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Comprehensive footwear industry sourcing guide for international buyers – provides detailed information about China's athletic, leather, women's, children's,...

开发与 DevOps

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 · 79 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :良性 · OpenClaw :良性

Package:1970168137/china-shoes-sourcing

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

The skill's files and runtime instructions match its stated purpose (a local, read-only sourcing guide) and it does not request credentials, system access, or external installs.

目的

The name/description (China footwear sourcing) align with the included files: data.json contains industry data and do.py exposes read-only accessors. There are no unrelated credentials, binaries, or configuration requirements.

说明范围

SKILL.md describes queries and usage consistent with the data provided. The runtime instructions and examples only reference local functions and dataset access; they do not instruct the agent to read arbitrary files, call external endpoints, or collect unrelated system context.

安装机制

No install specification is present (instruction-only with packaged data and a small Python module). Nothing is downloaded or written at install time.

证书

The skill declares no required environment variables, credentials, or config paths. do.py only reads the bundled data.json and does not access environment or secret values.

持久

always is false and the skill does not request persistent/system-wide changes. disable-model-invocation is false (normal default) but the skill's local, read-only nature keeps risk low.

综合结论

This skill appears internally consistent and low-risk: it ships a local dataset and a small Python module that only reads that data. Before installing, verify provenance because the source and homepage are unknown (data accuracy and licensing matter for business decisions). If you will run the code in an environment with network access, consider reviewing or sandboxing it first; confirm future updates do not introduce network calls or credenti…

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 Shoes Sourcing」。简介:Comprehensive footwear industry sourcing guide for international buyers – provi…。
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-shoes-sourcing/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: china-shoes-sourcing
version: 1.0.0
description: "Comprehensive footwear industry sourcing guide for international buyers – provides detailed information about China's athletic, leather, women's, children's, and casual shoe manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated)."
author: "sourcing-china"
tags:
  - footwear
  - shoes
  - athletic-shoes
  - sneakers
  - leather-shoes
  - women-shoes
  - children-shoes
  - sourcing
  - supply-chain
invocable: true
---

# China Footwear Sourcing Skill

## Description
This skill helps international buyers navigate China's footwear manufacturing landscape, which accounts for approximately 60% of global shoe production and is projected to exceed **¥820 billion 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 athletic shoes, leather shoes, women's shoes, children's shoes, casual shoes, sandals/slippers, and safety footwear.

## Key Capabilities
- **Industry Overview**: Get a summary of China's footwear industry scale, development targets, and key policy initiatives (sustainability, automation, brand building).
- **Supply Chain Structure**: Understand the complete industry chain from raw materials (leather, textiles, soles) and components to manufacturing and global sales channels.
- **Regional Clusters**: Identify specialized manufacturing hubs (Fujian for athletic shoes, Guangdong for women's shoes, Zhejiang for leather shoes, etc.).
- **Subsector Insights**: Access detailed information on key subsectors (athletic, leather, women's, children's, casual, sandals/slippers, safety).
- **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 footwear industry in 2026?"
- "Show me the supply chain structure for athletic shoes"
- "Which regions are best for sourcing women's fashion shoes?"
- "Tell me about leather shoe manufacturing clusters"
- "How do I evaluate suppliers of children's shoes?"
- "What certifications should I look for in safety footwear?"

## Data Sources
This skill aggregates data from:
- Ministry of Industry and Information Technology (MIIT)
- China Leather Industry Association
- China Footwear 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 footwear 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.