技能详情（站内镜像，无评论）
作者：走过 @1970168137
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 85 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1970168137/china-apparel-and-accessories-sourcing
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, data, and runtime instructions are coherent with its stated purpose (a data-driven sourcing guide) and do not request credentials, install external software, or perform unexpected actions.
目的
Name/description (China apparel & accessories sourcing) matches what is provided: a bundled data.json and a small Python API (do.py) exposing read-only access to industry, supply-chain, and regional cluster data. No unrelated capabilities (cloud access, system administration, messaging, etc.) are requested.
说明范围
SKILL.md and do.py restrict behavior to serving local structured content and examples for querying it. Instructions do not direct reading unrelated system files, contacting external endpoints, or exfiltrating data. The SKILL.md explicitly states cluster-level intelligence and no individual contacts.
安装机制
There is no install specification; the skill is instruction/code-only and reads a local JSON file. No downloads, package installs, or archive extraction are present.
证书
The skill declares no required environment variables, credentials, or config paths and the code does not access environment secrets. Requested privileges are minimal and proportionate to providing local reference data.
持久
always is false and the skill is user-invocable (normal). disable-model-invocation is false (default autonomous invocation allowed) — this is expected and not combined with any broad credential access or other privileged actions.
综合结论
This skill appears coherent and low-risk: it only reads local data.json and exposes read-only helper functions. Before installing, consider: 1) verify the data sources and currency (SKILL.md names government and industry bodies—ensure you trust those citations and that licensing permits your use); 2) if you need supplier/contact-level information or live queries, note the skill explicitly does not provide individual factory contacts; 3) becaus…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「China Apparel & Accessories Sourcing」。简介：Comprehensive apparel and accessories industry sourcing guide for international…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1970168137/china-apparel-and-accessories-sourcing/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: china-apparel-and-accessories-sourcing
version: 1.0.0
description: "Comprehensive apparel and accessories industry sourcing 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: "sourcing-china"
tags:
- apparel
- garments
- clothing
- footwear
- bags
- accessories
- fashion
- textile
- sourcing
- supply-chain
invocable: true
---
# China Apparel & Accessories Sourcing 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).
- **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 apparel industry in 2026?"
- "Show me the supply chain structure for clothing"
- "Which regions are best for sourcing 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 `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 apparel and accessories 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.