China Electronic Components Factory Skill
Description
This skill helps international electronics buyers navigate China's electronic components manufacturing landscape, which is projected to exceed
¥5.2 trillion in revenue by 2026. It provides data-backed intelligence on regional clusters, supply chain structure, and industry trends based on the latest government policies and industry reports.
Key Capabilities
- - Industry Overview: Get a summary of China's electronic components industry scale and development targets.
- Supply Chain Structure: Understand the complete industry chain from raw materials to downstream applications.
- Regional Clusters: Identify specialized manufacturing hubs for different component types (semiconductors, passives, PCBs, connectors, sensors).
- Subsector Insights: Access detailed information on key subsectors (semiconductors, passive components, PCBs, connectors, sensors, etc.).
- Sourcing Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods and communication best practices.
How to Use
You can interact with this skill using natural language. For example:
- - "What's the overall status of China's electronic components industry in 2026?"
- "Show me the supply chain structure for electronic components"
- "Which regions are best for factory automotive-grade semiconductors?"
- "Tell me about MLCC manufacturing clusters"
- "How do I evaluate PCB suppliers in China?"
- "What certifications should I look for in sensor suppliers?"
Data Sources
This skill aggregates data from:
- - Ministry of Industry and Information Technology (MIIT) official policies
- National Bureau of Statistics of China
- China Electronic Components Association (CECA) annual reports
- Industry research publications (updated Q1 2026)
Implementation
The skill logic is implemented in
run.py, which reads structured data from
data.json. All data is cluster-level intelligence without individual factory contacts.
API Reference
The following Python functions are available in run.py for programmatic access:
get_industry_overview() -> Dict
Returns overview of China's electronic components industry scale, targets, and key policy initiatives.
Example:
```python
from run import getindustryoverview
result = getindustryoverview()
Returns: industry scale, 2026 targets, automation rates, key drivers, etc.
中国电子元件工厂技能
描述
该技能帮助国际电子买家了解中国电子元件制造业格局，预计到2026年该行业收入将超过
5.2万亿元人民币。它基于最新政府政策和行业报告，提供关于区域集群、供应链结构和行业趋势的数据驱动情报。
关键能力
- - 行业概览：获取中国电子元件行业规模和发展目标的摘要。
- 供应链结构：了解从原材料到下游应用的完整产业链。
- 区域集群：识别不同元件类型（半导体、无源元件、PCB、连接器、传感器）的专业制造中心。
- 子行业洞察：获取关键子行业（半导体、无源元件、PCB、连接器、传感器等）的详细信息。
- 采购建议：获得评估和选择供应商的实用指导，包括验证方法和沟通最佳实践。
使用方法
您可以使用自然语言与该技能互动。例如：
- - 2026年中国电子元件行业的整体状况如何？
- 展示电子元件的供应链结构
- 哪些地区最适合生产车规级半导体？
- 告诉我MLCC制造集群的信息
- 如何评估中国的PCB供应商？
- 传感器供应商应具备哪些认证？
数据来源
该技能聚合以下数据：
- - 工业和信息化部（MIIT）官方政策
- 中国国家统计局
- 中国电子元件行业协会（CECA）年度报告
- 行业研究出版物（更新至2026年第一季度）
实现方式
技能逻辑在run.py中实现，该文件读取data.json中的结构化数据。所有数据均为集群级情报，不包含单个工厂的联系方式。
API参考
以下Python函数可在run.py中通过编程方式访问：
getindustryoverview() -> Dict
返回中国电子元件行业规模、目标和关键政策举措的概览。
示例：
python
from run import getindustryoverview
result = getindustryoverview()
返回：行业规模、2026年目标、自动化率、关键驱动因素等
