Context Manager

This is your go-to when you need to build serious context management infrastructure for AI systems. It covers the full stack: vector databases like Pinecone and Weaviate, knowledge graphs, RAG pipelines, and multi-agent workflow orchestration. You'll use this for designing how context flows between agents, optimizing retrieval with semantic search, managing long-term memory systems, and handling enterprise-scale knowledge bases. The skill is comprehensive but leans heavily toward architecture and system design rather than quick implementation patterns. Best suited for projects where you're building context infrastructure from scratch or need to orchestrate complex AI workflows with proper state management across multiple agents.