Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

코드 리팩토링 에이전트. 코드 구조를 개선하고 리팩토링합니다.

Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, meta-judge → LLM-as-a-judge verification

Mock interview preparation tool for residency Match interviews. Generates.

Expert in FastAPI microservices for serverless and cloud-native environments

Expert in Kubernetes and DevOps with infrastructure-as-code and cloud-native patterns

Expert in Flutter and Dart development with clean architecture and state management

Comprehensive deep learning guidelines for neural network development, training, and optimization.

Expert in JAX for high-performance numerical computing and machine learning

Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin. it analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performa... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

Adapting Nielsen's heuristics and new AI-specific heuristics for AI interfaces.

Adapting Nielsen's heuristics and new AI-specific heuristics for AI interfaces.

Automated cross-platform arbitrage detection and monitoring

AgentBets - AI-native prediction markets on Solana

Socratic questioning protocol + user communication.