leet-mental

This workflow creates LeetCode mental models by anchoring an algorithm concept to a single real-world analogy. It produces a study guide that maps the problem statement to a solution strategy through a consistent metaphor, deep intuition, and visual diagrams.

Explaining LeetCode solutions with analogies works best by choosing one consistent metaphor to reduce cognitive load. This method produces a no-code mental-model explanation first, then incrementally translates that analogy into annotated code.

Yes, you can generate visual diagrams for algorithm explanations using mermaid. This workflow creates and validates mermaid diagrams with an automated check to ensure the visuals accurately map the mental model to the problem-solving strategy.

You translate an algorithm analogy into annotated code through a two-phase progressive depth approach. Phase 1 explores the analogy without code, and Phase 2 incrementally translates that mental model into annotated code that maps directly to the strategy.

This mental-model approach works for LeetCode problem statements where a single, powerful real-world analogy can be consistently applied. It requires selecting one metaphor that effectively maps the problem parameters to the desired solution strategy.