china-pptx-author

name

china-pptx-author

description

Generic PowerPoint authoring skill for A-share investment analysis and pitch decks. Creates professional 路演PPT / 投资分析PPT for any A-share company using live data from iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback) tools. All company-specific values are parameterized — never hardcoded. Triggers on "A股PPT制作", "投资PPT", "制作PPT", "路演PPT", "pitch deck", "PowerPoint [company/ticker]", or any request to create slides for a Chinese stock. When invoked, use the `generate_a_share_ppt` script with --company and --ticker args.

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

# MCP tool: search_stock
search_stock(keyword="{{COMPANY_NAME}}")
# → confirms ticker, exchange (SH/SZ), full legal name

# MCP tool: get_quote
get_quote(ticker="{{TICKER}}")
# → live price, PE, PB, market cap, turnover, 52-week range

# 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

# 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

# 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

# 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_NAME}}_{{TICKER}}_{{REPORT_TITLE}}.pptx

---

Usage

Invoke the generation script (from project root):

cd {{PROJECT_ROOT}} && python3 scripts/generate_a_share_ppt.py \
  --company "{{COMPANY_NAME}}" \
  --ticker "{{TICKER}}" \
  --industry "{{INDUSTRY_NAME}}" \
  --output "{{OUTPUT_PATH}}" \
  --type {{DECK_TYPE}} \
  --title "{{REPORT_TITLE}}"

Required args: --company, --ticker Optional: --industry (for peer lookup), --output, --type (pitch/deep_dive/initiation), --title

If --industry is omitted, the script attempts to infer it from the company's sector classification.

Data Source Mode Switch: Set env var IFIND_DATA_SOURCE_MODE to control data source preference.

• ifind-only (strict): Use iFind only, error if unavailable
• ifind-fallback (default): iFind preferred, fallback to AkShare
• akshare-only, wind-only (Wind only), wind-fallback (Wind first, fallback to iFind → AkShare): Skip iFind, use AkShare only