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China-Apparel & Accessories Factory

面向国际采购方,基于内置 data.json 提供中国服装、鞋类、箱包与配饰制造业的集群分布、供应链结构、细分行业趋势与供应商评估建议,通过 run.py 中的 Python 函数以自然语言问答方式返回行业信息。

findhappy7
findhappy7
热度 49.29
最近更新 2026-05-11 17:32:23
分类:知识依赖:代码执行 / 读写文件应用场景:研究 / 市场分析

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add china-apparel-and-accessories-factory
Metadata
name
china-apparel-and-accessories-factory
version
1.0.0
description
Comprehensive apparel and accessories industry factory guide for international buyers – provides detailed information about China's garment, footwear, bag, and fashion accessory manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated).
author
factory-china
tags
["apparel","garments","clothing","footwear","bags","accessories","fashion","textile","factory","supply-chain"]
invocable
true

China Apparel & Accessories Factory Skill

Description

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.

Key Capabilities

  • Industry Overview: Get a summary of China's apparel and accessories industry scale, development targets, and key policy initiatives (digital transformation, sustainability, brand building).
  • 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).
  • 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).
  • Subsector Insights: Access detailed information on key subsectors (garments, footwear, bags/luggage, accessories, intimate apparel).
  • Factory Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, typical lead times, and payment terms.

How to Use

You can interact with this skill using natural language. For example:

  • "What's the overall status of China's apparel industry in 2026?"
  • "Show me the supply chain structure for clothing"
  • "Which regions are best for factory footwear?"
  • "Tell me about garment manufacturing clusters in the Yangtze River Delta"
  • "How do I evaluate suppliers of bags and luggage?"
  • "What certifications should I look for in sustainable apparel?"

Data Sources

This skill aggregates data from:

  • Ministry of Industry and Information Technology (MIIT)
  • China National Textile and Apparel Council (CNTAC)
  • China Leather Industry Association
  • National Bureau of Statistics of China
  • 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 apparel and accessories industry scale, targets, and key policy initiatives.

Example:

from do import get_industry_overview
result = get_industry_overview()
# Returns: industry scale, 2026 targets, key drivers, export value, etc.