What problem does it solve? Complex problems often get shallow, single-pass answers that miss edge cases, wrong assumptions, or better alternatives. This Skill provides a structured sequential thinking methodology that breaks problems into tracked thought sequences, supports revising earlier conclusions, branching into alternative approaches, and verifying hypotheses before concluding. ## Core Features & Use Cases - Structured Thought Sequences: Numbered thoughts (e.g., Thought 3/7) with dynamic expansion or contraction of the total as understanding evolves. - Revision & Branching: Explicit markers for revising prior thoughts and exploring parallel branches (BRANCH A/B) with convergence rationale. - Hypothesis Verification Loop: Generate, test, and refine hypotheses systematically for debugging and root cause analysis. - Optional Node.js Scripts: process-thought.js validates and tracks thought history; format-thought.js renders thoughts in box, simple, or markdown formats. - Use Case: When debugging a slow API endpoint, use the methodology to profile each query, branch into competing hypotheses (N+1 vs missing index), verify the actual root cause, and only then implement the fix. ## Quick Start Ask the assistant to analyze your complex problem step by step using sequential thinking with visible thought markers and revisions.
