This skill explores AI systems designed to act as agents—capable of multi-step reasoning, memory, and collaboration with users or other agents. It includes the architecture, behavior models, and interface strategies used to implement intelligent and adaptive workflows.

• External: Understanding of basic prompting and LLM capabilities
• Internal: AI5.1 Prompt Engineering (recommended)

• Define agentic interfaces and describe their role in structured decision-making and automation.
• Differentiate between tool-using, memory-enabled, and collaborative agent types.
• Describe the looped reasoning and execution cycles used by AI agents.
• Identify strategies for agent evaluation, feedback integration, and task adaptation.
• Apply best practices for integrating agents into interactive or multi-agent HPC workflows.

Caution: All text is AI generated