Agent Skills for Context Engineering Repository

Agent Skills for Context Engineering is a comprehensive, open collection designed to enhance the effectiveness of AI agent systems through effective context management.

Key features include:

• Foundational Skills - Understanding context and its significance in agent systems.
• Architectural Skills - Designing effective multi-agent architectures and memory systems.
• Operational Skills - Strategies for ongoing optimization and evaluation of agent systems.
• Development Methodology - Guidelines for building LLM-powered projects from ideation to deployment.
• Cognitive Architecture Skills - Formal modeling for rational agent systems.

This repository serves as a valuable resource for developers and researchers looking to build, optimize, or debug agent systems that require effective context management.