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Use the 'Dialysis Prism' framework to penetrate the surface of problems and identify their root causes. Resolve persistent recurring issues through three steps: calibrating Goal B, reconstructing Method A, and eliminating Variable C. It applies to scenarios where the same problem keeps recurring despite various attempted solutions, as well as analytical scenarios that require precise problem definition before resolution. Use this skill when you find that 'patchwork' solutions are ineffective. It is not suitable for scenarios in entirely new fields with no historical methods to reference, nor for purely uncertain events (which fall under the probability/risk domain and require the use of mirror-world). Key trigger signals: 'Why does this problem happen again?', 'Why can't we solve it for good?', 'I've tried so many methods but none work', 'What exactly is the root cause of this problem?'
npx skill4agent add kangarooking/cognitive-dividend-skill dialysis-prismA "problem" is the gap between expectation and current state. Suppose the expected value of something is B, and the current state is B′, then the gap (B′→B) is the problem. ... To solve this problem, you shouldn't focus on B′→B; instead, you need to look through B′ at ABC, which I call the "Dialysis Prism". ... Step 1: Calibrate Goal B: The goal must comply with the SMART principle, and avoid treating means as goals. Step 2: Reconstruct Method A: To change the current state, don't add a new solution based on the current state; instead, go back and reconstruct the original method system. Step 3: Eliminate Variable C: Use the basic framework of "Xiang (Phenomenon), Shu (Data), Li (Principle)" to find it, and dig out the real cause through the 5Why questioning method. —— Chapter 17: Dialysis Prism