doanchienthangdev
Publisher on askill
Agency-grade interface design with systematic aesthetic framework (BEAUTIFUL → RIGHT → SATISFYING → PEAK)
Protecting AI applications - input/output guards, toxicity detection, PII protection, injection defense, constitutional AI. Use when securing AI systems, preventing misuse, or ensuring compliance.
Builds production Vue 3 applications with Composition API, TypeScript, Pinia, and Vue Router. Use when creating Vue.js SPAs, component libraries, or reactive web interfaces.
AI agent applies a 5-phase systematic framework for tackling complex problems when conventional approaches fail. Use when stuck, blocked, or troubleshooting issues.
Claude builds accessible React UIs using shadcn/ui components with Radix primitives and React Hook Form integration. Use when creating forms, dialogs, or composable UI systems.
Applies 7 systematic thinking modes for breakthrough problem-solving and 10x improvements. Use when tackling complex problems, seeking transformative insights, or escaping conventional thinking traps.
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing develo...
Builds production React applications with hooks, TypeScript, state management, and performance optimization. Use when creating React SPAs, component systems, or interactive UIs.
Retrieval-Augmented Generation - chunking strategies, embedding, vector search, hybrid retrieval, reranking, query transformation. Use when building RAG pipelines, knowledge bases, or context-augmente...
Builds enterprise Laravel applications with Eloquent, API Resources, Sanctum auth, and queue processing. Use when creating PHP backends, REST APIs, or full-stack Laravel applications.
Automatic design system context injection for UI consistency
Advanced React Native patterns including native modules, performance optimization, navigation architecture, and platform-specific code.
AI agent maximizes efficiency and minimizes costs through strategic token usage while maintaining output quality. Use when managing AI interactions, designing prompts, or reducing costs.
Feature engineering techniques including feature extraction, transformation, selection, and feature store management for ML systems.
Deep neural network architectures including CNNs, RNNs, Transformers, and modern architectures for vision, NLP, and multimodal tasks.
ML deployment paradigms including batch vs real-time inference, online vs offline serving, edge deployment, and serverless ML.
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