China Apparel & Accessories Suppliers
/install china-apparel-and-accessories-suppliers
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China Apparel & Accessories Factory Skill\r
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Description\r
This skill helps international buyers navigate China's apparel and accessories manufacturing landscape, which is projected to exceed ¥5.8 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. Coverage includes garments, footwear, bags, hats, scarves, fashion accessories, and more.\r \r
Key Capabilities\r
- Industry Overview: Get a summary of China's apparel and accessories industry scale, development targets, and key policy initiatives (digital transformation, sustainability, brand building).\r
- Supply Chain Structure: Understand the complete industry chain from raw materials (fibers, fabrics, trims) to manufacturing and sales channels (domestic retail, cross-border e-commerce).\r
- Regional Clusters: Identify specialized manufacturing hubs for different product categories (women's wear in Guangzhou, men's wear in Ningbo, sportswear in Fujian, accessories in Yiwu).\r
- Subsector Insights: Access detailed information on key subsectors (garments, footwear, bags/luggage, accessories, intimate apparel).\r
- Factory Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, typical lead times, and payment terms.\r \r
How to Use\r
You can interact with this skill using natural language. For example:\r
- "What's the overall status of China's apparel industry in 2026?"\r
- "Show me the supply chain structure for clothing"\r
- "Which regions are best for suppliers footwear?"\r
- "Tell me about garment manufacturing clusters in the Yangtze River Delta"\r
- "How do I evaluate suppliers of bags and luggage?"\r
- "What certifications should I look for in sustainable apparel?"\r \r
Data Sources\r
This skill aggregates data from:\r
- Ministry of Industry and Information Technology (MIIT)\r
- China National Textile and Apparel Council (CNTAC)\r
- China Leather Industry Association\r
- National Bureau of Statistics of China\r
- Industry research publications (updated Q1 2026)\r \r
Implementation\r
The skill logic is implemented in run.py, which reads structured data from data.json. All data is cluster-level intelligence without individual suppliers contacts.\r
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API Reference\r
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The following Python functions are available in run.py for programmatic access:\r
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get_industry_overview() -> Dict\r
Returns overview of China's apparel and accessories industry scale, targets, and key policy initiatives.\r \r Example:\r
from do import get_industry_overview\r
result = get_industry_overview()\r
# Returns: industry scale, 2026 targets, key drivers, export value, etc.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install china-apparel-and-accessories-suppliers - After installation, invoke the skill by name or use
/china-apparel-and-accessories-suppliers - Provide required inputs per the skill's parameter spec and get structured output
What is China Apparel & Accessories Suppliers?
Comprehensive apparel and accessories industry suppliers guide for international buyers – provides detailed information about China's garment, footwear, bag,... It is an AI Agent Skill for Claude Code / OpenClaw, with 156 downloads so far.
How do I install China Apparel & Accessories Suppliers?
Run "/install china-apparel-and-accessories-suppliers" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is China Apparel & Accessories Suppliers free?
Yes, China Apparel & Accessories Suppliers is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does China Apparel & Accessories Suppliers support?
China Apparel & Accessories Suppliers is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created China Apparel & Accessories Suppliers?
It is built and maintained by findhappy7 (@findhappy7); the current version is v1.0.1.