메뉴
获取中国金融市场数据（A股、港股、美股、基金、期货、债券）。支持220+个Tushare Pro接口：股票行情、财务报表、宏观经济指标。当用户请求股价数据、财务分析、指数行情、GDP/CPI等宏观数据时使用。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.
Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/author/DOI, explore citation chains, get structured paper metadata (title, authors, abstract, citations, DOI, open access URL), fetch full text of open access papers, or conduct automated literature reviews with theme identification and synthesis. Triggers on requests involving academic search, paper lookup, citation analysis, literature review, research synthesis, or scholarly reference gathering.
Use AI4Scholar author tools to search scholars, inspect author profiles, retrieve an author's papers, compare experts, identify potential reviewers, map labs or collaborators, and verify whether an author is the correct person.
Use AI4Scholar auto_cite to add real citations to academic text and return formatted references and BibTeX. Trigger for automatic citation insertion, APA/IEEE/Vancouver/Nature citation support, reference generation, BibTeX export, or checking whether claims have real supporting papers.
Use AI4Scholar to trace citation networks: citing papers, references, PubMed related papers, backward/forward citation search, classic paper discovery, mechanism literature expansion, and reviewer-style citation gap checks.
| name | tushare-finance |
| description | 获取中国金融市场数据（A股、港股、美股、基金、期货、债券）。支持220+个Tushare Pro接口：股票行情、财务报表、宏观经济指标。当用户请求股价数据、财务分析、指数行情、GDP/CPI等宏观数据时使用。 |
| allowed-tools | ["Bash(python:*)","Read"] |
本 skill 通过 Tushare Pro API 获取中国金融市场数据，支持 220+ 个数据接口。
询问用户：是否已配置 Tushare Token？
如未配置，引导用户：
export TUSHARE_TOKEN="your_token"检查 Python 环境：
python -c "import tushare, pandas; print('OK')"
如报错，安装依赖：
pip install tushare pandas
| 数据类型 | 接口方法 | 说明 |
|---|---|---|
| 股票列表 | pro.stock_basic() | 获取所有股票列表 |
| 日线行情 | pro.daily() | 获取日线行情数据 |
| 财务指标 | pro.fina_indicator() | 财务指标（ROE等） |
| 利润表 | pro.income() | 利润表数据 |
| 指数行情 | pro.index_daily() | 指数日线数据 |
| 基金净值 | pro.fund_nav() | 基金净值数据 |
| GDP数据 | pro.gdp() | 国内生产总值 |
| CPI数据 | pro.cpi() | 居民消费价格指数 |
完整接口列表：查看 接口文档索引
reference/接口文档/[接口名].md 了解参数import tushare as ts
# 初始化（使用环境变量中的 Token）
pro = ts.pro_api()
# 调用接口
df = pro.daily(ts_code='000001.SZ', start_date='20241201', end_date='20241231')
接口索引：reference/README.md
接口文档按类别组织：