Skill: 1970168137/china-electronic-components-sourcing (version 1.0.0)

--- name: china-electronic-components-sourcing version: 1.0.0 description: "Comprehensive electronic components industry sourcing guide for international buyers – provides detailed information about China's semiconductor, passive component, PCB, connector, and sensor manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated)." author: "sourcing-china" tags: - electronic-components - semiconductors - passives - PCBs - connectors - sourcing - supply-chain invocable: true --- # China Electronic Components Sourcing 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 sourcing 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 `do.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 `do.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 do import get_industry_overview result = get_industry_overview() # Returns: industry scale, 2026 targets, automation rates, key drivers, etc. ``` ### `get_supply_chain_structure() -> Dict` Returns the complete electronic components supply chain structure (upstream, midstream, downstream). **Example:** ```python from do import get_supply_chain_structure result = get_supply_chain_structure() # Returns: raw materials, manufacturing, application industries ``` ### `get_regional_clusters(region: Optional[str] = None) -> Union[List[Dict], Dict]` Returns all regional clusters or a specific cluster by name. - If `region` is None: returns list of all clusters - If `region` is specified: returns that cluster's details **Example:** ```python from do import get_regional_clusters all_clusters = get_regional_clusters() yangtze = get_regional_clusters("Yangtze River Delta") ``` ### `find_clusters_by_specialization(specialization: str) -> List[Dict]` Find clusters that specialize in a given component type. **Example:** ```python from do import find_clusters_by_specialization results = find_clusters_by_specialization("automotive semiconductors") ``` ### `get_subsector_info(subsector: str) -> Dict` Return detailed information about a specific electronic components subsector. **Example:** ```python from do import get_subsector_info mlcc_info = get_subsector_info("MLCC") semiconductor_info = get_subsector_info("semiconductors") ``` ### `get_sourcing_guide() -> Dict` Return supplier evaluation and sourcing best practices. **Example:** ```python from do import get_sourcing_guide guide = get_sourcing_guide() # Returns: evaluation criteria, verification methods, communication tips ``` ### `get_faq(question: Optional[str] = None) -> Union[List[Dict], Dict]` Return FAQ list or answer to a specific question. **Example:** ```python from do import get_faq all_faqs = get_faq() moq_faq = get_faq("MOQ") ``` ### `get_glossary(term: Optional[str] = None) -> Union[Dict, str]` Return glossary of terms or definition of a specific term. **Example:** ```python from do import get_glossary all_terms = get_glossary() mlcc_def = get_glossary("MLCC") ``` ### `search_data(query: str) -> List[Dict]` Simple search across all data for a query string. **Example:** ```python from do import search_data results = search_data("automotive") ``` ### `get_metadata() -> Dict` Return metadata about the data source and last update. **Example:** ```python from do import get_metadata meta = get_metadata() ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)