luyou666/china-housing-forecast-lite-skill

This is a structured prompt system, called a "Skill," designed to help AI assistants analyze the Chinese real estate market. It is not a traditional software application with code that runs on its own. Instead, it is a collection of structured instruction files that tell an AI how to think through housing price questions for cities and regions across China. The Skill operates in two modes. In the first mode, the user provides their own data, such as tables of prices or transaction volumes, and the AI applies the built-in scoring model to assess trends, cross-check the data, and produce probability estimates for how prices might move over three, six, twelve, or twenty-four months. In the second mode, the user can simply ask a question like "Is Beijing's second-hand housing market bottoming out?" and if the AI has internet access, it will search for recent public data before answering. The output follows a standard template that includes a table rating each data source by quality and freshness, a composite score, adjustments for economic and population factors, and separate probability estimates for price increases, sideways movement, and declines across different time horizons. It also separates advice for owner-occupiers from advice for investors and flags data gaps where information was unavailable. The README includes a plain-language section for first-time users, noting common misconceptions: interest rate cuts do not guarantee price rises, population inflow does not lift all neighborhoods equally, and asking prices on listings are not the same as actual sale prices. The project is explicit that it only uses publicly accessible data and cannot bypass paywalls or login restrictions. It is described as a tool for learning and discussion, not for investment advice, and carries a disclaimer to that effect.