china-pptx-author
This Claude Code skill generates professional investment analysis presentations for Chinese A-share listed companies by dynamically fetching live financial data, stock quotes, and peer valuations from financial APIs like iFind and AkShare. Use it when you need to quickly create data-driven PowerPoint decks analyzing specific Chinese publicly traded companies, with customizable inputs for company name, ticker code, and output file path.
git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn /tmp/china-pptx-author && cp -r /tmp/china-pptx-author/agent-plugins/china-market-researcher/skills/china-pptx-author ~/.claude/skills/china-pptx-authorSKILL.md
# china-pptx-author
## Purpose
Generate professional **A股投资分析PPT** for any listed company.
This skill is a generic engine — every output is driven by two parameters:
| Parameter | Example | Description |
|-----------|---------|-------------|
| `{{COMPANY_NAME}}` | {{COMPANY_NAME}} | Full Chinese company name (e.g., 贵州茅台) |
| `{{TICKER}}` | {{TICKER}} | 6-digit A-share code (e.g., 600519) |
| `{{OUTPUT_PATH}}` | ./output.pptx | Where to save the PPTX file |
All financial figures, price data, peer valuations, and company descriptions are
fetched live from iFind / AkShare / public APIs. **Nothing is hardcoded.**
---
## Data Pipeline
### Step 1: Resolve Company Info
```python
# MCP tool: search_stock
search_stock(keyword="{{COMPANY_NAME}}")
# → confirms ticker, exchange (SH/SZ), full legal name
```
```python
# MCP tool: get_quote
get_quote(ticker="{{TICKER}}")
# → live price, PE, PB, market cap, turnover, 52-week range
```
```python
# MCP tool: get_financials
get_financials(ticker="{{TICKER}}", statement_type="income", period="annual")
# → annual income statement: revenue, net profit, margins, EPS, etc.
get_financials(ticker="{{TICKER}}", statement_type="balance", period="annual")
# → balance sheet: assets, liabilities, equity
get_financials(ticker="{{TICKER}}", statement_type="cashflow", period="annual")
# → cash flow statement
```
```python
# MCP tool: get_historical_data
get_historical_data(ticker="{{TICKER}}", frequency="weekly", start_date="{{START_DATE}}", end_date="{{END_DATE}}")
# → OHLCV price history for trend charts
```
```python
# MCP tool: get_industry_stocks
get_industry_stocks(industry="{{INDUSTRY_NAME}}")
# → peer companies in the same sector for comps analysis
```
### Step 2: Fetch Peer Data
```python
# For each peer returned by get_industry_stocks, call get_quote to get PE/PB
# Focus on top 5-8 comparable companies by revenue/market cap
```
### Step 3: Generate Charts
Use matplotlib to create:
1. **Revenue & Profit trend** — from `get_financials(income)`
2. **Margin trends** — gross margin, net margin, ROE over time
3. **Growth rates** — YoY revenue and profit growth
4. **Peer comparison** — horizontal bar chart of PE and PB vs peers
5. **Price trend** — from `get_historical_data`
6. **Valuation range** — football field based on peer PE distribution
All chart titles and labels must include `{{COMPANY_NAME}}` dynamically.
---
## Presentation Structure
The default deck is **12 slides**. Adjust sections based on `deck_type` parameter.
