China Industrial Machinery Suppliers

v1.0.0

Comprehensive industrial machinery industry suppliers guide for international buyers – provides detailed information about China's machine tools, constructio...

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "China Industrial Machinery Suppliers" (findhappy7/china-industrial-machinery-suppliers) from ClawHub.
Skill page: https://clawhub.ai/findhappy7/china-industrial-machinery-suppliers
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

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Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install china-industrial-machinery-suppliers

ClawHub CLI

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npx clawhub@latest install china-industrial-machinery-suppliers
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Purpose & Capability
The name/description promise a suppliers guide and industry intelligence; the repository contains a data.json with cluster- and sector-level info and a run.py that exposes read-only accessors for that data. Nothing required by the skill (no env vars, binaries, or external credentials) is disproportionate to the stated purpose.
Instruction Scope
SKILL.md describes using the skill to query industry overviews, supply-chain structure, regional clusters, and sourcing guidance. run.py implements only read operations on the included data.json and the SKILL.md does not instruct the agent to read unrelated system files, env vars, or to call external endpoints. The SKILL.md cites public data sources as origins, but the skill embeds the data locally.
Install Mechanism
There is no install spec (instruction-only plus local files). No downloads, no external package installs, and no extraction of remote archives. The code runs purely from the shipped files.
Credentials
No required environment variables, credentials, or config paths are declared or accessed. run.py does not read environment variables or system configuration. The requested environment access is minimal and appropriate for a read-only data skill.
Persistence & Privilege
always:false (default) and the skill does not request elevated privileges or modify other skills or global agent settings. Autonomous invocation is enabled by default (platform standard) but is not accompanied by additional privileges or broad credential access.
Assessment
This skill appears to be a self-contained, read-only industry intelligence package: it serves data from the included data.json via simple Python functions and does not access the network or request secrets. Before installing, consider: 1) confirm you trust the publisher (source is listed as unknown), 2) treat the embedded data as a secondary source—verify critical supplier information independently, and 3) allow the skill only if you are comfortable with the agent invoking it autonomously (it cannot exfiltrate secrets because it does not access any). If you need real-time or contact-level supplier info, prefer an integration that uses verified APIs and explicit credentials.

Like a lobster shell, security has layers — review code before you run it.

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166downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

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 suppliers 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 suppliers 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.

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