Cómo usar
- Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
- Consulta las herramientas, credenciales y entornos necesarios en el documento original.
- Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/jwangkun/claude-for-financial-services-cn --skill china-datapack-builderAntes de empezar
- La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
- Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.
china-datapack-builder
Purpose
Build professional A股投行数据包 (Data Pack) for investment banking workflows — M&A due diligence, IC review, deal execution.
Data Sources
Tier 0 — 万得 Wind(最全面付费数据)
- 覆盖:A股/港美股/基金/指数/债券/宏观/研报/分析(44个工具)
- MCP 服务:
wind-mcp(需WIND_API_KEY密钥,以ak_开头) - 优势:全市场覆盖面最广、数据最全面、包含研报和量化分析
- 密钥申请:https://aifinmarket.wind.com.cn/#/home
Tier 1 — 同花顺 iFind(付费精确数据)/ AkShare MCP(Tier-2 免费备选)
get_financials(ticker, "income", "annual") → P&L history
get_financials(ticker, "balance", "annual") → Balance sheet
get_financials(ticker, "cashflow", "annual") → Cash flow
get_quote(ticker) → Current valuation
get_historical_data(ticker) → Trading history
get_industry_stocks(industry="...") → Peer comparison
get_stock_info(ticker) → Company profileSecondary Sources
- 巨潮资讯 — mandatory filings (年报, 中报, 季报)
- 上交所 / 深交所 — announcements, filings
- 公司官网 — investor materials
- 企查查 / 天眼查 — corporate structure
- Wind / Choice — comprehensive data
Workflow
Step 1: Define Pack Scope
Data pack types:
| Pack Type | Purpose | Typical Content |
|---|---|---|
| Company overview | Initial target screening | Financials, profile, peers |
| Due diligence | Pre-deal deep dive | 3-statement, quality of earnings, debt |
| IC preparation | Investment committee | Executive summary, model, risks |
| M&A comps | Comparable transactions | Precedent deals, trading comps |
| Sector deep dive | Market context | Industry overview, competitive map |
Step 2: Gather Source Materials
Financial data collection:
# 3-5 years historicals
for year in range(2020, 2025):
get_financials(ticker, "income", "annual")
get_financials(ticker, "balance", "annual")
get_financials(ticker, "cashflow", "annual")Corporate information:
- 公司股权结构 (ownership structure)
- 子公司/参股公司 (subsidiaries / associates)
- 关联交易 (related party transactions)
- 对外担保 (guarantees)
- 诉讼仲裁 (litigation / arbitration)
Market data:
- Current and historical share price
- Trading volumes and liquidity
- Ownership breakdown (institutional, retail, 北向)
- Shareholder changes over time
Step 3: Normalize & Structure
Data normalization standards:
- Currency: All figures in CNY (人民币)
- Units: Consistent (亿元 preferred for large companies)
- Periods: Align fiscal years (typically Dec 31)
- Adjustments: Normalize for one-time items
Standard data pack sections:
Section 1: Executive Summary
- 1-page overview
- Key investment highlights
- Valuation summary
- Critical risks
Section 2: Company Overview
- Business description
- History and milestones
- Organizational structure
- Management team
- Shareholder structure
Section 3: Financial Summary
- Income statement (3-5 years)
- Balance sheet (3-5 years)
- Cash flow statement (3-5 years)
- Key ratios and metrics
- Revenue bridge
Section 4: Operating Metrics
- Revenue by segment
- Volume / unit data (if relevant)
- Capacity / utilization
- Geographic breakdown
Section 5: Quality of Earnings
- Revenue quality (cash conversion)
- Margin analysis
- One-time items identification
- Earnings sustainability
Section 6: Balance Sheet Analysis
- Asset quality
- Working capital efficiency
- Debt structure
- Off-balance sheet items
Section 7: Peer Comparison
- Trading multiples
- Financial metrics
- Operating metrics
- Valuation dispersion
Section 8: Transaction History
- Historical M&A
- Capital raising history
- Major corporate actions
Section 9: Risk Factors
- Company-specific risks
- Industry risks
- Regulatory risks
- Market risks
Step 4: Excel Workbook Structure
Recommended tabs:
| Tab | Content |
|---|---|
| 封面 (Cover) | Pack title, date, confidentiality |
| 摘要 (Summary) | Key data points, valuation |
| 利润表 (Income Statement) | Historical + projected |
| 资产负债表 (Balance Sheet) | Historical + projected |
| 现金流量表 (Cash Flow) | Historical + projected |
| 财务指标 (Key Metrics) | Ratios, growth rates |
| 可比公司 (Comparable Cos) | Peer analysis |
| 估值 (Valuation) | DCF, multiples, football field |
| 运营数据 (Operating Data) | Volume, capacity, etc. |
| 公司治理 (Governance) | Ownership, management, related party |
| 风险 (Risks) | Risk factor analysis |
Step 5: Quality Standards
Data integrity:
- [ ] All figures sourced from 巨潮 PDF or AkShare
- [ ] Cross-referenced against multiple sources where possible
- [ ] Adjustments documented
- [ ] No transcription errors
Formatting:
- [ ] Consistent formatting throughout
- [ ] Clear section headers
- [ ] Source citations in cell comments
- [ ] Professional appearance
Completeness:
- [ ] All sections relevant to deal type included
- [ ] Key risks identified and documented
- [ ] Valuation analysis complete
- [ ] Peer comparison adequate
China-Specific Considerations
Regulatory Filings
| Filing | Frequency | Source | Key Data |
|---|---|---|---|
| 年报 (Annual report) | Annual | 巨潮 | Full financials, MD&A, risks |
| 中报 (Semi-annual) | Semi-annual | 巨潮 | Condensed financials |
| 季报 (Quarterly) | Quarterly | 巨潮 | Condensed financials |
| 业绩预告 | As required | 巨潮 | Directional guidance |
| 重大事项公告 | Ad-hoc | 巨潮 | M&A, contracts, etc. |
Common Data Issues
| Issue | Solution |
|---|---|
| 千元 vs 元 units | Check 财务报表附注 for units |
| 合并 vs 母公司报表 | Use 合并报表 for group analysis |
| 非经常性损益 | Flag and normalize |
| 政府补助 | Identify and separate |
| 关联交易占比高 | Flag for due diligence |
Industry-Specific Data
| Industry | Special Data Needs |
|---|---|
| 白酒 | 批价数据, 渠道库存, 经销商数量 |
| 半导体 | 产能数据, 晶圆出货, 客户结构 |
| 新能源 | 装机量, 产能, 技术参数 |
| 医药 | 管线数据, 临床进展, 集采中标 |
| 房地产 | 可售资源, 去化率, 土储 |
Quality Checks
Before delivering:
- [ ] Data pack scope clearly defined
- [ ] All financials complete and accurate
- [ ] Source materials documented
- [ ] Adjustments transparent
- [ ] Peer comparison relevant
- [ ] Valuation analysis included
- [ ] Risk factors comprehensive
- [ ] Excel workbook well-structured
- [ ] Confidentiality notices included
Data Source Mode Switch: Set env varIFIND_DATA_SOURCE_MODEto control data source preference. -ifind-only(strict): Use iFind only, error if unavailable -ifind-fallback(default): iFind preferred, fallback to AkShare -akshare-only: Skip iFind, use AkShare only -wind-only: Wind only, error if unavailable -wind-fallback: Wind first, fallback to iFind → AkShare


