sequential-thinking

Problem decomposition breaks large projects into logical, sequenced tasks by assessing scope, identifying dependencies, and estimating effort for each component. This structured approach prevents overwhelm and surfaces hidden complexity in architecture decisions and epic planning.

Root cause analysis uses iterative reasoning and explicit techniques like the five-whys method to trace problems to their source. This skill guides you through systematic questioning and dynamic scope adjustment to identify underlying issues rather than symptoms.

Architecture decision-making uses complexity assessment to evaluate multiple dimensions, identify risks, and rate effort for each option. The iterative reasoning process lets you revise assumptions as new information emerges and branch into alternatives.

Yes. The skill explicitly handles uncertain scope through dynamic adjustment and revision mechanisms. As requirements clarify during planning, the framework adapts, allowing you to refine breakdowns and estimates without restarting.

Complexity assessment maps multiple dimensions of a problem—technical, organizational, dependency-based—and provides concrete ratings for each. This prevents underestimation and reveals hidden effort in task breakdown and specification writing.