Install
openclaw skills install china-sportswear-outdoor-sourcingComprehensive sportswear and outdoor equipment sourcing guide for international buyers – provides detailed information about China's athletic apparel, footwe...
openclaw skills install china-sportswear-outdoor-sourcingThis skill helps international buyers navigate China's sportswear and outdoor equipment manufacturing landscape, which is projected to exceed ¥1.2 trillion in revenue by 2026. China is the world's largest producer, supplying global brands and fast-growing domestic players. 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 athletic apparel (leggings, jerseys, sports bras), outerwear (jackets, down coats), footwear (running shoes, hiking boots), outdoor gear (tents, backpacks, sleeping bags), and accessories.
You can interact with this skill using natural language. For example:
This skill aggregates data from:
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.
The following Python functions are available in do.py for programmatic access:
get_industry_overview() -> DictReturns overview of China's sportswear and outdoor 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.