Agent skill chaining composes several bounded procedures into a larger workflow. A chain can define order, required inputs, handoff data, stop conditions, validation, and which skill owns each part of the task.
Clear boundaries make chains easier to inspect and improve than one oversized instruction set. Designers should still handle failure, partial completion, incompatible versions, and the risk that one skill passes unsafe or malformed data to another.
ELI5
Agent skill chaining links several reusable AI agent guides into one workflow. Each skill handles a focused stage and passes a defined result to the next stage.
For example, one skill can gather sources, a second can verify claims, and a third can format a report. If verification fails, the chain should stop or return to research instead of sending unsupported content forward.
