Comprehensive context engineering guidance for AI agent systems. Routes to specialized sub-skills for production agent work. Use when the user asks to: "optimize context", "reduce token costs", "context compression", "summarize conversation history", "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "implement memory", "build memory system", "offload context to files", "use filesystem for agent memory", "debug agent failure", "diagnose context problems", "fix lost-in-middle", "build agent tools", "design agent tools", "evaluate agent performance", "build test framework", "implement LLM-as-judge", "understand context", "explain context windows", "build background agent", "implement BDI architecture", "start an LLM project", or any discussion of context degradation, attention patterns, multi-agent coordination, or production agent architecture.

Install

openclaw skills install @levineam/levineam-context-engineering