What problem does it solve? It helps users interpret local Chinese governance news, power structures, and incentives, and apply those frameworks to personal decisions such as choosing a city for study, civil service posts, investment, retirement, or entrepreneurship. ## Core Features & Use Cases - Named analytical frameworks: Dual equilibrium, tiao-kuai matrix governance, rank-based resource allocation, positional power index, the "three mountains" (stability, investment attraction, debt), land finance loop, and government-enterprise quadrants. - Fourteen lazy-loaded reference modules: Covering national institutions, power operations, grassroots governance, life decisions, rezoning impacts, business environment comparison, bottom-up project promotion, innovation risk boundaries, and mega-project contests. - Scenario playbooks and anti-patterns: Quick paths A–L for common questions plus writing-style guidance to avoid vague AI output. - Use Case: Ask why a poor county keeps selling land and attracting investment, and receive a causal chain built on the three mountains, land finance loop, and rank-based resource allocation frameworks. ## Quick Start Ask the agent to use the nie-grassroots-logic skill to analyze why your county keeps attracting investment while carrying heavy debt, and request a causal chain, option comparison, and risk list.
