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Skill424 repo starsupdated 3d ago

china-sector-overview

The china-sector-overview skill generates comprehensive reports on Chinese A-share industries and sectors, delivering analysis of market size, competitive positioning, regulatory environment, key listed players, trading multiples, and emerging trends. Use this skill when analyzing specific A-share sectors like liquor, semiconductors, or new energy vehicles, requiring detailed competitive benchmarking, financial metrics across peer companies, and thematic investment context for the Chinese equity market.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn /tmp/china-sector-overview && cp -r /tmp/china-sector-overview/agent-plugins/china-market-researcher/skills/china-sector-overview ~/.claude/skills/china-sector-overview
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# china-sector-overview

## Purpose

Create comprehensive **A股行业/板块深度报告** covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.

## Data Sources

### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)

```python
get_industry_stocks(industry="白酒")     → 板块成分股
get_quote(ticker)                        → 个股行情、估值
get_financials(ticker, "income")         → 财务数据对比
get_index_data("000001")                 → 大盘基准
# News (china-news MCP — separate server)
get_stock_news(ticker="{{TICKER}}")          → 行业新闻
get_market_overview()                    → 涨幅榜/成交额榜
```

### Secondary Sources

| Source | Use |
|--------|-----|
| 东方财富行业板块 | Industry classification, sector indices |
| 巨潮资讯 | Company filings for competitive analysis |
| 国家统计局 / 海关总署 | Macro data (industry output, trade) |
| 行业协会 (中汽协, 硅业分会, etc.) | Sector-specific statistics |
| Wind / Choice / 同花顺 | Comprehensive sector data |
| 券商研报 | Analyst consensus and frameworks |

## Workflow

### Step 1: Define Scope & Angle

**Clarify:**
- Sector / industry focus (e.g., 白酒, 半导体, 新能源汽车)
- Angle (e.g., investment theme, competitive analysis, turnaround story)
- Geographic scope (A-share only, or include HK-listed / US-listed Chinese)
- Time horizon (cyclical analysis, secular trends, near-term trade)

### Step 2: Market Size & Structure

**Industry overview:**

| Metric | Data | Source |
|--------|------|--------|
| Total market size | 市场规模 (亿元/亿元) | 国家统计局, 行业协会 |
| Growth rate | 同比增速 / CAGR | Historical data |
| Market share | CR5, CR10 concentration | Company filings |
| Penetration rate | For new industries | Industry reports |
| Export/import | 进出口数据 | 海关总署 |

**A-share representation:**
- Number of listed companies in sector
- Total market cap (总市值 / 流通市值)
- Average PE / PB multiples
- Liquidity (average daily turnover)

### Step 3: Competitive Landscape

**Peer mapping:**

```python
# Get all stocks in an industry
get_industry_stocks(industry="白酒")
```

**For each major player, pull:**
```python
get_quote(ticker)           → Price, market cap, multiples
get_financials(ticker)      → Revenue, margins, growth
get_stock_info(ticker)      → Business description
```

**Competitive analysis table:**

| Company | Ticker | Market Cap (亿) | Revenue (亿) | YoY Growth | Gross Margin | Net Margin | PE (TTM) | Market Share |
|---------|--------|----------------|-------------|------------|-------------|------------|----------|-------------|
| | | | | | | | | |

**Competitive positioning:**
- Market share trends (gaining or losing)
- Product positioning (premium, mid-tier, mass market)
- Geographic footprint (national vs regional)
- Distribution strength (渠道能力)
- Brand equity (品牌力)

### Step 4: Trading Multiples & Valuation

**Sector multiples:**

| Metric | Current | 1Y High | 1Y Low | 5Y Average | Historical High | Historical Low |
|--------|---------|---------|--------|------------|----------------|----------------|
| Average PE | | | | | | |
| Average PB | | | | | | |
| Average PS | | | | | | |
| EV/EBITDA | | | | | | |

**Multiple dispersion:**
- Premium names (high multiple vs sector)
- Value names (low multiple vs sector)
- Historical range and where we are in cycle

