A precision tool for AI agents to query and report real-time global weather conditions, including temperature, humidity, and wind speed.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install my-weather-query
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 my-weather-query 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 Query Skill?
The Weather Query Skill is a specialized module designed for AI agents to fetch and process meteorological data from major cities worldwide. As a key component of Openclaw Skills, it allows developers to provide users with accurate, real-time weather information through natural language interaction.
This skill focuses on delivering high-quality, formatted Chinese responses that include essential atmospheric metrics like temperature (Celsius), humidity, and wind power. It is built to bridge the gap between complex weather APIs and user-friendly conversational interfaces, ensuring that data is both accessible and actionable.
Weather Query Skill Use Cases
- Inquiring about current weather conditions in specific cities like Beijing or New York.
- Checking rain forecasts for upcoming travel or outdoor activities in the next 48 to 72 hours.
- Obtaining specific environmental data such as humidity levels and wind strength for localized planning.
- Providing daily weather briefings as part of a broader productivity workflow using Openclaw Skills.
How Weather Query Skill Works
- The AI agent identifies a weather-related intent and extracts the target city and requested timeframe from the user's message.
- The skill initiates a network request to a verified weather API to retrieve live meteorological data.
- Raw data is parsed to extract core attributes: temperature, weather status (sunny, rainy, etc.), humidity, and wind power.
- The skill generates a structured response beginning with the city and date, followed by detailed conditions and a friendly suggestion.
- If the location is ambiguous or the network is unavailable, the skill executes predefined error-handling protocols to guide the user.
Weather Query Skill Setup
To integrate this capability into your project, follow these steps within the Openclaw Skills framework:
# Install the weather query skill via the CLI
openclaw install weather-query
# Configure required network permissions in your skill configuration file
# Ensure your environment has access to the target weather API endpoints
Weather Query Skill Data Schema & Taxonomy
| Field | Type | Description |
|---|---|---|
| city | String | The target city name extracted from user input (Required) |
| time | String | The forecast window, e.g., today, tomorrow, day after (Optional) |
| temp | Number | Current or forecasted temperature in Celsius |
| status | String | General weather condition (e.g., Clear, Overcast, Rain) |
| humidity | String | Percentage of atmospheric moisture |
| wind | String | Wind direction and force level |
Weather Query Skill Advanced Features
- Temporal parsing for multi-day queries (today, tomorrow, and the day after).
- Contextual suggestions based on weather conditions (e.g., suggesting an umbrella during rain).
- Intelligent location disambiguation that prompts for city names when inputs are vague.
- Robust error handling for unsupported locations and network connectivity issues within the Openclaw Skills environment.
SKILL.md
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