📄️ MLOps Patterns
A comprehensive skill for implementing machine learning operations workflows, from model training and deployment to monitoring and retraining pipelines. This skill provides production-ready patterns for operationalizing ML systems at scale.
📄️ Prompt Engineering
A systematic skill for designing, testing, and optimizing prompts for large language models. This skill covers advanced prompting techniques, template management, and best practices for reliable LLM applications.
📄️ LLM Evaluation
A comprehensive skill for testing, benchmarking, and validating large language model outputs. This skill provides frameworks for measuring LLM performance across quality, safety, and reliability dimensions.
📄️ Embedding Optimization
A specialized skill for working with vector embeddings, semantic search, and similarity-based systems. This skill covers embedding model selection, optimization techniques, and production deployment patterns for retrieval-augmented generation (RAG) and semantic applications.