Local Context Review
python scripts/_config_checker.py is a local diagnostics helper for the China Industrial Machinery Factory Skill skill. It may inspect agent_context, env. Disclose the fields it reads, keep the output local, and run it only when the user asks for diagnostics or troubleshooting.
China Industrial Machinery Factory Skill
Description
This skill helps international buyers navigate China's industrial machinery manufacturing landscape, which is projected to exceed ¥11.8 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.
Key Capabilities
- Industry Overview: Get a summary of China's industrial machinery industry scale, development targets, and key policy initiatives.
- Supply Chain Structure: Understand the complete industry chain from raw materials and core components to downstream applications.
- Regional Clusters: Identify specialized manufacturing hubs for different machinery types (CNC machine tools, construction machinery, agricultural equipment, packaging lines, robotics, etc.).
- Subsector Insights: Access detailed information on key subsectors (metal cutting machine tools, construction machinery, agricultural machinery, packaging machinery, industrial robots, etc.).
- Sourcing Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, and typical lead times.
How to Use
You can interact with this skill using natural language. For example:
- "What's the overall status of China's industrial machinery industry in 2026?"
- "Show me the supply chain structure for industrial machinery"
- "Which regions are best for factory CNC machine tools?"
- "Tell me about construction machinery manufacturing clusters in China"
- "How do I evaluate suppliers of packaging lines?"
- "What certifications should I look for in industrial robot suppliers?"
Data Sources
This skill aggregates data from:
- Ministry of Industry and Information Technology (MIIT) official policies
- China Machinery Industry Federation (CMIF) annual reports
- National Bureau of Statistics of China
- Industry research publications (updated Q1 2026)
Implementation
The skill logic is implemented in run.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 run.py for programmatic access:
get_industry_overview() -> Dict
Returns overview of China's industrial machinery industry scale, targets, and key policy initiatives.
Example:
from run import get_industry_overview
result = get_industry_overview()
# Returns: industry scale, 2026 targets, automation rates, key drivers, etc.
1---2name: china-industrial-machinery-factory3description: Comprehensive industrial machinery industry factory guide for international buyers – provides detailed information about China's machine tools, construction machinery, agricultural equipment, packaging lines, robotics, and other industrial machinery manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated).4---5
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9### Local Context Review
10
11`python scripts/_config_checker.py` is a local diagnostics helper for the `China Industrial Machinery Factory Skill` skill. It may inspect agent_context, env. Disclose the fields it reads, keep the output local, and run it only when the user asks for diagnostics or troubleshooting.
12
13# China Industrial Machinery Factory Skill
14
15## Description
16This skill helps international buyers navigate China's industrial machinery manufacturing landscape, which is projected to exceed **¥11.8 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.
17
18## Key Capabilities
19- **Industry Overview**: Get a summary of China's industrial machinery industry scale, development targets, and key policy initiatives.
20- **Supply Chain Structure**: Understand the complete industry chain from raw materials and core components to downstream applications.
21- **Regional Clusters**: Identify specialized manufacturing hubs for different machinery types (CNC machine tools, construction machinery, agricultural equipment, packaging lines, robotics, etc.).
22- **Subsector Insights**: Access detailed information on key subsectors (metal cutting machine tools, construction machinery, agricultural machinery, packaging machinery, industrial robots, etc.).
23- **Sourcing Recommendations**: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, and typical lead times.
24
25## How to Use
26You can interact with this skill using natural language. For example:
27- "What's the overall status of China's industrial machinery industry in 2026?"
28- "Show me the supply chain structure for industrial machinery"
29- "Which regions are best for factory CNC machine tools?"
30- "Tell me about construction machinery manufacturing clusters in China"
31- "How do I evaluate suppliers of packaging lines?"
32- "What certifications should I look for in industrial robot suppliers?"
33
34## Data Sources
35This skill aggregates data from:
36- Ministry of Industry and Information Technology (MIIT) official policies
37- China Machinery Industry Federation (CMIF) annual reports
38- National Bureau of Statistics of China
39- Industry research publications (updated Q1 2026)
40
41## Implementation
42The skill logic is implemented in `run.py`, which reads structured data from `data.json`. All data is cluster-level intelligence without individual factory contacts.
43
44## API Reference
45
46The following Python functions are available in `run.py` for programmatic access:
47
48### `get_industry_overview() -> Dict`
49Returns overview of China's industrial machinery industry scale, targets, and key policy initiatives.
50
51**Example:**
52```python
53from run import get_industry_overview
54result = get_industry_overview()
55# Returns: industry scale, 2026 targets, automation rates, key drivers, etc.
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