Agent Skills for Context Engineering

Skill by ara.so — AI Agent Skills collection.

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. This skill teaches principles for managing LLM context windows, designing effective agent architectures, and building production-grade agent systems.

What This Project Does

Agent Skills for Context Engineering provides battle-tested patterns for:

• Context Management: Managing limited attention budgets, avoiding lost-in-middle degradation
• Multi-Agent Systems: Orchestrator, peer-to-peer, and hierarchical architectures
• Memory Systems: Short-term, long-term, and graph-based memory patterns
• Tool Design: Building tools that agents can use effectively
• Evaluation: LLM-as-judge frameworks for measuring agent quality
• Production Systems: Hosted agents with sandboxed VMs and multiplayer support

Unlike prompt engineering (crafting instructions), context engineering addresses holistic curation of all information in the context window: system prompts, tool definitions, retrieved documents, message history, and tool outputs.