AI Engineer
Build production AI systems: LLM integration, RAG, agents, vector databases, and MCP servers.
8 skills in this collectionLLM API Integration
Best practices for integrating LLM APIs with error handling, streaming, and cost management.
RAG Implementation Patterns
Retrieval-Augmented Generation with chunking, embeddings, and hybrid search.
AI Agent Development
Building AI agents with tool use, planning, memory, and safety patterns.
Claude API & Anthropic SDK
Claude API integration with Messages API, streaming, tool use, vision, and extended thinking.
MCP Server Development
Model Context Protocol server development with tool definitions, resource management, and transport patterns.
Vector Database Patterns
Vector databases with Pinecone, Qdrant, pgvector, and Chroma for similarity search and AI applications.
Prompt Engineering Techniques
Prompt engineering with chain-of-thought, few-shot, structured output, and evaluation patterns.
AI Safety & Responsible AI
AI safety patterns including content filtering, bias detection, guardrails, and responsible deployment.