sequential-thinking

Sequential thinking breaks down multi-step problems into explicit states, preconditions, and causal chains. It applies decision rules—branch when confidence drops below 60%, revise on fundamental errors, or extend incomplete analysis—ensuring you systematically identify root causes rather than surface symptoms.

Use structured reasoning for problems with 3+ logical steps, multiple valid approaches, unclear root causes, or initial confidence below 70%. It's especially valuable for state transitions and causal chains where unstructured reasoning leads to incomplete or incorrect solutions.

Sequential thinking includes quality scoring and convergence rules to verify solutions address root causes. The framework tells you when analysis is complete versus when you need to branch into alternatives or revise fundamental assumptions.

Yes. Sequential thinking guides systematic state analysis across system components, identifies causal chains in timing-dependent failures, and provides quality scoring to confirm solutions. It's effective for race conditions, intermittent failures, and high-load scenarios with unclear error messages.

Branching explores alternative approaches when confidence is below 60%, keeping multiple paths open. Revising discards the current path when you identify a fundamental error in your reasoning, then restarts with corrected assumptions.