A Python-powered weather skill providing 7-day forecasts and life comfort indices for Chinese cities without requiring an API key.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-china
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install weather-china using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The weather-china skill is a robust tool designed for AI agents to retrieve accurate weather information directly from the official China Weather Website (weather.com.cn). It provides comprehensive data including 7-day temperature trends, wind conditions, and a variety of life indices like clothing, exercise, and allergy alerts. As a core component of the Openclaw Skills library, it offers a pure Python implementation that is easy to deploy and requires no complex API registrations.
This skill is particularly valuable for developers building localized assistants that need to provide real-time environmental context. By leveraging Openclaw Skills, the agent can translate simple city queries into detailed, actionable weather reports, making it an essential utility for travel planning, daily scheduling, and health monitoring.
To use this skill within your Openclaw Skills environment, ensure you have Python 3 installed. No external API keys or environment variables are required.
# Query weather with formatted text output
python3 skills/weather-china/lib/weather_cn.py query Nanjing
# Get structured JSON data for programmatic use
python3 skills/weather-china/lib/weather_cn.py json Shanghai
The skill returns structured data containing the following components:
| Feature | Details |
|---|---|
| City Info | Name, internal code, and data source timestamp |
| 7-Day Forecast | Date, weather conditions, high/low temperature, wind direction, and wind power |
| Life Indices | Flu (cold), Exercise, Allergy, Dressing, Car Wash, and UV indices with specific advice |
| Output Formats | Supports both plain text and JSON structures |
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