← Back to Skills Marketplace
1970168137

China Luggage Sourcing

by 走过 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
219
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install china-luggage-sourcing
Description
Comprehensive luggage and bag industry sourcing guide for international buyers – provides detailed information about China's travel luggage, handbags, backpa...
README (SKILL.md)

China Luggage Sourcing Skill

Description

This skill helps international buyers navigate China's luggage and bag manufacturing landscape, which accounts for over 60% of global production and is projected to exceed ¥680 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 travel luggage (suitcases), handbags, backpacks, business bags, and specialty bags.

Key Capabilities

  • Industry Overview: Get a summary of China's luggage industry scale, development targets, and key policy initiatives (sustainability, automation).
  • Supply Chain Structure: Understand the complete industry chain from raw materials (PC/ABS, leather, hardware) to manufacturing and global sales channels.
  • Regional Clusters: Identify specialized manufacturing hubs (Pearl River Delta for handbags, Yangtze River Delta for travel luggage, Fujian for backpacks).
  • Subsector Insights: Access detailed information on key subsectors (travel luggage, handbags, backpacks, business bags, specialty bags).
  • 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 luggage industry in 2026?"
  • "Show me the supply chain structure for travel luggage"
  • "Which regions are best for sourcing handbags?"
  • "Tell me about backpack manufacturing clusters"
  • "How do I evaluate suppliers of hard-side suitcases?"
  • "What certifications should I look for?"

Data Sources

This skill aggregates data from:

  • Ministry of Industry and Information Technology (MIIT)
  • China Leather Industry Association
  • China Luggage 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 luggage 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.
Usage Guidance
Functionally the package is coherent and low-risk: it ships static data and simple accessor functions that read the included data.json. Before installing consider: 1) provenance — the owner and homepage are not provided, so verify the data sources and licensing if you need authoritative information; 2) data freshness/accuracy — this is a static snapshot (last_updated 2026-03-15) and may not reflect future changes; 3) content scope — the skill states it does not include individual factory contacts; if you need supplier contacts or transactional tooling, this skill does not provide that; 4) if you plan to let agents invoke skills autonomously, review agent policies because autonomous agents could use this skill's outputs in downstream actions (the skill itself does not perform network calls or exfiltrate data). If you want additional assurance, inspect the files locally (already provided) or run them in a sandboxed environment.
Capability Analysis
Type: OpenClaw Skill Name: china-luggage-sourcing Version: 1.0.0 The skill is a purely informational tool providing intelligence on the Chinese luggage manufacturing industry. The implementation in `do.py` safely reads from a local `data.json` file and contains no network calls, file system modifications, or high-risk execution patterns. The documentation in `SKILL.md` is consistent with the code's functionality and lacks any prompt-injection attempts.
Capability Assessment
Purpose & Capability
Name, description, SKILL.md, data.json, and do.py all align: the package serves static, cluster-level sourcing intelligence for luggage. There are no unrelated required env vars, binaries, or config paths. Note: the publisher/homepage are not provided (provenance is unknown), but this affects trustworthiness of content rather than coherence.
Instruction Scope
SKILL.md limits the skill to providing industry overviews, cluster info, subsector details, and sourcing guidance. The runtime instructions and code operate on the included data.json and do not instruct the agent to read other system files, environment variables, or send data to external endpoints.
Install Mechanism
There is no install spec (instruction-only style), and the included code/data are local files. Nothing is downloaded or extracted at install time. This is low-risk from an install perspective.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not access secrets. The requested environment privileges are minimal and proportionate to the described functionality.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not modify other skills or system-wide settings and only reads its own local data.json. No persistent elevated privileges are requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install china-luggage-sourcing
  3. After installation, invoke the skill by name or use /china-luggage-sourcing
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of china-luggage-sourcing skill: - Provides a comprehensive sourcing guide for international buyers in the bags and luggage industry, updated to 2026. - Offers industry overview, supply chain structure, and regional manufacturing cluster insights. - Covers travel luggage, handbags, backpacks, business bags, and specialty bags. - Includes sourcing recommendations and practical supplier evaluation tips. - Aggregates data from major Chinese industry and government sources. - Features natural language interaction and a documented Python API for programmatic access.
Metadata
Slug china-luggage-sourcing
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is China Luggage Sourcing?

Comprehensive luggage and bag industry sourcing guide for international buyers – provides detailed information about China's travel luggage, handbags, backpa... It is an AI Agent Skill for Claude Code / OpenClaw, with 219 downloads so far.

How do I install China Luggage Sourcing?

Run "/install china-luggage-sourcing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is China Luggage Sourcing free?

Yes, China Luggage Sourcing is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does China Luggage Sourcing support?

China Luggage Sourcing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created China Luggage Sourcing?

It is built and maintained by 走过 (@1970168137); the current version is v1.0.0.

💬 Comments