### Step 5: Policy Environment

**China-specific policy analysis:**

| Policy Area | Current Status | Impact |
|-------------|---------------|--------|
| 产业政策 | 支持/限制/中性 | Direct sector impact |
| 环保政策 | 双碳目标 | Cost structure impact |
| 监管政策 | 集采/反垄断 | Margin / market share impact |
| 补贴政策 | 新能源/半导体补贴 | Competitiveness impact |
| 货币政策 | 宽松/中性/紧缩 | Financing cost impact |

**Key regulatory bodies:**
- 发改委 (NDRC) — industrial policy, pricing
- 工信部 (MIIT) — manufacturing, tech, telecom
- 生态环境部 (MEE) — environmental compliance
- 卫健委 (NHC) — healthcare, pharmaceuticals
- 证监会 (CSRC) — capital markets
- 央行 (PBoC) — monetary policy

### Step 6: Key Drivers & Trends

**Secular trends (3-5 year):**
- Technology adoption (技术替代)
- Consumption upgrade/downgrade (消费升级/降级)
- Demographic shifts (人口结构)
- Supply chain localization (供应链国产化)
- Environmental transition (双碳/ESG)

**Cyclical factors:**
- Inventory cycles (库存周期)
- Capacity utilization (产能利用率)
- Pricing trends (价格趋势)
- Demand momentum (需求 momentum)

### Step 7: Investment Themes

**Thematic angles:**

1. **Policy-driven**: 国产替代, 新基建, 乡村振兴
2. **Demand-driven**: 消费升级, 老龄化, 出海
3. **Supply-driven**: 产能出清, 行业整合, 龙头集中
4. **Technology-driven**: AI应用, 新能源, 生物医药创新

**For each theme:**
- Investment thesis
- Key names to express the theme
- Timeline and catalysts
- Risks and headwinds

### Step 8: Trading Ideas

**Ideas shortlist (from sector overview):**

| Idea | Ticker | Direction | Thesis | Catalyst | Risk |
|------|--------|-----------|--------|----------|------|
| | | Long / Short | | | |

### Step 9: Report Structure

**Standard A-share sector overview format:**

```
【XX证券】[行业] 深度报告:[标题]

一、行业概述
   市场规模、增速、发展阶段

二、竞争格局
   主要玩家、市场份额、竞争要素

三、政策环境
   监管框架、产业政策、影响分析

四、财务分析
   行业盈利能力、ROE、杠杆水平

五、估值分析
   当前 multiples vs 历史 vs 国际对标

六、核心驱动因素
   长期趋势、短期催化、周期位置

七、投资建议
   重点标的、目标价、评级

八、风险提示
   政策风险、需求风险、竞争风险
```

## China-Specific Considerations

### A-share Market Structure

| Feature | Description | Implication |
|---------|-------------|-------------|
| 涨跌停限制 | ±10% (main), ±20% (创业板/科创板) | Price discovery slower |
| 散户占比高 | Retail ~60-80% of turnover | More sentiment-driven |
| 政策驱动 | Government announcements move markets | Monitor policy closely |
| 板块轮动 | Sector rotation common | Timing important |
| 北向资金 | Foreign inflows tracked daily | Sentiment indicator |

### Industry Classification

**Common sector classifications:**
- 申万行业分类 (SW Industry) — most widely used
- 中信行业分类 (CITIC) — alternative
- 证监会行业分类 — regulatory standard
- 东方财富行业 — data vendor specific

**Use `get_industry_stocks(industry="...")` with Chinese industry names.**

### Sector-Specific Metrics

| Sector | Key Metrics |
|--------|-------------|
| 白酒 | 批价, 库存, 回款, 动销, 渠道库存 |
| 半导体 | 产能利用率, 出货量, ASP, 库存天数 |
china-3-statement-modelSkill

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.

china-accrual-scheduleSkill

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]".

china-audit-xlsSkill

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]".

china-break-traceSkill

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".

china-catalyst-calendarSkill

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]".

china-clean-data-xlsSkill

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".

china-comps-analysisSkill

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]".

china-compsSkill

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.