上海万行道和人工智能科技有限公司
Official@wanxingai · China
由上财校友创立的万行道和，是国内首批获国家与上海网信办双重算法备案的 AI 企业，核心团队有 10 年 + 科技研发经验。其 “万行一言” 是多智能体智能问答分析平台，“太一数据库” 可实现数据测评与合成，并提供全链路多模态数据支撑，已服务多家头部机构，以专属使命推动智能分析服务普惠化。
Agent Skills by 上海万行道和人工智能科技有限公司
Showing 7 vetted skills indexed across 1 GitHub repositories.
wanxingailocal-research
Search local notes and distinguish evidence from unsupported claims.
wanxingai财经分析工具包
Analyzes stocks with technical indicators, risk metrics, and investment recommendations using yfinance data.
wanxingaixlsx
Read, edit, convert, and generate Excel-compatible files from .xlsx, .xlsm, .csv, and .tsv inputs.
wanxingaiAutomate PDF text extraction, merging, and form filling with Python libraries.
wanxingaifrontend-design
Design production-grade frontend interfaces from user requirements.
wanxingaifront-tech-map
Generate SVG technology maps with provenance and confidence scoring.
wanxingaicomparable-company-analysis
Identify comparable companies for a target listed company and generate a structured competitive-analysis report.
Frequently Asked Questions About 上海万行道和人工智能科技有限公司
FAQPage SchemaWhat specific financial tasks can be performed using these capabilities?▼
Users can execute comprehensive competitive analysis by identifying comparable listed companies and generating structured reports. Additionally, the platform supports high-volume data processing for spreadsheet formats like .xlsx and .csv, alongside document extraction for financial reporting and form filling.
Which professional personas benefit most from these technical capabilities?▼
Financial analysts, investment researchers, and enterprise data architects are the primary users. These professionals leverage the platform to streamline document-heavy research, perform market benchmarking, and visualize complex technology landscapes through generated SVG maps.
What are the core prerequisites for integrating these document and analysis functions?▼
Integration requires access to the organization's proprietary platform environment. Users must provide structured input data, such as target company identifiers for financial analysis or source documents for extraction tasks, to trigger the underlying processing logic.