# China PPTX Author

Generic PowerPoint authoring skill for A-share investment analysis and pitch decks.

- Repository: https://github.com/jwangkun/claude-for-financial-services-cn (881 stars)
- Category: Documents
- License: Apache-2.0
- Last updated: 2026-09-14
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add jwangkun/claude-for-financial-services-cn --skill china-pptx-author -g -a claude-code -y`
Codex: `npx skills add jwangkun/claude-for-financial-services-cn --skill china-pptx-author -g -a codex -y`
Cursor: `npx skills add jwangkun/claude-for-financial-services-cn --skill china-pptx-author -g -a cursor -y`
Gemini CLI: `npx skills add jwangkun/claude-for-financial-services-cn --skill china-pptx-author -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add jwangkun/claude-for-financial-services-cn`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

The rest: https://github.com/jwangkun/claude-for-financial-services-cn/blob/HEAD/agent-plugins/china-model-builder/skills/china-pptx-author/SKILL.md