An automated utility to fetch, process, and display live satellite weather imagery from the FY4B satellite.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yuntu
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install yuntu using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Yuntu Satellite Cloud Map?
The Yuntu skill is a specialized tool designed to provide AI agents with real-time access to satellite cloud imagery. By connecting to the National Satellite Meteorological Center (NSMC), it retrieves the latest visuals from the FY4B satellite. This skill is a vital component for developers building weather-aware applications within the Openclaw Skills ecosystem.
Beyond simple downloading, the skill integrates Tesseract OCR to analyze the image content and extract precise capture timestamps. This ensures that users receive not just an image, but contextually accurate meteorological data that is processed and formatted for immediate use in chat interfaces or automated reporting workflows.
Yuntu Satellite Cloud Map Use Cases
- Real-time monitoring of weather patterns and cloud cover for regional analysis.
- Automated retrieval of satellite imagery for meteorological research and documentation.
- Enhancing AI assistant capabilities to answer weather-related queries with visual proof.
- Providing updated environmental data for logistics and outdoor event planning.
How Yuntu Satellite Cloud Map Works
- The skill triggers when it detects keywords such as cloud map, satellite image, or real-time weather.
- It executes a retrieval script that connects to the NSMC cloud image server.
- The latest FY4B satellite JPEG is downloaded and stored in a local cache directory.
- Tesseract OCR scans the image to identify and extract the encoded capture time using the Chinese language pack.
- The system formats the timestamp into a human-readable string (e.g., March 30, 2026, 14:30).
- A combined response is generated, embedding the text and the image path using specialized media tags for the agent to display.
Yuntu Satellite Cloud Map Setup
To install this skill, ensure you have Python and Tesseract OCR configured on your system.
For Windows
winget install Python.Python.3.12
winget install UB-Mannheim.TesseractOCR
# Download chi_sim.traineddata to Tesseract-OCR/tessdata/
pip install requests pillow pytesseract
For Linux (Ubuntu/Debian)
sudo apt install tesseract-ocr tesseract-ocr-chi-sim python3-pip
pip3 install requests pillow pytesseract
For macOS
brew install tesseract tesseract-lang
pip3 install requests pillow pytesseract
Yuntu Satellite Cloud Map Data Schema & Taxonomy
The skill manages its data within a structured cache directory to ensure performance and traceability.
| Attribute | Specification |
|---|---|
| Storage Directory | ~/.openclaw/satellite_cache/ |
| Filename Format | satellite_YYYYMMDD_HHMMSS.jpg |
| Data Source | National Satellite Meteorological Center (FY4B Satellite) |
| OCR Engine | Tesseract (chi_sim) |
| Metadata | Captured timestamp extracted via visual character recognition |
Yuntu Satellite Cloud Map Advanced Features
- Cross-platform compatibility supporting Windows, Linux (Ubuntu/CentOS), and macOS environments.
- Intelligent OCR fallback: If character recognition fails, the skill defaults to system timestamps to maintain service continuity.
- Native media integration: Uses specific protocols to allow Openclaw Skills to render images seamlessly in chat windows.
- Automated cache management through standardized file naming conventions for easy cleanup and indexing.
SKILL.md
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