multiAI Summary Pending
china-lighting-sourcing
Comprehensive lighting industry sourcing guide for international buyers – provides detailed information about China's LED, smart, outdoor, automotive, and specialty lighting manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated).
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/china-lighting-sourcing/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1970168137/china-lighting-sourcing/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/china-lighting-sourcing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How china-lighting-sourcing Compares
| Feature / Agent | china-lighting-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 lighting industry sourcing guide for international buyers – provides detailed information about China's LED, smart, outdoor, automotive, and specialty lighting 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 Lighting Sourcing Skill ## Description This skill helps international buyers navigate China's lighting manufacturing landscape, which is projected to exceed **¥980 billion in revenue by 2026**. China accounts for over 60% of global lighting output. 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 LED lamps and luminaires, outdoor lighting, smart lighting, automotive lighting, and specialty lighting (grow lights, UV-C). ## Key Capabilities - **Industry Overview**: Get a summary of China's lighting industry scale, development targets, and key policy initiatives (energy efficiency, smart lighting). - **Supply Chain Structure**: Understand the complete industry chain from LED chips, drivers, optics to manufacturing and global sales channels. - **Regional Clusters**: Identify specialized manufacturing hubs (Zhongshan Guzhen as Lighting Capital, Shenzhen for LEDs, Changzhou for automotive, etc.). - **Subsector Insights**: Access detailed information on key subsectors (LED lamps, outdoor, smart, automotive, specialty). - **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 lighting industry in 2026?" - "Show me the supply chain structure for LED lighting" - "Which regions are best for sourcing smart lighting?" - "Tell me about automotive lighting manufacturing clusters" - "How do I evaluate suppliers of LED street lights?" - "What certifications should I look for in lighting products?" ## Data Sources This skill aggregates data from: - Ministry of Industry and Information Technology (MIIT) - China Lighting Industry Association (CALI) - 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 lighting 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.