What problem does it solve? Complex problems often get shallow, linear 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 with revision, branching, and hypothesis verification. ## Core Features & Use Cases - Structured Thought Sequences: Break problems into numbered thoughts with dynamic adjustment of the total as understanding evolves. - Revision and Branching: Mark revisions of earlier thoughts, explore alternative branches, and converge with explicit decision rationale. - Hypothesis Verification: Generate and test hypotheses systematically for debugging and root cause analysis. - Optional Node.js Scripts: Validate, track, and format thoughts deterministically with persistent history via process-thought.js and format-thought.js. - Use Case: When debugging a slow API endpoint, use the methodology to branch between N+1 query and missing-index hypotheses, verify each with profiling data, and converge on the confirmed root cause before implementing a fix. ## Quick Start Ask the AI to analyze your complex problem step by step using sequential thinking with visible thought markers and revisions.
