china-sportswear-outdoor-sourcing
Comprehensive sportswear and outdoor equipment sourcing guide for international buyers – provides detailed information about China's athletic apparel, footwear, outdoor gear, and accessories manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated).
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/china-sportswear-outdoor-sourcing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How china-sportswear-outdoor-sourcing Compares
| Feature / Agent | china-sportswear-outdoor-sourcing | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive sportswear and outdoor equipment sourcing guide for international buyers – provides detailed information about China's athletic apparel, footwear, outdoor gear, and accessories manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated).
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# China Sportswear & Outdoor Sourcing Skill ## Description This 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. ## Key Capabilities - **Industry Overview**: Get a summary of China's sportswear and outdoor industry scale, development targets, and key policy initiatives (National Fitness Program, winter sports legacy). - **Supply Chain Structure**: Understand the complete industry chain from functional fabrics, insulation, components to manufacturing and global sales channels. - **Regional Clusters**: Identify specialized manufacturing hubs (Fujian for footwear, Yangtze River Delta for outerwear and down, Pearl River Delta for sportswear). - **Subsector Insights**: Access detailed information on key subsectors (athletic apparel, outerwear, footwear, outdoor gear, accessories). - **Sourcing 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 sportswear industry in 2026?" - "Show me the supply chain structure for running shoes" - "Which regions are best for sourcing down jackets?" - "Tell me about tent manufacturing clusters" - "How do I evaluate suppliers of waterproof jackets?" - "What certifications should I look for in outdoor gear?" ## Data Sources This skill aggregates data from: - Ministry of Industry and Information Technology (MIIT) - China Sporting Goods Federation - China Textile Industry Federation - National Bureau of Statistics of China - 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 sportswear and outdoor industry scale, targets, and key policy initiatives. **Example:** ```python from do import get_industry_overview result = get_industry_overview() # Returns: industry scale, 2026 targets, key drivers, export value, etc.