What problem does it solve? Turning plain-language questions about Chinese stocks, funds, sectors, capital flows, and macro data into correct Tushare API calls is tedious and error-prone. This Skill interprets the user's intent, picks the right interfaces, retrieves and cleans the data, and delivers concise research summaries or exportable datasets. ## Core Features & Use Cases - Intent-driven data workflows: Maps requests like "how is this stock doing" or "which sector is strongest" to the right Tushare interfaces covering quotes, financials, valuation, money flow, sectors, announcements, news, and macro indicators. - Structured research output: Produces one-line conclusions, key metrics tables, risk notes, and exports results as CSV or Parquet with metadata for reuse and backtesting. - Robust retrieval rules: Handles entity resolution, date normalization, segmented fetching for long ranges, rate limiting, caching, and partial-failure reporting. - Use Case: Ask "compare Moutai, Wuliangye, and Luzhou Laojiao on one-year returns and valuation" and receive a normalized comparison table with a clear summary of which leads on each metric. ## Quick Start Ask the assistant to analyze a stock's recent performance, for example: "Show me how CATL has performed over the last three months and summarize the key numbers."