### Template (parameterized)
```
Slide 1: Cover
{{COMPANY_NAME}} ({{TICKER}}.{{EXCHANGE}})
{{REPORT_TITLE}} | {{DATE}}
机密文件 | 仅供内部参考
Slide 2: 投资摘要 (Investment Highlights)
• {{HIGHLIGHT_1}}
• {{HIGHLIGHT_2}}
• {{HIGHLIGHT_3}}
目标价: ¥{{TARGET_PRICE_LOW}} - ¥{{TARGET_PRICE_HIGH}}
评级: {{RATING}}
Slide 3: 公司概览 (Company Overview)
{{COMPANY_DESCRIPTION}}
主营业务: {{MAIN_BUSINESS}}
成立时间 | 上市板块 | 控股股东 (all from search_stock / get_quote)
Slide 4: 行业分析 (Industry Overview)
{{INDUSTRY_NAME}} — market size, trends, policy
Data from: get_industry_stocks result analysis
Slide 5: 财务分析 (Financial Summary)
[Chart: Revenue & Profit] [Chart: Margin Trends]
[Chart: Growth Rates]
All data from get_financials(income, annual)
Slide 6: 运营指标 (Operating Metrics)
Segment breakdown, KPIs (if available from financials)
Slide 7: 可比公司估值 (Trading Comparables)
[Chart: Peer PE/PB comparison]
Table: Peer | Market Cap | P/E | P/B | EV/EBITDA
Slide 8: 估值分析 (Valuation)
[Chart: Football field]
DCF / PE / PB ranges derived from peer analysis
Slide 9: 投资逻辑 (Investment Thesis)
3-5 key investment bullets derived from data analysis
Slide 10: 风险提示 (Risk Factors)
Generic risk categories, customized from industry context
Slide 11: 投资建议 (Recommendation)
评级 + 目标价 range + upside calculation
Slide 12: 免责声明 (Disclaimer)
Standard A-share research disclaimer
```
### Deck Type Variants
| deck_type | Slides | Audience | Key sections |
|-----------|--------|----------|--------------|
| `pitch` | 12 | Clients/Investors | Full deck above |
| `deep_dive` | 20-30 | Internal IC | Add: detailed financial model, sensitivity, scenario analysis |
| `initiation` | 15-20 | Internal | Emphasize: company overview, industry, thesis |
| `sector` | 10-15 | Internal | Emphasize: industry analysis, peer comparison |
| `morning_note` | 5-8 | Internal | Condensed: key data, thesis, recommendation |
---
## Design Standards
| Element | Standard |
|---------|----------|
| 模板 | Corporate blue/gold theme (configurable) |
| 字体 | 微软雅黑 / system default sans-serif |
| 字号 | Title 24-32pt, Body 12-16pt |
| 配色 | Primary: #1A3C6E (deep blue), Accent: #C8A032 (gold) |
| 每页标题 | Chinese + English bilingual |
| 数据来源 | Cite at bottom of each data slide |
| 页码 | Bottom center |
| 免责声明 | Last slide, mandatory |
---
## Content Rules
| Rule | Guideline |
|------|-----------|
| 每页一个主题 | One idea per slide |
| 标题先行 | Clear headline at top of every slide |
| 数据可视化 | Charts > tables > text |
| 中文为主 | Primary language Chinese, with English subtitles |
| 术语统一 | Use standard A-share terminology (see below) |
| 不编造数据 | If data unavailable from API, show "N/A" or omit |
### A-Share Terminology
| English | Chinese |
|---------|---------|
| Revenue | 营业收入 |
| Net income (attributable) | 归母净利润 |
| Gross margin | 毛利率 |
| Net margin | 净利率 |
| ROE | ROE (净资产收益率) |
| EPS | 每股收益 |
| P/E | 市盈率 |
| P/B | 市净率 |
| Target price | 目标价 |
| Rating | 评级 |
| Upside | 上行空间 |
| YoY | 同比 |
| QoQ | 环比 |
| Market cap | 总市值 |
| Turnover | 换手率 |
---
## Quality Checklist
Before delivering the PPT:
- [ ] All `{{PLACEHOLDER}}` replaced with live data
- [ ] Charts readable, labeled, sourced
- [ ] Numbers consistent across slides (revenue matches across chart/table/text)
- [ ] Company name and ticker correct throughout
- [ ] Peer data reflects actual industry comparables
- [ ] Disclaimer slide included
- [ ] File named: `{{COMPANY_Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".
Clean and normalize A-share financial data for modeling. Adapts the original clean-data-xls skill for Chinese financial statements, CAS conventions, and A-share data formats. Triggers on "A股数据清洗", "财务数据清洗", "clean financial data China", "数据清洗", or "normalize financial statements".
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.