dongjian-insight

What problem does it solve?

This skill helps turn uncertain questions into disciplined, mechanism-rich insights by reconstructing the real question, surfacing hidden premises, and organizing the answer around a testable discriminator.

Core Features & Use Cases

• Reconstruct the real question behind prompts to reveal hidden assumptions and decision points.
• Build a clear mechanism showing how a phenomenon could operate across micro, meso, and macro levels.
• Supply a strongest counterargument, clearly state boundaries, and provide predictions or actions that can be tested.
• Integrate with references, benchmark rubrics, and an optional self-evaluation to guide revision.

Quick Start

Provide the prompt to the model and let it generate a structured eight-part output that includes the problem, premises, mechanism, counterargument, boundary, predictions, and a self-score.