Use when consolidating code for AI review, generating codebase summaries, or preparing context for ChatGPT, Claude, or other AI tools.
React web development with hooks, React Query, Zustand
Build modern React/Next.js frontends. Use when creating web applications, choosing frontend stack, structuring components, or implementing UI/UX designs. Covers React, Next.js, Tailwind CSS, and...
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Implement secure coding practices following OWASP Top 10. Use when preventing security vulnerabilities, implementing authentication, securing APIs, or conducting security reviews. Triggers on...
Implement secure coding practices following OWASP Top 10. Use when preventing security vulnerabilities, implementing authentication, securing APIs, or conducting security reviews. Triggers on...
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Expert in JSON-RPC 2.0 protocol implementation, message dispatching, error handling, batch processing, and secure RPC endpoints
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React UI component systems with TailwindCSS + Radix + shadcn/ui. Stack: TailwindCSS (styling), Radix UI (primitives), shadcn/ui (components), React/Next.js. Capabilities: design system...
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Generate Technical.md and config.json by deeply analyzing your codebase structure, architecture, and patterns
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG...
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG...