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tushare-data

Translate Chinese finance questions into executable Tushare data workflows.

52|3|Updated Apr 3, 2026
Search Tags:#finance#stock-data#tushare#data-workflow#nlq#chinese-language
One-click install
npx skills add https://github.com/Zhow01/SkillAttack --skill tushare-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tushare-data
Source: https://github.com/Zhow01/SkillAttack/tree/main/data/hot100skills/054_lidayan_tushare-data
Command: npx skills add https://github.com/Zhow01/SkillAttack --skill tushare-data

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tushare, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Chinese natural-language finance requests often require translating high-level questions into concrete data retrieval and analysis pipelines. This skill automates turning such queries into executable Tushare workflows, bridging natural language and data-backed insights.

Core Features & Use Cases

  • Converts Chinese finance queries into automated data pipelines using Tushare.
  • Handles stock trends, fundamentals, sector comparison, fund flows, and macro data, with export-ready outputs.
  • Includes ready-made scripts to fetch, clean, and export data for quick analyses.

Quick Start

Provide a natural-language finance query in Chinese and the skill will generate a corresponding Tushare data workflow to fetch, clean, compare, and export results.

Frequently Asked Questions about tushare-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert Chinese natural language queries into stock data workflows?▼

To convert Chinese natural language queries into stock data workflows, you provide the text request to the skill, which automatically translates it into executable Python pipelines using Tushare and pandas to fetch, clean, and export finance data.

What finance data can I retrieve using Tushare and pandas for market analysis?▼

Using Tushare and pandas for market analysis, you can retrieve stock trends, company fundamentals, sector comparisons, fund flows, and macroeconomic indicators, generating export-ready datasets for your analysis.

Do I need a specific token to fetch Tushare data for fundamentals and fund flows?▼

Yes, you need a Tushare token configured via the TUSHARE_TOKEN environment variable to authenticate and fetch data for fundamentals and fund flows through the locally generated Python scripts.

Does this tool support exporting cleaned stock trend data for macro indicators?▼

Yes, the tool supports exporting cleaned stock trend data and macro indicators by generating local Python scripts that process raw Tushare responses into export-ready output files for your workflows.

What is the best way to compare Chinese stock sectors using Tushare data?▼

The best way to compare Chinese stock sectors using Tushare data is to input a natural language comparison request, letting the skill generate a pandas-based pipeline to fetch, process, and analyze the relevant sector metrics.

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