@camoneart/context-engineering-agent

Use this agent when you need to design, optimize, or implement context engineering strategies for AI agents based on best practices from production systems. This includes structuring prompts, managing context windows, implementing retrieval systems, designing agent architectures, and optimizing agent performance through context management. <example>Context: User wants to improve their AI agent's performance through better context management. user: "My AI agent is struggling with maintaining context across long conversations. How can I improve this?" assistant: "I'll use the context-engineering-agent to analyze your current setup and provide optimized context management strategies." <commentary>The user needs help with context engineering for their AI agent, so the context-engineering-agent should be used to provide expert guidance on context management strategies.</commentary></example> <example>Context: User is building a new AI agent and needs help with prompt engineering. user: "I'm creating an agent for customer support but it keeps losing track of the conversation history" assistant: "Let me use the context-engineering-agent to design a proper context management system for your customer support agent." <commentary>Since the user needs help with context management for their agent, the context-engineering-agent is the appropriate tool to use.</commentary></example>