A high-performance utility that fetches and summarizes real-time meteorological data for any specified city.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-query-ll
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-query-ll 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 Assistant?
The Weather Assistant is a specialized tool developed for Openclaw Skills to provide users with streamlined access to global weather information. By leveraging advanced web fetching capabilities, this skill transforms raw meteorological data into actionable insights, helping users plan their days with precision.
Built to be intuitive and developer-friendly, this skill serves as a core component for any AI agent requiring environmental awareness. Whether you are building a travel bot or a daily personal assistant, integrating this capability through Openclaw Skills ensures your users stay informed about temperatures, sky conditions, and local wind speeds.
Weather Assistant Use Cases
- Querying current weather conditions and temperatures for specific urban areas.
- Automating daily morning briefings that include personalized weather forecasts.
- Planning travel itineraries by checking the projected weather for future dates.
- Receiving proactive advice on what to wear or carry based on humidity and precipitation levels within Openclaw Skills.
How Weather Assistant Works
- The skill monitors user messages to extract two core parameters: the target city and the requested time.
- If the city name is missing from the request, the agent proactively asks the user for the specific location to ensure accuracy.
- Using the web_fetch command, the skill crawls live web data to gather the latest meteorological statistics.
- It parses the raw data to identify the temperature in Celsius, weather conditions (like Sunny or Rain), humidity, and wind speed.
- Finally, it formats the data into a clean report that includes a descriptive header and a helpful closing tip, delivered via Openclaw Skills.
Weather Assistant Setup
To deploy this skill, ensure your environment is configured to handle external web requests. Use the following command to initialize the skill within your agent:
openclaw skills:add weather
Once added, the skill will automatically trigger when users mention city-related weather queries in their prompts.
Weather Assistant Data Schema & Taxonomy
The skill organizes extracted data into a structured output to ensure consistency across different Openclaw Skills implementations:
| Attribute | Description |
|---|---|
| City + Time | The primary identifier for the weather report header. |
| Temperature | Current value provided in Celsius by default. |
| Condition | Categorical state such as Sunny, Rain, or Cloudy. |
| Metrics | Includes Humidity and Wind Power values. |
| Warm Tips | Contextual advice generated based on the forecast (e.g., 'Carry an umbrella'). |
Weather Assistant Advanced Features
- Proactive interaction logic that prompts for missing parameters like city names.
- Direct integration with web_fetch protocols for real-time scraping rather than relying on stale cached data.
- Standardized data formatting to ensure compatibility with other Openclaw Skills in a multi-agent workflow.
- Intelligent parsing of relative timeframes and natural language city mentions.
SKILL.md
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