概要
Sequential Thinking provides a robust framework for Claude to decompose intricate problems into manageable, interlinked thought steps. It enables the AI to explicitly state assumptions, revise previous conclusions based on new insights, and explore alternative solution branches simultaneously. By maintaining deep context throughout multi-step tasks, this skill ensures higher accuracy and clarity for challenging coding scenarios, architectural planning, and debugging sessions where the scope is initially unclear or emerging.
