A smart weather query and analysis skill providing real-time conditions, multi-day forecasts, and actionable lifestyle recommendations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-wang
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 weather-wang 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 Weather Forecast & Intelligent Analysis?
This skill provides a robust interface for AI agents to query and interpret meteorological data for any specified city or region. It goes beyond basic temperature reporting by integrating intelligent reasoning to categorize weather quality and provide context-aware lifestyle suggestions. By leveraging this tool within the Openclaw Skills ecosystem, developers can build agents that proactively assist users with daily planning and travel safety.
The skill supports detailed data points including precipitation probability, wind direction, humidity, air quality index (AQI), and UV levels. It is designed to synthesize complex weather patterns into human-readable highlights and actionable advice, making it an essential component for any personal assistant or travel-oriented AI agent.
Weather Forecast & Intelligent Analysis Use Cases
- Planning outdoor activities like hiking or sports by checking the 3-day or 7-day outlook.
- Generating automated packing lists for business trips based on destination temperature variances.
- Monitoring environmental health factors like air quality and UV indices for sensitive groups.
- Receiving proactive alerts for extreme weather events such as typhoons, rainstorms, or heatwaves.
How Weather Forecast & Intelligent Analysis Works
- The agent extracts the location and duration (days) from the user's natural language request.
- The query_weather tool is invoked to fetch raw data from meteorological APIs.
- The system performs a logic-based analysis to categorize the day's weather as Excellent, Good, Fair, or Poor.
- AI reasoning is applied to generate specific travel suggestions based on criteria like temperature drops or rain probability.
- The skill checks for active weather alerts and highlights them at the top of the generated report.
- A structured JSON or Markdown report is returned to the user with current status, forecasts, and highlights.
Weather Forecast & Intelligent Analysis Setup
To integrate this weather query capability into your Openclaw Skills environment, ensure your agent has access to the query_weather tool. You can initialize the skill using the following configuration steps:
# Install the weather skill package
openclaw install skill-weather-query
# Configure your API keys for the weather data provider
export WEATHER_API_KEY="your_api_key_here"
Weather Forecast & Intelligent Analysis Data Schema & Taxonomy
The skill organizes output data into a structured format to ensure clarity and ease of integration. Below is the primary data structure used for weather reports:
| Key | Type | Description |
|---|---|---|
| weather_report | Object | Root container for the weather data |
| current_summary | String | A punchy summary of real-time conditions |
| forecast_summary | String | Overview of the weather trend for the requested period |
| highlights | Array | Bulleted list of key meteorological takeaways |
| suggestions | Array | Contextual advice (e.g., UV protection, clothing) |
| alerts | Array | Formal meteorological warnings (if any) |
Weather Forecast & Intelligent Analysis Advanced Features
- Multi-day granular forecasting supporting up to 7 days of detailed data.
- Comprehensive air quality (AQI) analysis with specific advice for sensitive populations.
- Intelligent temperature variance detection that suggests clothing changes when shifts exceed 10 degrees.
- Severe weather alert system with color-coded severity levels (Yellow, Orange, Red).
- Proactive safety warnings for high wind speeds and low visibility conditions.
SKILL.md
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