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Azure and Community Guidelines on Choosing Between a Skill or a Sub-Agent

WHY IT MATTERS

Selecting the wrong architectural shape for an AI task cannot be fixed by model choice alone. Engineers must evaluate context management, human involvement, and orchestration complexity to build maintainable systems.

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The three things worth knowing

01

Skills maintain conversation context and keep humans in the loop, while sub-agents run independently with clean context for batch-style tasks.

02

The primary dimensions for choosing between the two approaches are iteration model, voice fidelity, human gate placement, and task frequency.

03

Skills and sub-agents can be combined, such as building a skill on top of a sub-agent, for a more mature design.

THE CLUSTER

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