← ClaudeAtlas

sequential-thinkinglisted

Dynamic, reflective step-by-step problem solving and hypothesis refinement
mastepanoski/ce-ai · ★ 4 · AI & Automation · score 80
Install: claude install-skill mastepanoski/ce-ai
# Sequential Thinking Protocol Dynamic, reflective step-by-step problem solving and hypothesis refinement. Use this protocol when tackling complex non-linear problems, diagnosing elusive software defects, evaluating intricate architectural trade-offs, or navigating multi-variable decision spaces. ## Core Operational Principles 1. **Explicit Step Progression & Dynamic Planning**: - Maintain active thought progression in each reasoning step: `Thought [N] / Estimated [M]`. - Update `Estimated [M]` dynamically as problem complexity expands or narrows during exploration. - Do not rush to premature conclusions; allow ideas to evolve and branch through systematic iterations. 2. **Hypothesis Formulation & Premise Tracking**: - Explicitly articulate hypotheses before inspecting implementation details or executing tests. - Clearly delineate observed empirical facts from unverified assumptions and prior beliefs. - For every candidate hypothesis, specify what empirical evidence is required to prove or falsify it. 3. **Dynamic Revision & Branch Management**: - When new evidence conflicts with an earlier premise, explicitly register a revision: `Revision: Revising Thought [K] because [Empirical Reason]`. - When multiple competing hypotheses remain viable, branch exploration explicitly and track parallel threads until sufficient evidence eliminates alternatives. 4. **Falsification & Negative Evidence Testing**: - Actively search for contradictory facts,