mj-rank

What problem does it solve?

This skill solves the common pain point of being unable to identify the fundamental, irreducible drivers that hold an entire domain together, cutting through disconnected surface-level phenomena and pseudo-factors to find the minimal set of core generators that can explain all observed outcomes in the field.

Core Features & Use Cases

• 7-step deep penetration process: Systematically drills past surface-level "key factors" to uncover root-level generators, avoiding the common failure of stopping at superficial elements.
• Deutsch dual validation: Enforces David Deutsch's criteria of explanatory reach (ability to predict unseen real-world phenomena) and hard-to-vary (no detail can be changed without breaking predictions) to ensure found generators are true roots, not pseudo-factors.
• Adaptive output formatting: Generates structured rank reports with ASCII skeleton diagrams tailored to the shape of the identified root rank (e.g., drilling profiles, feedback loops, coordinate systems) for maximum clarity.
• Use case: For example, when analyzing the "startup" domain, this skill cuts through surface factors like vision, execution, and team to find the 2-3 irreducible generators that explain every observed startup success or failure pattern, and can even predict unseen market outcomes.

Quick Start

Invoke the mj-rank skill with the prompt "降秩：[your target domain, e.g., SaaS, education, personal productivity]" to receive a full decomposition of the domain's core irreducible generators and a structured, validated rank report.