agents

SKILL.md

Agents are systems where LLMs dynamically direct their own processes and tool usage. This skill covers when to use agents vs workflows, common architectural patterns, and practical implementation guidance.

| Control flow | Predefined code paths | LLM determines next step | | Predictability | High - deterministic steps | Lower - dynamic decisions | | Complexity | Simpler to debug and test | More complex, harder to predict | | Best for | Well-defined, repeatable tasks | Open-ended, adaptive problems |

Key principle: Start with the simplest solution. Use workflows when the task is predictable; use agents when flexibility is required.

Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks. Source: itsmostafa/llm-engineering-skills.

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